Technology’s true promise lies in the good we can do and the challenges we can overcome — together.
Thereby at the interactive border of the teleology and the ontology, are raising questions of ethic, copyright, financial and global politic-economic stake with the "hermeneutic" as AI Stable Diffusion DALL-E Metaverse and the "heuristic" as Blockchain NFT, cryptocurrencies, the digital processing inclued the Machine learning...
When not are chips, gas-electricity energy global crunch and shortage and shipment embargos as in the present degrowth movement time instead of
some eastern countries (Russian, China...).
https://sites.google.com/view/desault/accueil/building-ai-business-smart?authuser=0
"BLOCKCHAIN AI and NEURISCIENCE"
CONTACT : IMRiManagers Consultancy
Udemy Business of IT Know-alls Partner
day.desault@imritechsearch.com
imritechdesault@gmail.com
AI-API - DRAG AND DROP TELEOLOGY-ONTOLOGY DIGITAL TRANSFORMATION
WITH HEURISTIC AND HERMEMEUTIC INTELLIGENCE
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Through an open collaboration with the World Economic Forum, we’re bringing together leaders across industry, technology, academia and government to solve a series of societal challenges in key industries including agriculture, financial services, healthcare, transportation and manufacturing. Together, these leaders will set milestones, contribute ideas and align resources to accelerate our ability to solve these critical problems.
Learn more about how we’re putting technology to work to tackle global challenges and achieve real change for society during the Sustainable Development Impact Summit in NYC.
Software Robots Are Used For:
IT Support and Management: RPA is widely deployed for IT support tasks, for enhancing desk operations and monitoring network devices.
Automated Assistant: In terms of customer support, machines execute repeatable tasks by answering queries in natural languages. Automated Assistants have reduced the dependency on call centres.
Process Automation: Many enterprises use RPAs to automate rule-based processes wherein the present IT architecture is not changed. These consist of back-office tasks related to
customer services, finance, HR, data entry etc.
"No, Robots Are Not Taking Away Your Jobs, They Are Making Them More Humane." Disha Misal "
No doubt but with burn-out disaster, because the nature's difference between A I and blockchain protocols and our brain, and because the competition would come from the synthetical DNA on the database market which is running by 14 billion dollars."
The new IT technologies (Cloud, AI, Blackchain...)
are creating a new "gold rush" aside Amazon or Google...
It is no significant productivity at a given moment
but
"TAKE CARE OF ITS BRAIN'S DIMINUTION MECANISME
and reward system included its elusice work life balance;"
http://www.strategie.gouv.fr/stes/strategie.gouv.fr/files/atoms/files/fs-rapport-blockchain-21-juin-2018.pdf
"Really no more information's expansion
than the inflation limit's axiom unless
the fake new."
Day Pierre DESAULT
day.desault@imritechsearch.com
https://www.hpe.com/fr/fr/solutions/transform-hybrid.html
Pourquoi la vitesse de l'expansion de l’univers dans la phase d'inflation dépasse-t-elle la vitesse de la lumière ?
Matt Elbé, Software engineer, science addict
"Parce qu’elle croît sans limite (apparente).
Cela ne viole pas la limite que constitue la vitesse de la lumière car cette limite ne s’applique qu’à la propagation de l’information. Or, dans le cas de l’expansion de l’univers, c’est l’espace-temps lui-même qui gonfle, de sorte qu’aucune information n’est réellement créée ou véhiculée. Par conséquent, ce phénomène peut s’effectuer à une vitesse arbitraire qui, d’après les observations, va de plus en plus vite.
Il n’y a donc pas réellement de “pourquoi”.
"Ainsi qu'il en soit de même pour la dualité Onde et Corpuscule, la superposition des états quantiques et le principe entropique, pour satisfaire notre besoin d'intelligibilité du monde sans pour autant rien comprendre à l'énigme de l'énergie noire et à celle de la courbure de l'espace-temps, tout en intégrant le paradigme de la formation des étoiles de l'univers comme étant une bataille entre l'attraction de la gravité et la répulsion de l'énergie noire . Une sorte de raisonnement circulaire pour la mise en oeuvre d'un processus de signification de l'Intelligence Artificielle voire sur la base future de l'exciton (particule mi-lumière mi-matière) de laser analogue à l'effet de Coulomb quand la lumière interagit sur certains matériaux nous permettant d'échapper à l'aliénation par les robots domestiques et de RPA." Day Pierre DESAULT
Since When Did AI Become Such A Roadblock For Enterprises?
RICHA BHATIA
With all the hype around artificial intelligence and businesses adopting in in their early stages, the new tech infrastructure costs have become a big roadblock. Most organisations are aware of the challenge, and their lines of business, IT staff, data scientists, and developers are working to define AI strategies. Despite the benefits reaped from AI, recent reports are indicating that expenses are rising due to hiring top engineers, researchers and developing cutting-edge technologies.
In fact, a Business Insider report about Google-owned DeepMind’s financial filings said that expenses had more than doubled thanks to staffing and administrative costs. The company known for productionising its groundbreaking research and developing its AlphaGo algorithm cited increased administrative costs and costs incurred due to hiring top talent.
Another key issue arising is hitting a wall in the AI initiative. We have often heard about cases that are in the POC or production stage, dealing in AI and DL applications hitting the wall due to a bunch of reasons. This is other than the black box or the unknown factor wherein teams hit a roadblock.
Another area where teams hit a wall is also related to infrastructure needs with limitations related to on-premise AI infrastructure. According to a recent networking report, DL algorithms are dependent on communications and need to keep up with the demand for AI efforts. Scalability and GPU environments have become critical for businesses to handle AI workloads.
Let’s Look At Some Of The Top Reasons
Rising Infrastructure Cost: When it comes processing AI tasks, it is well-known that standard CPUs do not suffice, an IBM whitepaper indicates. AI applications and especially deep learning systems used for processing petabytes of data are demanding in terms of data architecture and parallel processing capabilities. That’s why data-intensive companies which are at an early stage and are looking to undertake AI initiatives have to overhaul their existing infrastructure to optimize performance capabilities.
Cost Of Cognitive Software From Vendors Is Too High: According to an IDC report, one-third of enterprises reported they found vendors services highly costly. Even though companies are relying on open source frameworks or commercial software for developing AI solutions, the rising cost of cognitive software is too high. However, business leaders also have a choice of choosing from a clutch of open source frameworks that revolutionising the deep learning market.
Not Knowing The Right Software Or Algorithm: Many a time there are cases where companies have invested in AI software only to shelve it later. The most notable case is that of IBM Watson being shelved by MD Anderson Centre in Texas over unrealized gains and inexplicability of the system. In fact, the IDC report indicates that 23% of businesses are not aware of the right software or algorithms to be used for the AI solution.
Hiring AI Engineers With AI Skill Set: Even the DeepMind financial filing report indicated increased cost due to staffing AI engineers, researchers and academicians. The survey indicated that one-third of respondents cited the cost of staffing as a major hurdle in AI implementation, besides the cost of AI software. The AI talent gap has been burning topic of discussion and universities, EduTech startups and industries are working out solutions to bridge the gap. In fact, in a similar vein, data scientist shortage has also been a cause of concern since they are hard to recruit and filling a position takes a long time.
Increasingly, businesses are turning to thought leaders to lead AI initiatives. These leaders are also tasked with galvanising analytics unit, hire AI professionals with the needed skill set, identify relevant business use cases, overcome legacy infrastructure challenges and take a look under of use cases to enable companies to get the much-needed ROI and gain competitive advantage. The AI space is also seeing a rise of third-party vendors, system integrators and consulting partners who help in initial deployment.
Businesses are also factoring in other costs related to developing AI metrics, cost of staff, infrastructure and software. Companies also have to factor in costs related to productivity and ROI on the investment. Also, the AI era has brought about a massive change in datacenters with companies no longer relying on a mix of processors to bridge the performance and scalability gap. Also, where sensitive data or critical data is involved, costs related to compliance has to be factored.
Richa Bhatia
Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.
http://www.strategie.gouv.fr/sites/strategie.gouv.fr/files/atoms/files/fs-rapport-blockchain-21-juin-2018.pdf
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The Best AI Image Generators in 2022
UPDATED SEP 12, 2022 PESALA BANDARA
Whether you like them or not, Artificial Intelligence (AI) image generators have exploded in popularity this year and the technology shows no signs of stopping.
At the start of 2022, there were hardly any AI text-to-image generators available to the public, but with DALL-E finally becoming available in beta in July and Stable Diffusion being released a month later, there are now suddenly an array of AI image generators vying to be the best software on the market.
So if you’re feeling confused about which AI Image generator you should use in 2022, this is a complete guide to the best options out there.
DALL-E 2 -STATION DIFFUSION
A product of the Elon Musk co-founded research lab OpenAI, DALL-E 2, which we’ll refer to as simply DALL-E, is the software most people can name when you ask them about AI text-to-image generators.
When it launched in April, DALL-E stunned social media with its ability to turn a brief description into a photo-realistic image.
For the few people with privileged access to the closed-off tool, DALL-E was so exceptional that it almost felt like magic — whether that involved generating pictures of “a raccoon astronaut with the cosmos reflecting on the glass of his helmet” or “teddy bears shopping for groceries in Ancient Egypt,” all from a simple text prompt.
September 16, 2022
Those cool AI-generated images you’ve seen across the internet? There’s a good chance they are based on the works of Greg Rutkowski.
Rutkowski is a Polish digital artist who uses classical painting styles to create dreamy fantasy landscapes. He has made illustrations for games such as Sony’s Horizon Forbidden West, Ubisoft’s Anno, Dungeons & Dragons, and Magic: The Gathering. And he’s become a sudden hit in the new world of text-to-image AI generation.
His distinctive style is now one of the most commonly used prompts in the new open-source AI art generator Stable Diffusion, which was launched late last month. The tool, along with other popular image-generation AI models, allows anyone to create impressive images based on text prompts.
For example, type in “Wizard with sword and a glowing orb of magic fire fights a fierce dragon Greg Rutkowski,” and the system will produce something that looks not a million miles away from works in Rutkowksi’s style.
MS TECH VIA STABLE DIFFUSION
But these open-source programs are built by scraping images from the internet, often without permission and proper attribution to artists. As a result, they are raising tricky questions about ethics and copyright. And artists like Rutkowski have had enough.
According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski’s name has been used as a prompt around 93,000 times. Some of the world’s most famous artists, such as Michelangelo, Pablo Picasso, and Leonardo da Vinci, brought up around 2,000 prompts each or less. Rutkowski’s name also features as a prompt thousands of times in the Discord of another text-to-image generator, Midjourney.
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Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn’t his.
“It’s been just a month. What about in a year? I probably won’t be able to find my work out there because [the internet] will be flooded with AI art,” Rutkowski says. “That’s concerning.”
Stability.AI, the company that built Stable Diffusion, trained the model on the LAION-5B data set, which was compiled by the German nonprofit LAION. LAION put the data set together and narrowed it down by filtering out watermarked images and those that were not aesthetic, such as images of logos, says Andy Baio, a technologist and writer who downloaded and analyzed some of Stable Diffusion’s data. Baio analyzed 12 million of the 600 million images used to train the model and found that a large chunk of them come from third-party websites such as Pinterest and art shopping sites such as Fine Art America.
Many of Rutkowski’s artworks have been scraped from ArtStation, a website where lots of artists upload their online portfolios. His popularity as an AI prompt stems from a number of reasons.
"Secret Pass - Eagle Nest" is a personal work featured in Rutkowski's ArtStation portfolio.
GREG RUTKOWSKI
First, his fantastical and ethereal style looks very cool. He is also prolific, and many of his illustrations are available online in high enough quality, so there are plenty of examples to choose from. An early text-to-image generator called Disco Diffusion offered Rutkowski as an example prompt.
Rutkowski has also added alt text in English when uploading his work online. These descriptions of the images are useful for people with visual impairments who use screen reader software, and they help search engines rank the images as well. This also makes them easy to scrape, and the AI model knows which images are relevant to prompts.
Stability.AI released the model into the wild for free and allows anyone to use it for commercial or noncommercial purposes, although Tom Mason, the chief technology officer of Stability.AI, says Stable Diffusion’s license agreement explicitly bans people from using the model or its derivatives in a way that breaks any laws or regulations. This places the onus on the users.
Some artists may have been harmed in the process
Other artists besides Rutkowski have been surprised by the apparent popularity of their work in text-to-image generators—and some are now fighting back. Karla Ortiz, an illustrator based in San Francisco who found her work in Stable Diffusion’s data set, has been raising awareness about the issues around AI art and copyright.
Artists say they risk losing income as people start using AI-generated images based on copyrighted material for commercial purposes. But it’s also a lot more personal, Ortiz says, arguing that because art is so closely linked to a person, it could raise data protection and privacy problems.
“There is a coalition growing within artist industries to figure out how to tackle or mitigate this,” says Ortiz. The group is in its early days of mobilization, which could involve pushing for new policies or regulation.
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One suggestion is that AI models could be trained on images in the public domain, and AI companies could forge partnerships with museums and artists, Ortiz says.
“It’s not just artists … It’s photographers, models, actors and actresses, directors, cinematographers,” she says. “Any sort of visual professional is having to deal with this particular question right now.”
Currently artists don’t have the choice to opt in to the database or have their work removed. Carolyn Henderson, the manager for her artist husband, Steve Henderson, whose work was also in the database, said she had emailed Stability.AI to ask for her husband’s work to be removed, but the request was “neither acknowledged nor answered.”
“Open-source AI is a tremendous innovation, and we appreciate that there are open questions and differing legal opinions. We expect them to be resolved over time, as AI becomes more ubiquitous and different groups come to a consensus as to how to balance individual rights and essential AI/ML research,” says Stability.AI’s Mason. “We strive to find the balance between innovating and helping the community.”
GREG RUTKOWSKI
MS TECH VIA STABLE DIFFUSION
Rutkowski’s “Castle Defense, 2018” (left) and a Stable Diffusion prompted image.
Mason encourages any artists who don’t want their works in the data set to contact LAION, which is an independent entity from the startup. LAION did not immediately respond to a request for comment.
Berlin-based artists Holly Herndon and Mat Dryhurst are working on tools to help artists opt out of being in training data sets. They launched a site called Have I Been Trained, which lets artists search to see whether their work is among the 5.8 billion images in the data set that was used to train Stable Diffusion and Midjourney. Some online art communities, such as Newgrounds, are already taking a stand and have explicitly banned AI-generated images.
An industry initiative called Content Authenticity Initiative, which includes the likes of Adobe, Nikon, and the New York Times, are developing an open standard that would create a sort of watermark on digital content to prove its authenticity. It could help fight disinformation as well as ensuring that digital creators get proper attribution.
“It could also be a way in which creators or IP holders can assert ownership over media that belongs to them or synthesized media that's been created with something that belongs to them,” says Nina Schick, an expert on deepfakes and synthetic media.
AI-generated art poses tricky legal questions. In the UK, where Stability.AI is based, scraping images from the internet without the artist’s consent to train an AI tool could be a copyright infringement, says Gill Dennis, a lawyer at the firm Pinsent Masons. Copyrighted works can be used to train an AI under “fair use,” but only for noncommercial purposes. While Stable Diffusion is free to use, Stability.AI also sells premium access to the model through a platform called DreamStudio.
This horse-riding astronaut is a milestone in AI’s attempt to make sense of the world
OpenAI’s latest picture-making AI is amazing—but raises questions about what we mean by intelligence.
The UK, which hopes to boost domestic AI development, wants to change laws to give AI developers greater access to copyrighted data. Under these changes, developers would be able to scrape works protected by copyright to train their AI systems for both commercial and noncommercial purposes.
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While artists and other rights holders would not be able to opt out of this regime, they will be able to choose where they make their works available. The art community could end up moving into a pay-per-play or subscription model like the one used in the film and music industries.
“The risk, of course, is that rights holders simply refuse to make their works available, which would undermine the very reason for extending fair use in the AI development space in the first place,” says Dennis.
In the US, LinkedIn lost a case in an appeals court, which ruled last spring that scraping publicly available data from sources on the internet is not a violation of the Computer Fraud and Abuse Act. Google also won a case against authors who objected to the company’s scraping their copyrighted works for Google Books.
Rutkowski says he doesn’t blame people who use his name as a prompt. For them, “it’s a cool experiment,” he says. “But for me and many other artists, it’s starting to look like a threat to our careers.”
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How to Create an NFT Marketplace
A guide based on hands-on experience
ScienceSoft uses leading blockchain frameworks to build blockchain-based decentralized apps and NFT marketplaces for trading unique digital assets.
NFT Development Services
Table of contents
Solution summary
NFT use cases
Architecture of an NFT marketplace
Key features
Steps to develop an NFT marketplace
What is multi-chain marketplace
Success tips from ScienceSoft
Average project cost and time
About ScienceSoft
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How to Develop a Blockchain Solution
NFT Marketplaces: Quick Summary
An NFT marketplace is a blockchain-based online platform to sell and buy non-fungible tokens (NFTs). The popularity of NFT marketplaces consistently grows fueled by skyrocketed prices for NFTs – the most expensive NFT as of the start of 2022 is “Merge” by Pak that has been sold for $91,8 million.
Steps to launch an NFT marketplace: Setting up a blockchain network, integrating chosen digital wallets, creating smart contracts, building a customer-facing web app.
Popular assets sold as NFTs: Images, music, videos, artwork, tickets, gaming staff.
Go-to blockchain platforms for an NFT marketplace: Ethereum, Binance Smart Chain, Polygon, Cardano.
Cost of NFT marketplace launch: $150,000 on average.
Timeframes for NFT marketplace launch: 4-6 months.
NFT Specifics and Viable Use Cases
An NFT represents a certificate of authenticity or ownership of digital assets, like images, music, videos, artwork, tickets. Though often compared to cryptocurrencies that also run on the blockchain technology, NFTs are unique and can’t be traded as equivalents – the way cryptocurrencies are traded.
NFTs are stored on a public blockchain and contain the information about:
Who and when created an asset.
Who and when bought the asset.
At what price the asset was bought.
Who owns the asset at the moment.
At ScienceSoft, we recommend our customers to leverage NFT value in the following markets:
Arts and collectibles
An NFT creator and then a buyer own a piece of art though can’t prevent the distribution of copies.
Key points to promote NFTs in art can be:
A sense of ownership is vital for true art collectors.
Digital artists can claim the ownership of their art and connect with buyers directly, eliminating third-party services (like Spotify).
Ticketing
The ticket information stored on the blockchain confirms the authenticity of a ticket and the identity of an owner.
Key points to promote NFTs in ticketing can be:
Gaming and metaverse
NFT marketplaces offer gamers in-game staff like weapons, characters, skins, etc.
Key points to promote NFTs in gaming can be:
NFTs are one-of-the-kind, thus give a competitive gaming advantage.
Gamers can independently trade NFTs they don’t use anymore.
Components and Architecture of an NFT Marketplace
Following ScienceSoft’s experience in end-to-end development of NFT marketplaces, we share an illustrated example of an Ethereum-based NFT marketplace with short explanations to key terms and tools used.
Architectural components
A marketplace app is a web app where users sell and buy NFTs. Normally, it consists of client and server sides.
A digital wallet is an online service to store digital funds.
NFT metadata is the description of a digital asset sold as an NFT, specifically its name, creation date, attributes, owner, etc.
IPFS (Interplanetary File System) is a data storage system for distributed networks (blockchains). IPFSs are used to avoid power-consuming storing of digital assets with the metadata on the blockchain.
Smart contracts create a unique identifier for each NFT. Smart contracts for NFT marketplaces employ ERC-721 standard to create non-fungible tokens, which differentiates NFTs from fungible crypto tokens.
Blockchain is a distributed database that stores information about NFT transactions.
Techs and third-party services
Golang is the programming language ScienceSoft commonly uses for NFT marketplace back-end development.
Solidity is a programming language for smart contracts.
LevelDB is a database used for fast blockchain access.
AWS S3 is a cloud database that offers a range of storage classes for different data volumes.
Infura.io is a service providing access to the Ethereum blockchain.
Ethereum is the blockchain most widely used for NFT marketplaces. It stores the NFT identifiers and links them to respective digital assets.
ETH Gas Station provides information about the cost of Ethereum transactions.
CoinMarketCap is a price-tracking service for the crypto market.
Key Features of an NFT Marketplace
ScienceSoft shares fundamental features of an NFT marketplace. Any extra features will depend on the specificity of your business and will require individual consideration.
Storefront
Where users can buy NFTs or offer their own digital assets for sale.
Product listing
That can be filtered by a user’s preferences like collection, price, creator, etc.
Product page
With NFT description, reference to a creator and the history of bids and purchases.
User authorization
Via email and password, social media login or digital wallet login (in case of integrated digital wallets).
User profile
That contains personal information, history of transactions, owned NFTs.
Seller profile
Where sellers upload their digital works and initiate the NFT creation process, view the transaction history for their NFTs and royalties received.
Flexible pricing
Enabling NFT creators to list their asset for a fixed price or to run a timed auction.
Fixed marketplace fees
Charged from the price of an NFT when it’s bought and enabling marketplace monetization.
Royalty fees
Charged in favor of an NFT creator every time the NFT is resold.
Payment
Via a digital wallet, a mobile wallet or with a credit card.
Marketplace administering
User profile management
With a possibility to view and monitor user activity on the marketplace.
Content management
With a handy page editor to upload, edit and publish informational and promotional content.
Sales management
Giving instant access to sales reports and marketplace profit.
Set Up a Digital Platform to Trade NFTs
ScienceSoft is ready to help startups and established companies of all sizes design an attractive marketplace storefront and architect the server-side infrastructure to enable NFT trading.
GET EXPERT HELP
Key Steps of NFT Marketplace Development
If we summarize the experience ScienceSoft has had with blockchain-based marketplaces, we can describe the process of NFT marketplace launch in a number of key steps.
1. Defining a niche for an NFT marketplace. Among the most popular ones are artworks, video gaming content (e.g., online characters), music, sports memorabilia.
2. Choosing an optimal blockchain framework and launching the blockchain network.
NB! Though Ethereum is the most popular choice for NFT marketplaces, its transaction fees can be too high for a smaller company so don’t rule out alternatives.
3. Creating smart contracts that will be used to mint NFTs and trigger purchase transactions automatically if all the conditions of the sale are met.
4. Launching a web-based marketplace where users can act according to their chosen role: sellers upload their digital assets and buyers acquire associated tokens.
5. Setting up cryptocurrency payment gateways to enable marketplace users to buy, sell and transfer NFTs.
Why to Create a Multi-Chain NFT Marketplace
When launching an NFT marketplace, you don’t necessarily operate on a single blockchain. Actually, if you do, your marketplace will face the same limitations as the chosen blockchain network (for example, high transaction fees in case of Ethereum). Instead, we at ScienceSoft advocate for multi-chain NFT marketplaces integrated with several blockchain networks and also with various digital wallets. The resulting interoperability increases marketplace sustainability, optimizes blockchain energy consumption, and expands customer reach for your marketplace.
Blockchain Platforms ScienceSoft Recommends
Open-source protocol
The most popular blockchain to develop an NFT marketplace. Ethereum is often accused of a large carbon footprint driving high transaction costs, however it is reported to be undergoing a series of upgrades and expected to reduce the footprint by ~99.95%.
Open-source protocol
This blockchain is compatible with Ethereum Virtual Machine, which means that no extra development work is needed for smart contracts to operate in both Ethereum and Binance Smart Chain. Relies on the Proof of Staked Authority (PoSA) mechanism that provides for lower transaction fees.
Open-source protocol
Uses a proof-of-stake protocol, the most energy-efficient protocol for blockchain networks, which explains low transaction fees. Though Cardano started to enable smart contracts only in 2021, there is already a number of NFT marketplaces based on the Cardano blockchain.
Tips to Succeed with an NFT Marketplace
Start with an MVP. Don’t invest your whole budget to get an end-to-end solution if you are excited to tap into a trending NFT market, still question the viability of your business idea. Prioritize key functionality with your development vendor to have a run-time version of your marketplace and launch it. Thus, you will get early feedback from users and move further much more confidently.
Employ a test-driven development approach to create smart contracts. When writing smart contracts, you need to identify all possible combinations of conditions that enable or fail a smart contract. Running test cases before writing code allows verifying requirements at early stages of development and save time on re-coding.
NFT Marketplace Development Cost and Timelines
According to ScienceSoft’s experience, an NFT marketplace development project lasts 4-6 months from the discovery stage through to the launch and requires around $150,000 in investments. The cost can vary depending on individual requirements of your project. As a rule, factors having the greatest impact on the cost are:
The sophistication of the marketplace design
The number of integrated blockchain networks
The number of integrated digital wallets
The number and complexity of smart contracts
Launch an NFT Marketplace with ScienceSoft
Experienced in building blockchain-based decentralized apps, ScienceSoft provides a set of expert consulting and development services for your NFT marketplace project.
NFT marketplace consulting
The goal of our consulting involvement is to fully plan the development part to get a well-functioning marketplace compliant with your requirements. Specifically, we:
Research the competition to help you define your unique selling proposition and possible competitive advantages on a fast-evolving NFT market.
Examine potential regulatory risks.
Define the technology stack of a marketplace, choose blockchain platforms and digital wallets to integrate.
Provide an elaborate specification for the architecture and functional design of the NFT marketplace ecosystem.
Prioritize features for the MVP (if you go for it).
NFT marketplace development
To cover end-to-end development of your NFT marketplace, we:
Create an MVP or unfold step-by-step development of a full-fledged marketplace.
Set up chosen blockchain networks.
Create smart contracts.
Design a storefront of the NFT marketplace.
Integrate the marketplace with the blockchain networks and digital wallets.
Implement security controls.
START YOUR NFT MARKETPLACE
About ScienceSoft
ScienceSoft is an experienced IT consultant and software development provider headquartered in McKinney, TX. We enthusiastically use blockchain to create innovative business models and help our clients step into a growing NFT trading market by developing a sleek NFT marketplace. Being ISO 9001 and ISO 27001 certified, we guarantee the highest service quality and unfailing security of your customer data..
DISTRIBUTED LEDGER TECHNOLOGIES -DLT-
Un registre distribué (aussi appelé registre partagé ; en anglais, distributed ledger ou shared ledger) est un registre simultanément enregistré et synchronisé sur un réseau d'ordinateurs, qui évolue par l'addition de nouvelles informations préalablement validées par l'entièreté du réseau et destinées à ne jamais être modifiées ou supprimées1.
Un registre distribué n'a ni administrateur central ni stockage de données centralisé2.
Un réseau pair-à-pair et un algorithme de consensus sont nécessaires afin d'assurer le fonctionnement du système2. Une des formes de registre distribué est le système de la chaîne de blocs, qui peut être public ou privé.
Les registres distribués sont principalement connus en raison de leur utilisation dans l'implantation des cryptomonnaies, même si, techniquement parlant, la cryptomonnaie et le registre distribué sous-jacent sont deux choses différentes. Cependant, en pratique, un registre distribué doit être accompagné d'une cryptomonnaie (propriétaire ou utilisée à partir d'un autre registre) afin de fournir des incitations pour maintenir opérationnels les programmes de validation et de synchronisation.
D'autres utilisations possibles des registres distribués incluent les contrats intelligents (d'abord introduits par le protocole d'échanges décentralisés Ethereum) et le stockage de fichiers.
La signification exacte de l'expression chaîne de blocs (en anglais, blockchain) reste controversée. Alors que certaines affirment que chaîne de blocs est synonyme de registre distribué (et la plupart des journalistes généralistes tendent à l'utiliser dans ce sens), d'autres affirment que techniquement l'expression chaîne de blocs ne s'applique qu'aux chaînes de blocs linéaires comme celles utilisées par les systèmes Bitcoin et Litecoin et non aux systèmes basés sur des graphes orientés acycliques comme le Tangle ou Hedera Hashgraph. Selon cette deuxième définition, tous les systèmes de registre distribué ne reposent pas nécessairement sur une chaîne de blocs afin d'assurer avec succès l'exécution d'un consensus distribué : la chaîne de blocs n'est qu'un des types de structure de données pouvant être utilisés dans le cadre d'un registre distribué3.
Guide crypto : Tout comprendre à la blockchain
Communauté Rakoon
09 novembre 2020 à 09h00
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Tout le monde en a entendu parler, mais peu parviennent à se faire une idée précise de ce qu’est la blockchain. Et pour cause, beaucoup d’articles qu’on peut trouver sur le sujet sont truffés d’anglicismes et de mots tirés du jargon de la bourse et des informaticiens. De fait, on peut vite avoir l’impression que cette technologie, qui se rattache au Bitcoin et aux crypto-monnaies, ne peut intéresser que les experts.
Cette technologie révolutionnaire permet des échanges rapides de valeurs ou d’informations en pair-à-pair, en toute transparence et sans intermédiaire. Au-delà du Bitcoin et du monde des crypto-monnaies en général, ce concept trouve de nombreuses applications dans notre quotidien et est appelé à prendre de plus en plus d’ampleur dans un avenir proche. C’est pourquoi il n’est pas inutile de comprendre ce dont il s’agit, comment cela fonctionne, quels en sont les avantages et les inconvénients, et quels en sont les usages potentiels.
Minute définition : pair-à-pair
Le pair-à-pair, peer-to-peer en anglais (que l’on croise souvent dans sa forme abrégée “P2P”), signifie que l’échange se fait directement d’un internaute à l’autre. Ici, pas de serveur central : le transfert des données ou des actifs se fera directement de l'émetteur au récepteur.
La blockchain, c'est quoi ?
Pour résumer ce qu’est la blockchain, rien de tel qu’une citation du mathématicien Jean-Paul Delahaye, qui la qualifie de « très grand cahier, que tout le monde peut lire librement et gratuitement, sur lequel tout le monde peut écrire, mais qui est impossible à effacer et indestructible. »
Une définition de la blockchain
La blockchain, chaîne de blocs en français, est une technologie qui permet de réaliser des transactions (comme des paiements) et de transmettre des informations (contrats, ventes) de façon sécurisée et sans intermédiaire (banque, organisme de crédits…). Les informations en découlant sont stockées par ordre chronologique et horodatées. Lorsqu’un ensemble d’opérations est enregistré, le précédent ensemble d'opérations devient inaltérable, et ainsi de suite. Ainsi, toutes les opérations enregistrées sur la blockchain, au fur et à mesure qu’elles sont passées, sont conservées, consultables par tous les participants du réseau, et infalsifiables.
Il existe de nombreux types de blockchains. Deux d’entres eux sont particulièrement plébiscités : celui avec le consensus dit « Proof of Work », et celui avec le consensus dit « Proof of Stake ». Pour fonctionner, les blockchains ont besoin de validateurs, c’est-à-dire d’entités qui vont vérifier le registre des opérations qui sont passées sur le réseau.
Le consensus « Proof of Work » (PoW)
Dans les blockchains qui utilisent le consensus de « Proof of Work », ou preuve de travail, ces validateurs sont appelés des mineurs. Ils devront résoudre une équation mathématique complexe en mobilisant une importante puissance informatique afin de valider les opérations qui seront ajoutées dans la chaîne de blocs. Le mineur qui parvient à résoudre l’équation empoche une récompense en échange de son travail de validation. C’est la technologie utilisée par Bitcoin. Elle implique une puissance informatique importante : plus le matériel informatique du mineur sera puissant, meilleures seront ses chances de résoudre l’équation et d’empocher la récompense, qui constitue en quelque sorte son salaire pour le travail fourni. Ainsi, le travail des mineurs va consister à vérifier les données (transactions ou informations) entrant sur la blockchain, et contribuer à créer les blocs qui la composent.
La difficulté de l’équation mathématique soumise aux mineurs pour arriver à cette fin varie presque en temps réel, afin de respecter le délais de création de chaque bloc. Par exemple, sur le réseau Bitcoin un bloc est créé toutes les 10 minutes environ. La difficulté varie également en fonction du nombre de mineurs participants, de la puissance informatique mobilisée et du nombre d’opérations. Plus la concurrence pour valider ces opérations est élevée, plus la puissance injectée dans le réseau pour résoudre l’équation est importante. Et plus la puissance allouée au réseau est importante, plus celui-ci se trouve sécurisé.
Le protocole « Proof of Stake » (PoS)
Alors que dans le cadre de la preuve de travail, le mineur doit faire des investissements lourds dans du matériel de minage pour pouvoir avoir une puissance de calcul permettant de résoudre un problème mathématique complexe, le protocole “Proof of Stake” (PoS) nécessite un investissement tout à fait différent.
Pour participer aux opérations de validation et de sécurisation du réseau d'une blockchain PoS, il faut avoir accumulé une quantité minimale et suffisante de jetons de la crypto-monnaie échangée sur le réseau. Le nombre de jetons nécessaires varie d'un réseau à l'autre. Plus une personne ou une entité disposera de jetons d’une crypto-monnaie, plus on considérera que la sécurité du réseau est un enjeu important pour elle. On parle alors de « preuve d’enjeu », ou « Proof of Stake ».
Dans les blockchains qui utilisent le consensus PoS, les validateurs sont appelés forgeurs. Ici, le forgeur devra démontrer qu’il possède une certaine quantité de crypto-monnaies avant de pouvoir valider de nouveaux blocs et toucher la récompense. Dans ce cas, nul besoin de matériel de pointe énergivore ! L’intervention sur la blockchain par le forgeur suppose qu’il mette en dépôt une certaine quantité de crypto-monnaies. C’est ensuite un algorithme qui désignera, au hasard parmi les forgeurs éligibles, celui qui pourra valider le dernier bloc sur la blockchain.
En résumé, il s’agit un peu d’un « tirage au sort » parmi des candidats qui détiennent une certaine quantité d’actifs et qui les mettent en dépôt afin d’avoir le droit de participer aux opérations de validation des transactions. Si le premier candidat sélectionné ne crée pas le bloc dans l’intervalle de temps qui lui est proposé, l’algorithme sélectionnera automatiquement un deuxième candidat validateur à la place du premier. Dans l’environnement PoS, la chaîne la plus longue est celle qui est considérée par défaut comme valide.
PoS Proof of Stake Preuve d'enjeu ou Preuve de Mise sous Scellés
Les banques adorent les cryptos – De plus en plus de banques commencent à passer le pas de la cryptomonnaie. La banque suisse Sygnum, l’une des pionnières dans le domaine, vient d’annoncer le lancement d’un service de staking de Tezos.
Elrond, c’est avant tout une blockchain qui promet de miser sur une scalabilité hors norme. Elle propose d’améliorer de 1 à 1 000 le débit et la vitesse d’exécution des transactions, par rapport aux réseaux décentralisés existants. Consécration, eToro vient d’annoncer le listing du token natif eGLD à sa plateforme eToroX.
Ceci est un article promotionnel proposé en collaboration avec Elrond.
Une nouvelle typologie d’investisseurs
Les équipes du projet Elrond viennent d’annoncer que l’eGold sera inclus dans l’écosystème de la bourse eToro, et disponible à l’échange à partir du mercredi 23 décembre 2020. En effet, le token eGLD sera listé sur eToroX, plateforme conçue pour un public institutionnel, souhaitant opérer au sein d’infrastructures sécurisées et dignes de confiance.
En effet, la société israélienne eToro proposait déjà des services de trading sur les marchés des actions, des matières premières et le marché des changes de devises. Depuis quelque temps, elle a intégré les actifs numériques à son catalogue d’offre. Elle comptabilise plus de 15 millions d’utilisateurs à travers le monde, et sa capitalisation est estimée à 2,5 milliards de dollars.
Après 12 mois d’observation, eToro renforce sa présence sur un marché qui a récemment focalisé l’intérêt des institutions, après l’atteinte d’un nouveau haut historique pour Bitcoin. La plateforme d’échange proposera le token eGLD, encore peu connu des institutionnels, mais qui a toutes les cartes pour s’imposer comme valeur incontournable.
En effet, Elrond et son token eGLD (anciennement ERD) ont été conçus pour offrir une blockchain à l’échelle d’Internet. Cette ambition repose sur deux innovations majeures que sont le sharding adaptatif et un algorithme de preuve d’enjeu sécurisé (PoS). Le réseau d’Elrond peut traiter une moyenne de 15 000 transactions par seconde (TPS), ce qui est sans commune mesure avec les 7 TPS du réseau Bitcoin et les 14 TPS de celui d’Ethereum.
Lors de tests publics, Elrond a même réussi à atteindre les 263 000 transactions par seconde !
« Maiar », le nouveau Venmo décentralisé
Récemment, une autre nouvelle d’ampleur s’est également invitée dans l’actualité du projet Elrond : l’introduction de Maiar.
Cette application de paiement, dont le lancement officiel est prévu pour le 31 janvier 2021, permettra notamment de rendre plus aisé les paiements internationaux.
“Au cours de ses dix années d’existence, Bitcoin a prouvé que les cryptomonnaies étaient sûres et pouvaient tenir un rôle important dans l’économie 2.0. Elrond ouvre de nouvelles possibilités en offrant des performances blockchain à l’échelle d’Internet, et une application intuitive dénommée Maiar. Celle-ci a pour but de faciliter une nouvelle vague d’adoption, qui verra des millions de nouveaux entrants utiliser des services basés sur la blockchain”
Beniamin Mincu, PDG et fondateur d’Elrond Network
En effet, avec le wallet Maiar, le projet Elrond vise à accélérer une adoption généralisée des cryptomonnaies. L’application a pour objectif de fournir un panel complet de services, à l’image des géants du paiement numérique comme PayPal, Venmo, ou bien Google Pay.
Elrond aura toutefois un net avantage sur les services mentionnés ci-dessus (qui sont tous les trois centralisés) : il ne collectera pas d’informations personnelles, et aura les frais fixes les plus bas.
Elrond s’affirme comme un acteur incontournable de l’écosystème. Après un listing aussi important qu’original, la sortie de Maiar est attendue par une communauté toute entière. Les observateurs sont prévenus, 2021 s’annonce de plus en plus palpitante.
DISTRIBUTED LEDGER SOLUTIONS
A UNIVERSAL NETWORK OF DECENTRALIZED DATABASES
The CyberVein network is the first Distributed Ledger System allowing for the decentralized management of complex datasets on the blockchain itself, without requiring centralized storage providers.
Just as the Internet is a public network of networks, CyberVein is a public network of immutable databases, on which information can easily be traded, interconnected, and transformed into structured knowledge.
JUST AS THE INTERNET IS A PUBLIC NETWORK OF NETWORKS, CYBERVEIN IS A PUBLIC NETWORK OF IMMUTABLE DATABASES, ON WHICH INFORMATION CAN EASILY BE TRADED, INTERCONNECTED, AND TRANSFORMED INTO STRUCTURED KNOWLEDGE.DECENTRALIZED DATABASESThe CyberVein network is the fist as the Internet is a public network of networks, CyberVein is a public network of immutable databases, on which information can easily be traded, interconnected, and transformed into structured knowledge.
CyberVein allows multiple parties to process shared, distributed databases. Information rst Distributed Ledger System allowing for the decentralized management of complex datasets on the blockchain itself, without requiring centralized storage providers.
Jumaintained on CyberVein databases is immutable and protected from tampering, just like bitcoin transactions on the blockchain. No one, including parties to the database, can corrupt its records, delete it, or temper with its processing history.
BUILT-IN INTERCONNECTIVITY
Databases on CyberVein are independent, yet can be easily connected, referenced, and hence monetized, resulting in a reliable network of authenticated, immutable information.
AN ETERNAL RECORD OF TRUTH
All entries, modifications, and amendments to CyberVein databases are stored as appended smart contract transactions. This means that a CyberVein database automatically contains all previous versions of itself. The exact state of a database at a given time and date can easily be reconstructed, making it ideal for shared, immutable processing of data.
TAPPING INTO THE VALUE OF DATA
CyberVein is designed to incentivize the sharing of data, creating an asset market for the future of the information age. Owners of Data can easily monetize it, while the amount of available resources for researchers, entrepreneurs, and public institutions increases by several orders of magnitude.
Traditional blockchains are not designed to store vast amounts of structured data, especially if this data is being constantly processed by many participants in parallel. In order to build a network of decentralized databases, CyberVein has reinvented fundamental blockchain principals, transforming distributed ledgers into a powerful data management network.
CyberVein improves on DAG technology and introduces a novel and resource conserving consensus algorithm. “PoC” - Proof of Contribution - incentivises nodes to contribute valuable storage resources instead of demanding futile machine efforts as it is the case with traditional consensus algorithms.
IMPROVED DIRECTED ACYCLIC GRAPH
The CyberVein ledger is fractally built as a network of independent, yet interconnected Smart Contracts. Contracts are designed as private ledgers, immune to irrelevant network congestion, yet able to easily communicate and exchange value and information.
CyberVein modifies the Solidity smart contracting language, and optimizes it for data monetization and management.
DATA ORIENTED CONTRACTING LANGUAGE
Learn more about CyberVein's Technology
CyberVein is a network of immutable, blockchain-based databases on which information can be securely processed, traded, and shared. As such, the CyberVein network raises storage and processing requirements, no existing blockchain can meet.
To solve this, CyberVein improves on DAG technology, introduces a novel resource-conserving consensus mechanism, and modifies the Solidity contracting language to adapt it for the processing and monetisation of vast amounts of data.
Traditional blockchain design
DAG, or Directed Acyclic Graph Ledgers, differ from traditional blockchains in several ways. Most importantly, on a DAG ledger transactions are not grouped and verified in blocks that have to be mined. On a DAG network, nodes verify each other’s transaction on a P2P basis - every node wishing to perform a transaction is required to verify the transactions of two other nodes, creating an ordered sequence of linked events (hence a “Directed Graph”).
First and foremost DAGs, if used correctly and for the right purposes, hold the potential of overcoming blockchain’s scalability problem. Since each transaction entails the approval of two previous ones, the network’s speed increases exponentially with its size. The lack of blocks and the mining thereof means that transactions occur “on the fly” and not in clumpy intervals, the “block-size debate” is rendered irrelevant, and the dangers of centralized hashing power are mitigated significantly.
However, most importantly for CyberVein’s decentralized databases - since transactions are recorded individually as a P2P approved chain of events, not every node is required to store the network’s entire transaction history, as it is the case with PoW and PoS blockchains. This opens the possibility of “Sharding” - a type of database partitioning that separates very large databases into smaller, faster, more easily managed parts called data shards. On CyberVein, nodes are only required to store data shards relevant to their own transaction history and the smart contracts they are parties of. With this approach CyberVein is able to store entire databases as smart contracts which are permissioned to their owners and participants, without congesting the rest of the ledger.
The lack of blocks and the mining thereof also means that the maintenance of consensus works differently on DAG than on traditional blockchains. Theoretically speaking, the P2P transaction verification mechanism has consensus-keeping built into it. However, in order to prevent majority attacks, most DAG ledgers implement a version of Bitcoin’s Proof-of-Work, to attach an artificial cost to transaction verification. This is proven to render attacks economically infeasible. Alas, PoW is an energy-costly, and otherwise useless process, which makes blockchains inefficient.
CyberVein solves this by introducing a new kind of DAG-specific consensus algorithm called Proof-of-Contribution. Proof of Contribution measures the amount of disk-space a node donates to store parts of the ledger’s transaction history (or ledger “shards”), and compensates accordingly. Since disk space is a scarce resource, PoC serves as a barrier to outcompete other nodes in the verification process, making attacks costly and infeasible. In this sense, PoC uses disk space the same way PoW uses CPU\GPU resources, only that on CyberVein this resource is put to useful work, rather than wasted.
SOLVING DAGS CENTRALIZATION PROBLEM
The improved DAG design
Nevertheless, pre-existing DAG technology has had a dirty little secret. Most of the design proposals submitted to date are not truly decentralized and require privileged “Witness Nodes” to reduce the possibility of various attack vectors and to create an “official” order of transactions, which otherwise might be open to interpretation. These Witness Nodes have to be appointed by the network’s developers or elected by its users. These central points of control and failure are obviously a serious design flaw for a system that claims to be decentralized and resilient to political control.
CyberVein solves this flaw by further utilizing the Proof-of-Contribution consensus algorithm. Instead of appointed Witness Nodes, CyberVein maintains a network of Full Nodes which volunteer to store the entire CyberVein Ledger. Any node on CyberVein can join the Full Node Network, however in return joining nodes are required to provide large amounts of scarce disk space. This makes it so that an attacking node would have to outcompete the storage capacities of the entire CyberVein network in order to approve or to execute a single double spending attack.
CyberVein allows to maintain databases on the blockchain itself. This means that all database operations, such as the manipulation of data fields, rows, and columns, is mediated via blockchain transactions. For this to work properly, CyberVein adds data-processing specific functions to the Solidity contracting language, including functions designed to directly monetize data stored on CyberVein databases.
CyberVein solves this flaw by replacing Witness Nodes with an algorithmic solution based on Genesis Smart Contracts. Genesis Smart Contracts are contracts that are written into the initial entries of the ledger, and which serve as an agreed upon reference point for all future transactions. All transactions occurring in the network are not just linked to two predecessors, but also to these Genesis Contracts, creating an agreed upon sequence of events and an objective “timestamp”, as it is the case with traditional blockchains.
Sygnum se lance sur Tezos
En fin de semaine dernière, la banque Sygnum a annoncé, via un communiqué de presse, le lancement d’un service de staking de jetons Tezos (XTZ).
Désormais, les clients de la banque ont la possibilité d’y stocker des XTZ et de prendre part au processus de validation des blocs.
Pour rappel, Tezos utilise un mécanisme de consensus appelé « Liquid Proof of Stake » dans lequel les validateurs doivent mettre sous scellés (stake) des fonds pour participer à la validation.
Avec ce nouveau service, Sygnum annonce un rendement annuel pouvant aller jusqu’à 5 %. L’annonce laisse également présager l’ajout d’autres actifs dans un futur proche, comme l’explique le CEO, Martin Burgherr :
« Tezos est le premier jeton en Proof of Stake (PoS) sur la plateforme de Sygnum Bank, où nous élargissons continuellement notre offre pour offrir plus de choix à nos clients. »
Sygnum, une crypto-banque déjà bien installée
La banque Sygnum n’en est pas à son coup d’essai. En effet, celle-ci a obtenu son agrément permettant d’opérer des services liés aux cryptomonnaies en août 2019.
En mars 2020, la banque est revenue sur le devant de la scène avec le déploiement du premier stablecoin adossé au franc suisse, le Sygnum Digital (DCHF).
Évidemment, cette orientation crypto n’a rien d’étonnante lorsque l’on sait que la banque Sygnum fait partie du groupe SIX, connu pour sa crypto-bourse basée en Suisse.
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CVM Supplier Central Alternatives & Competitors
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CVM Supplier Central Alternatives & Competitors
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Looking for CVM Supplier Central alternatives? Analyze a range of top Vendors Management software that offer similar benefits at competitive prices. Empower your team by choosing the best CVM Supplier Central competitor that meets your unique business requirements.
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Superb software with simple instructions and simple to use for beginners who learn a lot about the business world accounting using this free version of software available Learn More
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A Next-Generation Vendor Management Solution
Gatekeeper is a robust vendor management software preferred by businesses across industries. This AI-powered system offers useful contract/contractor and vendor managemen Learn More
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A Flexible VMS Vendor Management System
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A SaaS-based Supplier Management Application
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A High-Performance Vendor Management Software
SAP Fieldglass is a cloud-based comprehensive software known for its robust vendor management tools. This industry-leading software offers a clean interface that is easil Learn More
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An End-to-end Vendor Management Platform
Zycus iSupplier is a high-performance vendor management system software designed to streamline all aspects of supplier management. This all-in-one software offers impress Learn More
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GROW AND OPTIMIZE YOUR SUPPLIER DIVERSITY PROGRAM.
With innovative, goal-oriented, and strategic solutions, CVM, the #1 provider in supplier diversity, helps businesses of all sizes grow without compromise.
IDENTIFY YOUR DIVERSE SUPPLIERS IN 15 MINUTES
CVM, A SUPPLIER.IO COMPANY, SERVES OVER 60% OF FORTUNE 500 COMPANIES
Powerful alone. Better together.
CVM offers a comprehensive suite of data, software and services to manage and grow your small business and supplier diversity program. They are powerful individually and even better when used together.
Access the largest and most complete database of minority, women, veteran, LGBT, and small businesses.
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Identify your small and diverse suppliers and track changes.
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Dealogic
Finance Fintech Insurtech AddDigital M/A industry Worldwide Platforms
Circular Carbon Economy
Diligent Equity & Compensation
Capital markets data and analysis for financial and corporate professionals.
Get comprehensive, mobile access to Dealogic’s trusted global financial markets platform for personalized, real-time primary market content.
Whether you need to quickly locate in depth company, sponsor, investor and deal profiles or collaborate more effectively with your team, the Dealogic app provides the tools needed to stay informed of business-critical events and make intelligent, data-driven decisions from anywhere.
Personalize your experience by following companies, deals and people across industries and regions relevant to you. Identify early opportunities with Dealogic’s predictive intelligence, and never miss an update with custom news alerts and daily top headlines.
Features:
- Personalized capital markets insights
- Search for companies, deals, news, people and more
- Real-time news
- Predictive analytics
- Benchmark performance
The Dealogic app is available to download and use by the Dealogic community as part of your existing membership.
Visit us at Dealogic.com.
NOUVEAUTÉS
We’ve introduced personalized capital markets insights, new intelligent search, real-time news and predictive analytics.
Google a new licensing worldwide program
https://www.blog.google/outreach-initiatives/google-news-initiative/licensing-program-support-news-industry-/
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Selected Success Stories of Our 3,300-Project Portfolio
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Migration to a new analytical system that ScienceSoft implemented helped one of the top market research companies secure an innovative big data solution based on Apache Hadoop, Apache Hive and Apache Spark frameworks. The new system was 100 times faster compared to the old one and could process 1,000 different data formats.
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A success story of a long-term partnership, which helped the Customer to become one of the leading providers of streaming solutions in the world. Created with ScienceSoft's help, the company's mobile apps now power T-Mobile, Orange, MTV, BBC, and other large brands.
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An ambitious start-up commissioned ScienceSoft to create an instant messaging and VoIP app which now boasts over 1.17 billion active users across the globe.
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ScienceSoft created software to help 200 US healthcare centers and retirement homes to process patient and medication data. Solution consists of Java application for management and reporting along with an analytical data warehouse to consolidate information from 200 databases.
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ScienceSoft built an Azure-based SaaS vCIO product and consistently delivered new features and updates to ensure a superior user experience for SaaS users.
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ScienceSoft implemented and customized IBM Security QRadar SIEM for one of the US states' government. The solution enabled permanent collection and analysis of events coming from log sources of more than 70 state agencies.
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A Mac version of the all-in-one web browser specifically suitable for music connoisseurs, video lovers and people with an active online presence. ScienceSoft also implemented a system of updates for Windows and Mac as well as a solution for torrents managing from the browser.
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A number of products to help big companies improve their innovation process with the help of semantic analysis of natural language texts including 15 mln worldwide patents, 3,000 cross-disciplinary scientific 'deep web' websites and the database of 8,000 scientific effects. The software allows engineering, marketing and production personnel to find more cost-effective, competitive and higher-quality system designs.
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During a 4-year outsourcing engagement, ScienceSoft’s team collaborated on the modernization of a 20-year-old legacy aviation insurance web application, replacing outdated non-maintainable technologies with moderns ones and optimizing its functionality.
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Using React Native, ScienceSoft developed iOS and Android trip booking apps with near-native experience. The clients of a US travel agency rated the apps 4.9 and 4.4 respectively.
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To support a long-term customer in a new service launch, ScienceSoft delivered a scalable IoT data management solution that allowed processing 30,000+ events per second from 1 million devices.
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ScienceSoft’s big data consulting team developed a data analytics platform for a Texas-based telecom company. A technology stack with Apache Kafka and Amazon Redshift at the core enabled insightful regular and ad-hoc reporting, as well as forecasting.
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Secure iOS and Android mobile apps for a bank with $254 million of equity capital. ScienceSoft performed end-to-end application development and went on to evolve the app, adding AR geolocation and porting the app to tablets.
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A success story of a 5-year cooperation which resulted in 12 products (6 of them created by ScienceSoft from scratch). One of the products has been awarded Best Imaging Application by a prestigious press photographers association. ScienceSoft's expertise allowed the Customer to shorten time-to-market significantly (3-4 months per project).
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By cooperating with ScienceSoft, the Customer was able to deliver an innovative image processing solution for iOS devices. The product saw several releases and was awarded as an innovative image processing solution.
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ScienceSoft helped the Enonic company to release a brand-new CMS called Enonic eXperience Platform. The solution provides a safe and predictable foundation for online presence of any kind. With a modern and flexible architecture, the platform offers an intuitive and fast way to create and manage websites, intranets, commerce and mobile solutions for public and private enterprises.
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A user-friendly self-care portal for a popular VoIP app to manage tariffs and pay for calls right from the browser. A rich payment functionality allows users to keep track of their calls and account balances in a secure and convenient manner.
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Backed by a 7-year expertise in Microsoft Dynamics CRM development, ScienceSoft joined the project to help the Customer create a CRM system for a bank with 7 million clients. Our team developed three modules: customer base management, sales activities planning and advanced analytics.
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ScienceSoft automated paper-based document management, order and warehouse management workflows with custom software solutions. The delivered solutions have largely catalyzed customer experience optimization.
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ScienceSoft implemented a Dynamics 365 customer portal integrated with a sales module for Saudia Cargo, Asia’s leading cargo airline.
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ScienceSoft’s team migrated two Magento 1 websites with about 90% of custom code to Magento 2 and merged them into a single multistore.
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For 4+ years, ScienceSoft helps a restaurant supplier evolve their Magento multistore and launch new branded storefronts for new clients.
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The success story of 5+ years of cooperation with the Viber startup resulted in the release and evolution of Android and desktop app versions of Viber, a feature-rich VoIP and instant messenger with over a billion registered users.
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Having developed Microsoft Dynamics solutions since 2008, ScienceSoft rolls out a customized CRM system for a multibusiness group of companies and integrated it with a data warehouse to centralize data from its separate business entities.
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ScienceSoft creates industrial image analysis software for automated optical inspection of printed circuit assemblies. The application based on machine vision techniques can significantly enhance the PCA manufacturing workflow, saving the time and ensuring the highest quality standards are met.
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ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification that allows the Customer to instantly identify problems with showing advertisements on their LED displays.
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ScienceSoft came up with a ServiceNow solution for a more consistent coordination of efforts across regional IT departments and overall ITSM automation, while preserving the Customer’s workflows.
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A corporate-wide Intranet solution for a Canadian full-service commercial bank to facilitate collaboration between departments. The solution provides tools for sharing documents and storing corporate knowledge base and also encourages internal communication to streamline business processes across all bank levels.
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The GAMP4-compliant solution for order and manufacturing automation for a multinational pharmaceutical company with 80+ years of experience and $15+ bln revenue. This complex system covers medicine ordering and production, stock control, sales, reporting and billing.
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A banking institution with a countrywide network of 100+ branches augments their team with ScienceSoft’s IT talents. The cooperation allows for fast marketplace development project pace.
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Data Upskilling
DATAIKU UPSKILLING DATAIKU https://content.dataiku.com/scaling-ai AMAZON WEB SERVICES To support today’s data analytics, companies need a data warehouse built for the cloud. One that offers ...
Data Flake for AI-ML & Upskilling
Shelley Osborne VP of Learning, Udemy Author of The Upskilling Imperative Welcome to our annual learning trends report! We've all experienced the world of work get flipped upside down ... beyond job-related skills How your workforce can “crack the code on collaboration” Why data science isn't just for data scientists anymore What skills will reshape software engineering and ...
State of Upskilling before 2020
... API D&D Blockchain AI API Drag & Drop Synopsis AI BA Runagood AI Big Data-DS-B2B AI Cost of Project AI Driven AnswerDock NLP AI Driven ee SCM AI ... Skills Platforms Soft Slills plus Tech Skills State of the Art Technology State of Upskilling before 2020 Subpages (951): View All
SOFT DELIVERY PLATFORM
... MANAGEMENT -TRADE RECESSION, FRIENDSHORING, ENERGY CRUNCH, WORLDWIDE SCM PARALYSIS- with Advanced Insights DataBase Driven, Data Upskilling and Data Disruptors for multiple Contextual Analysis Talents and for adaptable worflows, processes, deliveries ...
Fin. -Digital Uptime
... International 2d Thanks for sharing Matthew and certainly true that you need the best data when it comes to decision making so no reason why skills should be any different ... need highlighting from time to time. https://lnkd.in/gZUZyqw #weownourskills #sfia #dataeconomy #skilldevelopment #upskilling #decisionmaking #skillsforce Tools are NOT Skills | SkillsTx | Professional Development Plan | SFIA | Skills Test skillstx.com ...
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CX AR VR Jun 12, 2021, 3:00 PM by Desault Day Pierre
... by Sidetrade (4) Sidetrade streamlines cash collection & order to cash (O2C) using automation, big data & AI to optimize working capital & cut bad debt. cx/omni CXM cloud by cx/omni ...
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... it-alls Fuel your teams with courses on skills that matter most: Cloud Computing, Data Science, DevOps, WebDev and more. Get started Experience Udemy Business for yourself You’ve got ...
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Analysis Automated Intelligence Trend
https://www.fusioncharts.com/blog/how-to-create-action-based-data-visualization-with-yellowfin-contextual-analytics/?utm_medium=email&utm_source=eloqua&utm_campaign=edm-fc-data-vis-&utm_content ... it. But what if some people don’t understand, or can’t use the insights your visualizations present? The reality is not everyone has the knowledge to be able to ...
Fin. -Digital Uptime > Contextual Analytics
... network outages in 2021 demand a continued need for configuration change management via log analysis. By now, every organization should understand the importance of network logs; additionally, they should utilize ... flows, and configuration to improve triage accuracy and time. Figure 1: Reduce MTTR through contextual log visualization Introducing DX NetOps Insights for Advanced Log Analysis DX NetOps Insights network monitoring ...
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... 15) See Pricing SAVE Nexshop allows businesses to make effective marketing decisions based on analysis of customer behavior. SHOW ALTERNATIVES + UC Performance Management by NetScout 5.0 (1) See Pricing ... by Intuit 4.5 (162) $ SAVE Mailchimp Transactional Email API enables developers to send contextual emails with speed. SHOW ALTERNATIVES + EZlytix by EZlytix 4.7 (6) $ SAVE Analytics solution for ...
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ITOM-AIOps Jun 10, 2021, 6:12 PM by Desault Day Pierre
... varied and volatile data. I&O leaders should use AIOps platforms for refining performance analysis across the application life cycle, as well as for augmenting IT service management and automation ... an AIOps platform that can be applied to these ITSM use cases. Enable continuous insights across IT operations management (ITOM) by supporting these three aspects of AIOps platforms: observe, engage ...
Fin. -Digital Uptime > ITOM-AIOps
... benefit them”. “The health system knew that combining subject matter expertise with rapid data analysis could truly transform the practice of medicine” – Dr. Richard H. Goldstein, Chief Executive Of ficer ... unseen patterns and apply this understanding to constantly-arriving, customercreated data. The results? New insights gained and better decisions made. PureData System for Analytics is designed and engineered specifically to ...
Competitive Edge/IBM
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Fin. -Digital Uptime > -SAS Visual DL and ML -MRM
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Can you earn passive income running a Lightning node?
Jagjit Singh
JUN 26, 2022
Cointelegraph
1.
What is a Lightning node?
2.
How does a Lightning node work within the Lightning Network?
3.
How to run a Bitcoin Lightning node?
4.
How to operate a profitable lightning node?
5.
What are the various Lightning Network problems?
1.
What is a Lightning node?
A Lightning node is a piece of software that links to the main blockchain network and the Lightning Network, itself.
A node is software that connects to the blockchain network and exchanges the most up-to-date blockchain data. Its main goal is to keep track of every transaction on the blockchain network, making it immutable, transparent and decentralized. There are different nodes in each blockchain network; for instance, the Full node and Light node are the key Bitcoin (BTC) nodes.
On the contrary, specialized nodes known as miners solve mathematical puzzles and add transactions to a block of transactions to earn block rewards and transaction fees. However, full Bitcoin nodes verify transactions but do not collect block rewards. Still, there are other reasons why users should run a complete node, such as contributing to the general security of the Bitcoin network and boosting transaction security, which is critical if you plan to execute multiple Bitcoin transactions daily.
A Lightning node (LN) links to the main blockchain network such as Bitcoin, Litecoin (LTC) and the Lightning Network, itself. The Lightning Network's nodes differ from those on the Bitcoin network in a number of ways, the most notable of which is the way they verify transactions. For example, the Bitcoin network requires nodes to validate every transaction on the blockchain, but the Lightning Network only requires nodes to verify transactions that connect directly with it.
But what are the benefits of running a Lightning node? To fully explore and appreciate the pros of LN technology, you must have at least one node up and running. Regardless of their network, anyone can run a node thanks to decentralization. So, how many lightning nodes are there? The number of public lightning nodes and merchants' payments over the Lightning Network is increasing regularly.
2.
How does a Lightning node work within the Lightning Network?
The Lightning Network is built by individual payment channels between parties united to route transactions. The LN is the outcome of the interconnections between multiple payment mechanisms.
The Lightning Network is a second-layer solution built on top of the Bitcoin blockchain to solve issues like long transaction confirmation times. An unstructured network surrounds it, and payments are made using channels, which are ad hoc peer-to-peer connections. In a channel, any number of payments can be sent. Nodes that are run by individuals or corporations route payments to keep the network running.
Any quantity of BTC must be locked up in a payments channel before using the Lightning Network. Then, until the channel is closed, it can be spent across the LN. An invoice, a long alphanumeric string of digits frequently represented by QR codes, is created by those who wish to receive a transaction. The person making the payment just scans the invoice with their Lightning Wallet and confirms the payment by providing a digital signature.
The payment confirmation is instantly sent to the original creator of the request and happens in a few seconds. Payments are not subject to long wait periods or excessive fees because they are not made on the Bitcoin blockchain. This means that micropayments of as little as one satoshi can be made using the LN. After using the network, one can exit by closing the channel to use their BTC on the main Bitcoin blockchain.
So, can you make money running a lightning node? The most obvious answer is “Yes,” but your profit might not necessarily be expressed in satoshis. You can earn BTC by forwarding transactions from other Lightning nodes through your node. Make sure your node is financed by sending BTC to your node wallet address and establishing channels with other nodes so you can begin earning BTC by participating in the Bitcoin Lightning Network.
3.
How to run a Bitcoin Lightning node?
The prerequisites to run a Bitcoin Lightning node include an amount of Bitcoin to fund your Lightning channel, fiat money to buy the hardware equipment(s), and a Lightning-compatible wallet.
Remember that Lightning nodes are non-mining nodes, which means you aren't mining Bitcoin but are vital to validating Bitcoin blocks. Validation Nodes are the most common name for these. MyNode and Umbrel are two of the most popular specialized hardware options for validation nodes. In just a few simple steps, you can set up a new myNode device.
To begin, download the myNode image for your device type and follow the instructions on the download page to flash it to an SD card. After that, turn on the device and connect an external SSD. You'll be asked to type in your product key. You can select that option if you're using the Community Edition. Otherwise, enter the product key that was emailed to you or that you can find on the bottom of your device.
The device will then start synchronizing the Bitcoin Blockchain! Depending on your device and network capacity, this process could take several days. The web interface of the myNode device will show you the current synchronization status. The device will automatically keep connected with the Bitcoin network and display the main application page once the initial sync is completed.
The primary myNode home page will appear once your myNode device is ready. If you are comfortable with Linux, you can connect to your myNode device through SSH. You can connect to the gadget using its IP address or hostname.
Use the default credentials as Username: admin and Password: bolt (it is recommended to change your password) to start using all the features myNode has to offer. The next step is to create a Lightning wallet on your myNode. Go to the main myNode page and click the "Lightning Wallet" button to create the wallet. After that, click "Create Wallet" to get a seed phrase.
This phrase is crucial, and anyone who knows it can access your money. Make a note of this sentence as a backup, and don't tell anyone! After you've written down your seed phrase, click "Continue." Re-enter your seed phrase on the next page to ensure your backup was generated correctly. To make your wallet, click "Create."
If your phrase is correct, you will be redirected to the main Lightning page, where your Lightning wallet will begin syncing and setting itself up. The Lightning wallet should be ready in a few minutes, and you should see a page similar to this:
4.
How to operate a profitable lightning node?
Lightning nodes search out the most efficient method for processing transactions. To be lucrative, you'll need to set your own node's charge low enough that you're considered affordable by the network but high enough that it turned out to be one of the best ways to earn passive income with crypto.
Running a node is more like art than a science because special care and attention are required for each channel. When assessing fees, traffic flow, which channels to open and close, and rebalancing, you need to look at how traffic moves and how much it costs to move the traffic by focusing on a more macro view over time. So, how do you make passive income with nodes?
To feed the traffic, consider adjusting your channels. However, until traffic goes both ways, don't keep a channel perfectly balanced. For example, if traffic travels in one direction, as it does on many channels, then sats must be constantly pushed or pulled back to feed the traffic.
In addition to the above, it's a good time to look at routes during rebalancing. For example, you can see where things can be moved for a low cost, which is connected to whom, and where you can open a channel to one of the connecting nodes to reduce fees and increase routing potential.
Setting up a Tippin.me account to accept tips on social media via the Bitcoin Lightning Network is perhaps the most accessible and user-friendly way to make money with the Lightning Network. Additionally, you can earn a few sats every time someone transacts through your payment channel by supporting the rapidly growing Lightning Network.
The video creators may want to check Light Tube, a web-based platform similar to YouTube that allows users to publish videos in return for BTC via the Lightning Network. Users wishing to see a high-definition video must pay the required fee (usually 100 satoshis). On the other hand, uploaders can use LN payments to redeem the money they've earned from their videos.
But, how much does it cost to run a Lightning node? Remember that making money is not a motivator for running a LN, as Lightning node profit is usually a few pennies per month at best. On average, the gear necessary to run a node will cost between $200 and $400.
5.
What are the various Lightning Network problems?
Routing fees, channels being fraudulently closed, the exposure of nodes to online theft and malicious attacks are a few problems with the Lightning Network.
Routing fees are among the vital Lightning Network problems that are required to transfer payments between channels. However, nodes do not get any reward in return for facilitating payments. Also, fraudulent channel closure, which means one party closes the channel without notifying the other party, leading to offline transaction risk is another issue with the LN.
To transmit and receive payments on Bitcoin's Lightning Network, nodes must always be online, making their private keys susceptible to hacks, thefts and scams. However, cold storage can help prevent the loss of keys and users' funds.
Moreover, participants may be unable to retrieve their money back quickly enough if the payment channels become overloaded due to a malicious attack. Therefore, before investing in any projects, ensure that you conduct reasonable due diligence, such as assessing different blockchains and analyzing crypto tokens.
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CERTAINS MINEURS DE BITCOINS POURRAIENT AVOIR DU MAL À REMBOURSER LEURS PRÊTS
Pauline Armandet
Le 27/06/2022 à 18:02
Avec la chute du bitcoin, certains mineurs pourraient avoir du mal à rembourser leurs prêts garantis par leurs équipements. Près de 4 milliards de dollars de prêts seraient concernés.
Depuis deux mois, l'activité des mineurs de bitcoins est bouleversée à la fois par la chute du cours du bitcoin, qui a perdu jusqu'à 70% de sa valeur depuis son plus haut niveau en novembre dernier à 69.000 euros, la hausse des prix de l'énergie mais également par la baisse du prix des équipements de minage (machines, ordinateurs, cartes graphiques).
Or, certaines sociétés de minage peuvent placer leurs équipements comme garantie pour obtenir des prêts auprès de sociétés spécialisées, de Galaxy Digital à New York Digital Investment Group (NYDIG), en passant par les plateformes de prêts BlockFi et Celsius. Ces deux dernières sociétés étant, pour rappel, dans la tourmente.
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Dans le contexte de baisse du prix du bitcoin et des équipements de minage, "ces plateformes de prêts pourraient être considérablement sous-collatéralisées", a déclaré Ethan Vera, cofondateur de la société de minage Luxor Technologies, sur Bloomberg. Dit autrement, le prix de leurs équipements serait passé en-dessous du capital restant dû pour leurs prêts. Ethan Vera estime que 4 milliards de dollars de prêts garantis par des équipements de minage seraient concernés. Cela représente un "risque potentiel pour les principaux prêteurs de crypto-monnaies", considère Bloomberg.
"Jusqu'à présent, peu de mineurs ont fait défaut sur leurs prêts, mais les ventes récentes montrent des signes de détresse", ajoute le média. La société de minage américaine Core Scientific a ainsi vendu 2.000 bitcoins en mai "pour couvrir des coûts opérationnels", tandis que la canadienne Bitfarms a vendu la moitié de ses bitcoins début juin pour "rembourser une partie de son prêt de 100 millions de dollars" à Galaxy Digital.
"La vente des réserves de bitcoins accentue la pression sur les prix et le coût des équipements pourrait chuter encore plus bas si les prêteurs -qui cherchent à récupérer leurs pertes sur les défauts de paiement- commencent à liquider les machines qu'ils reprennent", ajoute Bloomberg.
Car en matière de minage, toutes les sociétés ne sont pas dans le même bateau: s'il est à ce jour admis qu'il n'est pas rentable de miner tout seul chez soi (lire notre article à ce sujet), des sociétés de minage établies depuis plusieurs années pouvaient réaliser des marges allant jusqu'à 90%, lorsque les cryptomonnaies étaient au plus haut.
Or, les deux crypto-krachs récents peuvent mettre à mal l'activité de plus petites structures (ou plus récentes).
"Un bouleversement du secteur pourrait être imminent, en particulier pour les petits opérateurs à trésorerie négative qui ont acheté des équipements coûteux il y a plusieurs mois, en pensant qu'ils prendraient de la valeur. Si vous tenez compte des frais généraux d'infrastructure et des taux d'intérêt, le coût total (de minage par bitcoin, NDLR) pour certains mineurs peut déjà dépasser 20.000 dollars, ce qui correspond au prix actuel du bitcoin, a déclaré Wilfred Daye, directeur général de Securitize Capital", ajoute Bloomberg.
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L’apport de l’Intelligence Artificielle pour les entreprises
Commercial, Marketing, Strategico, Stratégie
L’intelligence Artificielle signe l’un des plus importants changements technologiques de nos sociétés. Nous la retrouvons déjà dans bien des aspects de la vie quotidienne avec notamment les chatbots sur les sites web et les assistants vocaux embarqués dans nos smartphones. Les entreprises sont et seront certainement les grands bénéficiaires de ce virage technologique. Si des craintes demeurent quant à l’impact négatif de l’IA sur les emplois, les attentes sont plus importantes. Quels sont les avantages de l’Intelligence Artificielle pour les entreprises ?
L’Intelligence Artificielle optimise la production
Les entreprises du secteur industriel, de toutes tailles, ont déjà intégré l’IA au sein de leur process de production. On la retrouve à présent notamment dans les machines et dans les logiciels de planification. L’IA fait partie de ces éléments qui dessinent l‘industrie de demain, l’industrie 4.0.
Les bénéfices sont colossaux puisque selon une étude la productivité de ces entreprises pourrait bien augmenter de 40% d’ici 2035. La production est optimisée grâce au machine learning qui permet aux robots de procéder à des calculs de toutes sortes en temps réel pour adapter la cadence, augmenter le taux d’occupation des machines, épauler un opérateur sur la ligne de production, gérer les stocks de manière optimale… L’IA accélère la production, augmente la productivité, diminue les frais et les délais.
Une meilleure performance commerciale
En intégrant l’IA dans les CRM, les entreprises de services ou de vente de produits bénéficient d’une meilleure performance commerciale et financière. Les futures versions des CRM tels que Salesforce permettront aux commerciaux, aux responsables marketing et digitaux ou encore aux managers d’atteindre et de dépasser leurs objectifs. Keith Block, l’un des dirigeants de Salesforce estime que « L’IA devrait affecter profondément le marché du CRM en offrant aux employés une productivité sans précédent, et en donnant aux organisations la possibilité de proposer de meilleures expériences à leurs clients. Pour les entreprises adoptant ces technologies, il est donc essentiel de créer de nouveaux programmes visant à développer les compétences de leurs effectifs afin que ces derniers soient prêts pour les innovations de demain. »
Le cabinet de recherche IDC planche même sur un accroissement des revenus des entreprises de plus de 1 000 milliards de dollars à l’horizon 2021 grâce à l’utilisation de l‘IA dans ces logiciels. Les employés seront plus productifs, convertiront plus efficacement les prospects en clients, les fidéliseront avec plus d’efficacité, les cycles de ventes seront raccourcis… Une telle hausse des revenus des entreprises engendrerait selon IDC une création de postes de plus de 800 000 emplois supplémentaires.
Une relation client bonifiée
L’une des facettes actuelles les plus connues de l’IA sont les chatbots. Ces robots conversationnels sont déjà présents dans nombre de sites web, marchands ou non marchands. Leur intérêt est multiple : il guide le client dans sa navigation, sa recherche d’infos ou de produits, il remplace le service client 24/24 et 7j/7… Les chatbots sont capables d’apporter une réponse sur mesure et immédiate à un panel de requêtes des plus larges. Avec en bout de ligne une plus grande satisfaction des clients. Et donc une relation client bonifiée pour l’entreprise avec comme atout de pouvoir renforcer ses positions sur son marché voire même de prendre les devants.
Une meilleure qualité de vie au travail
Le phénomène du turnover et du celui du burn-out sont devenus deux problématiques majeures pour les entreprises. Face à de trop fortes doses de stress ou face à de trop importantes charges de travail, les employés baissent les bras. L’IA génère dans ce contexte une réponse idéale.
Les assistants vocaux embarqués dans des solutions telles que Cortana de Microsoft, Siri d’Apple et Google Assistant pour ne citer que les plus connus se positionnent comme de véritables assistants personnels du salarié. Ces bots facilitent, accélèrent et automatisent de nombreuses tâches. Ils peuvent l’aider à trouver le bon contenu, à traduire un texte, à dénicher des infos de toutes sortes, à rédiger des emails sans faute et plus rapidement, à lancer différentes opérations en simultanée. Autant d’actions qui soulagent le salarié, le délestent de tâches chronophages, améliorent son efficacité. Et participent à le faire se sentir bien au travail.
Mais l’IA a également vocation à améliorer significativement la collaboration et les workflows dans l’entreprise. Les plateformes collaboratives pullulent : Slack, Trello, Google Hangouts Chat, Microsoft Teams, Cisco Spark, Jive…. Ces applications dotées d’IA sont spécialement conçues pour que tout le monde puisse échanger travailler efficacement à distance et en équipe via son PC, son mobile ou de sa tablette. Ces outils améliorent les échanges et les relations, rendent le travail de chacun plus smart. Ces applications collaboratives permettent ainsi une meilleure communication au sein de l’entreprise, un meilleur niveau de relations professionnelles et humaines.
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HOW TO BEATING THE INFLATION EFFECTS WITHIN THE CRISIS MANAGEMENT
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Case study : Verizon Q2 & Inflation
https://www.fiercetelecom.com/telecom/verizon-q2-earnings-slammed-inflation?utm_source=email&utm_medium=email&utm_campaign=FT-NL-FierceTelecom&oly_enc_id=2448A7828712A9W
Retailers overstocked as supply chain backlog eases
Many of the cargo ships stuck at sea during the supply chain crisis have now offloaded merchandise, which is crowding shhttps://www.facebook.com/hashtag/oilpainting
https://www.cbsnews.com/video/retailers-overstocked-as-supply-chain-backlog-eases/
https://www.youtube.com/watch?v=mKJqlXySUcY&list=RDmKJqlXySUcY&start_radio=1
