Machine Learning
ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is the technology used for equipping computer systems with the ability to make decisions like humans. Being one of the trending technologies, when AI programs are fed to systems, the aim is to mimic human intelligence for performing complex tasks such as pattern recognition, speech recognition, weather forecast and medical diagnosis.
AI is used in navigation based applications like Uber, voice assistants like Siri, video streaming services like Netflix, IoT devices and in search engines like Google and Bing. AI helps in automating tasks such as traffic, scheduling trains, making business predictions and designing driverless cars!
By 2030, AI automation is expected to create more than 70 million jobs. The sad fact is that AI might wipe out more than 23 million jobs by the same time frame. AI will create jobs in areas such as testing, support, maintenance, programming and data science. Software developers who know AI earn much more than developers who don’t.
So, learning AI will help you secure jobs such as
Machine Learning Engineer Data Scientist Computer Vision Engineer Data Analyst Business Intelligence Developer
DATA SCIENCE
Most of this data is in the form of huge data sets that are unstructured. The role of data scientists is to convert these unstructured data sets into structured datasets. Then, these data sets can be analyzed to identify patterns and trends. These patterns are useful for understanding the company’s business performance, customer retention, and how these areas can be improved.
The average salary of a Data Scientist is $117,345/yr. No wonder the Harvard Business Review called it the “sexiest job of 21st Century”. But getting a job in this field will require you to have a thorough understanding of mathematics, statistics, computer science, and programming. Learn more about data scientists salary in India.
Future scope of data science is bright which will create opportunities for the following career roles:
Data Scientist Data Architect Business Intelligence Manager Data Engineer Data Analyst Business Analyst
Internet of Things
It is predicted that more than 41 billion devices powered by IoT will be used by 2025.
IoT not only enables the connection between different devices but also their remote access. For example, you lock doors of your car remotely, preheat your ovens and geysers. The FitBit that you use for tracking the number of calories you burn also runs on IoT technology. IoT chips embedded on machines help businesses to assess the performance of those machines and assist in their maintenance. Learn about the real world IoT applications in 2021.
Learning this latest technology will help you find jobs such as:
IoT Software Developer System Design Engineer IoT Product Manager IoT Research Developer IoT Solution Architect
So every time a new transaction is added to the ledger, it is stored as another block in the chain of transactions – hence the name. Blockchain is updated after the different parties contributing to the ledger agree. After new data is fed into a block, it cannot be erased. This makes technology verifiable and secure.
This validation of transactions helps companies reduce their costs as no third party has to be paid. The system is very secure and there is no need for paying for centralized entities, as the technology is decentralized. Transactions are easier to track using Blockchain.
There is a rise in careers in Blockchain and it will create different job positions which are as follows:
Blockchain Developers Blockchain Quality Engineer Blockchain Legal Consultant Blockchain Engineer
VR is the technology by which you can immerse yourself in an environment that seems astonishingly realistic. It is the use of computer technology for creating a simulated environment. It is very popularly used for playing computer games. Unlike traditional games where you experience the gaming environment by viewing it on the screen, you are directly placed in the environment!
The major players in this field are Facebook’s Oculus Rift, Sony’s PlayStation VR (PSVR), and the HTC Vive.
The VR technology is not only used for entertainment, but it is also used by the U.S. Navy and Coast Guard for training staff. They use a VR game called VirtualShip. AR and VR are used by doctors while performing surgery. Visitors in an amusement park or a museum can also use the technology to enhance their experience.
The VR industry is expected to reach close to $40 billion by 2021. Here are some VR job positions you can look out for:
Content Producer AR and VR ContentWriters
Product Management Software Engineer
UI and UX Design Quality Assurance
Edge computing is the latest technology trend that is getting famous by the day. The technology is based on the philosophy of bringing computing power as close to the data source. This helps in reducing bandwidth and latency.
The technology aims to run fewer processes in the cloud and shifting those processes to locations such as the user’s system or an edge server. Bridging this gap between the data and the computation reduces the long-distance communication between the server and the client, which in turn enhances the speed of the process. This is why edge computing is used for handling time-sensitive data stored in remote locations that have limited connectivity to the central location. The technology will make cloud computing and IoT devices faster.
It is estimated that by 2022, the edge computing market will be worth $7 billion. The technology will be popular in areas such as healthcare, retail, and manufacturing. Thus, it will open the doors to many job opportunities. It is expected that the salary range of an Edge computing professional will be around $100,400 to $123,000 per annum
Big Data Analytics has been there in the market for quite some time now. More and more businesses are adopting it to go beyond the traditional ways of data storage and processing.
New trends such as X-Analytics are being used to find solutions to challenges, including climate change, disease prevention and wildlife protection.
Big Data also gives us interesting trends like Decision Intelligence which provides a framework to help data engineers to design, model, execute and monitor decision models and processes in the context of business outcomes and behaviour. In fact, by 2023, more than 33% of large organizations will have analysts practising decision intelligence.
Companies investing in Big Data Analytics: Amazon, Netflix, Starbucks, Spotify, Google, Adobe
Machine Learning
Machine learning is a subfield of artificial intelligence that involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. These algorithms and models are designed to learn from data and make predictions or decisions without explicit instructions. There are several types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, while unsupervised learning involves training a model on unlabeled data. Reinforcement learning involves training a model through trial and error. Machine learning is used in a wide variety of applications, including image and speech recognition, natural language processing, and recommender systems.
Learning this latest technology will help you find jobs such as:
Machine Learning Engineer
Devops
DevOps serves as a vital connector, bridging the gaps between human silos within organizations while a DevOps platform unifies disparate tools. Many teams begin their DevOps journey with a fragmented collection of tools, each requiring ongoing maintenance and often lacking the ability to integrate seamlessly. A robust DevOps platform consolidates these tools into a single application, promoting collaboration, enhancing visibility, and accelerating development velocity. In today’s fast-paced environment, a true DevOps platform exemplifies how modern software should be created, secured, released, and monitored in a repeatable manner. This integrated approach empowers teams to iterate swiftly and innovate collectively, allowing every member to contribute meaningfully to the process. For organizations grappling with the complexities of contemporary software development, leveraging a DevOps platform is essential to unlocking the full potential of DevOps.
As enterprises increasingly adopt DevOps to streamline their software development processes and maintain a competitive edge, the demand for skilled professionals who can adapt this framework to meet specific organizational needs is on the rise. Many IT professionals are now transitioning into DevOps roles, recognizing it as one of the most sought-after and rewarding career paths in the industry. The growing importance of DevOps in application delivery positions these professionals at the forefront of a transformative movement within the tech landscape.
Future scope of DevOps is bright which will create opportunities for the following career roles:
DevOps Engineer Automation Engineer
Operations Engineer