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AZURE CHAT BOT
AZURE CHAT BOT
MISSION OF THE PROJECT
MISSION OF THE PROJECT
In my project,I create a informational bot that helps to find information about microsoft azure artifical intelligence to help the world fulfill their needs
IN ARTIFICAL INTELLIGENCE HAVE SIX TYPES
->MACHINE LEARNING -
->COMPUTER VISION
->NEURAL NETWORKS
->COGNITIVE COMPUTING
->NATURAL LANGUAGE PROCESSING
->DEEP LEARNING
AZURE APPLIED AI SERVICES
AZURE APPLIED AI SERVICES
Azure Applied AI Services are high-level services focused on empowering developers to quickly unlock the value of data by applying AI into their key business scenarios. Built on top of the AI APIs of Azure Cognitive Services, Azure Applied AI Services are optimized for critical tasks ranging from monitoring and diagnosing metric anomalies, mining knowledge from documents, enhancing the customer experience through transcription analysis, boosting literacy in the classroom, document understanding and more. Previously, companies would have to orchestrate multiple AI skills, add business logic, and create a UI to go from development to deployment for their scenario – all of which would consume time, expertise, and resources – these “scenario specific” services provide developers these benefits “out of the box”.
azure ai
azure ai
These services include: Azure cognitive services, including a variety services related to language and language processing (speech recognition, speech formation, translations), text recognition, and image and character recognition. The services can be used, for example, in various bot-based solutions.
BUSINESS LOGIC MODEL
BUSINESS LOGIC MODEL
AI MODEL
AI MODEL
Modernize your business processes faster with Azure Applied AI Services. Applied AI Services bring together Azure Cognitive Services, task-specific AI, and business logic to offer you turnkey AI services for common business processes.
Automate document processing, improve customer service, understand the root cause of anomalies, and extract insights from any content—all with Azure Applied AI services. Plus, extend Applied AI Services by using your own AI models from Azure Machine Learning.
Microsoft Azure
Microsoft Azure
security
scalability
worldwide acess
Microsoft AI
Microsoft AI
It was in 2017 when Microsoft featured the term “artificial intelligence” in the vision of the company for the very first time, highlighting the fact intelligent tools and applications are at the heart of its operations
On June 27, 2018, Microsoft launched Azure IoT Edge, used to run Azure services and artificial intelligence on IoT devices. On November 20, 2018, Microsoft launched the Open Enclave SDK for cross-platform systems such as ARM TrustZone and Intel SGX.
Operating system: Linux, Microsoft Windows, i...
John McCarthy, a professor emeritus of computer science at Stanford, the man who coined the term "artificial intelligence" and subsequently went on to define the field for more than five decades, died suddenly at his home in Stanford in the early morning Monday, Oct. 24. McCarthy was a giant in the field of computer science and a seminal figure in the field of artificial intelligence. While at Dartmouth in 1955, McCarthy authored a proposal for a two-month, 10-person summer research conference on "artificial intelligence" – the first use of the term in publication.
In proposing the conference, McCarthy wrote, "The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." The subsequent conference is considered a watershed moment in computer science.
In 1958, McCarthy invented the computer programming language LISP, the second oldest programming language after FORTRAN. LISP is still used today and is the programming language of choice for artificial intelligence.
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FAQ
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