Identify features of common AI workloads

Question 1

What is AI?

Answer 1

AI is software that imitates human behaviors and capabilities.

Question 2

Machine Learning

Answer 2

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

So how do machines learn?
Data scientists can use all of that data to train machine learning models that can make predictions and inferences based on the relationships they find in the data.

Microsoft Azure provides the “Azure Machine Learning” service - a cloud-based platform for creating, managing, and publishing machine learning models.

Azure Machine Learning Studio offers multiple authoring experiences such as: Automated machine learning, Azure Machine Learning designer, Data metric visualization, Notebooks.

Question 3

Computer Vision

Answer 3

Computer Vision is an area of AI that deals with visual processing.

The Seeing AI is an app, designed for the blind and low vision community, that describes nearby people, text and objects.

Most computer vision solutions are based on machine learning models that can be applied to visual input from cameras, videos, or images.

-Image classification -Object detection
-Semantic segmentation -Image analysis
-Face detection, analysis, and recognition
-Optical character recognition (OCR)

You can use Microsoft’s “Azure AI Vision” to develop computer vision solutions. The service features are available for use and testing in the Azure Vision Studio.

Question 4

Natural Language Processing

Answer 4

Natural language processing (NLP) is the area of AI that deals with creating software that understands written and spoken language.

-Microsoft’s Azure AI Language can include understanding and analyzing text, training conversational language models. (Azure Language Studio)

-Microsoft’s Azure AI Speech is service that can do speech recognition and synthesis, real-time translations, conversation transcriptions, and more. (Azure Speech Studio)

Question 5

Document Intelligence

Answer 5

Document Intelligence is the area of AI that deals with managing, processing, and using high volumes of a variety of data found in forms and documents.

-Enables you to create software that can automate processing for contracts, health documents, financial forms and more.

-Azure AI Document Intelligence builds solutions that manage and accelerate data collection from scanned documents. (Document Intelligence Studio)

Question 6

Mining

Answer 6

Knowledge mining is the term used to describe solutions that involve extracting information from large volumes of often unstructured data to create a searchable knowledge store.

Azure AI Search is a private, enterprise, search solution that has tools for building indexes. The indexes can then be used for internal only use, or to enable searchable content on public facing internet assets.

Question 7

Generative AI

Answer 7

Generative AI describes a category of capabilities within AI that create original content. Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio.

Azure OpenAI Service is Microsoft’s cloud solution for deploying, customizing, and hosting generative AI models. (Azure OpenAI Studio)

Question 8

Responsible AI

Answer 8

Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security.

These principles are essential to creating responsible and trustworthy AI as it moves into mainstream products and services.

-They’re guided by two perspectives: ethical (1-3) and explainable (4-6).