Implementing AI solutions using the cognitive services in Azure Vitor Fava Implementing AI solutions using the cognitive services in Azure

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Agenda What is Artificial Intelligence (AI) ? What are the technologies behind AI? How can AI be used in our daily lives?

Vitor Fava MVP Data Platform SQL Server Database Consultant at Pythian Module 0: Introduction Course ####y Vitor Fava MVP Data Platform SQL Server Database Consultant at Pythian Pass Chapter Leader at SQLManiacs vitortff@gmail.com http://vfava.wordpress.com http://www.youtube.com/vitortff https://groups.google.com/group/sqlmaniacs Welcome students to the course and introduce yourself. Provide a brief overview of your background to establish credibility. Ask students to introduce themselves and provide their backgrounds, product experience, and expectations of the course. Record student expectations on a whiteboard or flip chart that you can reference during class.

Artificial Intelligence - Expectations

Artificial Intelligence - Reality

What is Artificial Intelligence (AI) ? The theory has existed since 1956; Ability of making decisions as human beings; Computers still need three things to evolve from simple computation to a real AI;

What is Artificial Intelligence (AI) ? Good data models to sort, process and analyze the data intelligently; Access to large amounts of raw data; Processing power (GPU) with affordable cost;

What is Artificial Intelligence (AI) ?

What is Artificial Intelligence (AI) ?

What are the technologies behind AI? Machine Learning; Deep Learning; Natural language processing (NLP);

Machine Learning Involves computers using data to learn with minimal programming; Allow the machine to learn rules on its own from the data fed, such as personalized recommendations on Netflix and Amazon; Machine learning is the main driver of artificial intelligence;

Deep Learning Part of machine learning that uses complex algorithms; Imitate the neural network of the human brain; Learning an area of ​​knowledge with little or no supervision;

Natural language processing (NLP) Uses machine learning to find patterns in large data sets and recognize natural language; Provides the ability to understand and compose texts; Recognize the context, make syntactic, semantic, lexical and morphological analysis, create summaries, extract information, interpret the meanings and analyze feelings;

How can AI be used in our daily lives? Applications such as Siri and Cortana use voice processing to act as a personal assistant; Facebook uses image recognition to recommend tagging in photos; Amazon makes personalized recommendation of products using machine learning algorithms;

Automatic Tuning Uses AI to continuously monitor queries executed in a database and automatically improves performance; Learn horizontally with all Azure databases and dynamically improve your actions;

Automatic Tuning

Microsoft Cognitive Services Vision; Knowledge; Language;

Microsoft Cognitive Services Speech; Search;

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