BRINGING AI TO ALL DEVELOPERS

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Sydney Walsh
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Walker Principal Software Engineer Microsoft

1 BRINGING AI TO ALL DEVELOPERS Exploring Deep Learning AI Services in the Cloud Tara E. Walker Principal Software Engineer #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

2 AGENDA WHAT DOES AI MEAN AND WHAT S WITH ALL THE DIFFERENT TERMS? Artificial Intelligence Machine Learning Deep Learning INTRODUCING AI CLOUD SERVICES Microsoft AI Other AI Cloud Services LET S GET INTO THE CODE SUMMARY #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

3 WHAT DOES AI MEAN AND WHAT S WITH ALL THE DIFFERENT TERMS? #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

4 ARTIFICIAL INTELLIGENCE (AI) IS Human-like Decision Making or Intelligence Displayed by Machines Generally used today to refer to any machine based learning program that uses data (big data) for advanced/predictive analytics. Not A New Concept: Turing test (from Alan Turing s paper) evaluates a machine s ability to exhibit intelligence indistinguishable from a human being 2 TYPES OF AI General AI: Machines that has human characteristics of intelligence like our senses, our reason, and can think like we do. Narrow AI: Technologies that perform specific tasks as well as a human Ex. Conversational AI #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

5 #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM MACHINE LEARNING IS A Way to Achieve Artificial Intelligence Practice of using algorithms to parse and learn from data. Using produced data/data models for predictive apps & solutions. Enables AI by using prediction of right action using extrapolation learned from mathematical data model 3 TYPES OF MACHINE LEARNING Supervised: User trains program to give answer based on known data set Unsupervised: Algorithms generate answers based on unknown data set Semi-supervised: Combines supervised and unsupervised learning approaches

6 DEEP LEARNING IS A Method for Implementing Machine Learning Algorithmic technique of implementing machine learning based on representation learning theory using neural networks Produces results more quickly than standard machine learning NEURAL NETWORKS Layers: Many layers of data models, where each layer takes input from previous layer, processes it, and outputs it to next layer Interconnected nodes: With an activation function. Finds patterns that are sent to network via the input layer, which communicates to one or more hidden layers. Actual processing is done on hidden layer via system of weighted connections Deep learning data models created by hierarchical learning process of data represented as high-level, complex abstractions #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

7 #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM AI, Machine Learning and Deep Learning

8 INTRODUCING AI CLOUD SERVICES Microsoft AI #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

9 THE MICROSOFT AI PLATFORM Cloud-Powered AI for Every Developer Services Tools Infrastructure

10 AZURE AI SERVICES Bot Service Cognitive Services Azure Machine Learning

THE MICROSOFT AI PLATFORM Bot Framework Bot Builder SDK Azure Bot Service Channels Build and connect intelligent bots Powerful, easy-to-use framework Start quickly with samples and templates Open

11 THE MICROSOFT AI PLATFORM Bot Framework Bot Builder SDK Azure Bot Service Channels Build and connect intelligent bots Powerful, easy-to-use framework Start quickly with samples and templates Open source on GitHub Accelerated development Give your bot intelligence with Cognitive Services Engage your audience, wherever they are Connect your bot to Teams, Skype, Cortana, or other channels Configure channels via Azure Bot Service User discovery of bots

12 THE MICROSOFT AI PLATFORM Microsoft Cognitive Services

13 THE MICROSOFT AI PLATFORM Microsoft Cognitive Services

14 THE MICROSOFT AI PLATFORM Microsoft Cognitive Services Custom Vision Service Custom Speech Service Language Understanding Custom Decision Service Bing Custom Search

15 AI INFRASTRUCTURE AI on data Built-in AI across your data estate. AI compute Flexible compute infrastructure from virtually infinite cloud scale to the edge. AI core infrastructure The AI supercomputer: CPU, GPU, and (coming next) FPGA.

16 TOOLS Visual Studio Tools for AI Azure Machine Learning Service (preview) Azure Machine Learning Studio Open deep learning framework support

Deploy & Manage Experimentation Boost productivity with Spark, GPUs and

17 THE MICROSOFT AI PLATFORM Azure Machine Learning Productive, Scale-out, Full-lifecycle AI Development ML Service Wrangle Data, Build models, Deploy & Manage Experimentation Boost productivity with Spark, GPUs and agile development. Model Management Deploy, Version, Manage & Monitor Models

18 Deep Neural Networks, Big Data, Open Build on any ML framework or library Distributed learning with Apache Spark Scale out GPU Training in the Cloud

19 Microsoft Machine Learning Server Linux and Windows Servers Virtual Machines SQL Server Virtual Machines Big Data R Server for HDInsight Azure SQL DB (Preview) Azure ML Vienna (Preview) Azure Data Lake (Preview) Our data science tool that allows you to do high performance analytics on production data, running locally on your computer Big Data Machine Learning Server for Hadoop In-Database SQL Server Linux and Windows Servers ML Server for Linux and Windows Appliances Azure Stack (Preview)

20 INTRODUCING AI CLOUD SERVICES Other Cloud AI #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

21 Amazon AI Intelligent Services Powered By Deep Learning

23 GOT IT? GREAT! DEMO Now Let s Dig Into CODE FOR AI SERVICES #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

24 #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM SUMMARY

25 THE MICROSOFT AI PLATFORM Azure Bot Service + Cognitive Services

26 THE MICROSOFT AI PLATFORM Machine Learning Cloud Services

27 #ITDEVCONNECTIONS ITDEVCONNECTIONS.COM

WiFi MSFTGUEST msevent439sh

http://aka.ms/aicommunity #Azure #MicrosoftAIJourney Robin.Lester@Microsoft.com WiFi MSFTGUEST msevent439sh 21 st September, 2018 16 th October, 2018 25 th October 2018 6 th November, 2018 7 th November,