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Overview of Microsoft AI Platform: from Cognitive Services to Azure ML

Overview of Microsoft AI Platform: from Cognitive Services to Azure ML

Dmitri Soshnikov

November 01, 2021
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  1. Dmitry Soshnikov

  2. Innovation • Open AI, GPT-3 • Human Parity in Speech/Image/QnA

    Cloud for AI • Cognitive Services • Platform AI Services • Data Services Responsible AI • AI Ethics • Tools for Fairness and Interpretability
  3. arXiv:1610.05256 [cs.CL] arXiv:2009.13682v1 [cs.CV] DOI: 10.1109/ICCV.2015.123 arXiv:1803.05567 [cs.CL]

  4. AI Business School https://aka.ms/ailearn/businessschool In partnership with

  5. None
  6. Computer Vision Face API Text Analytics LUIS Custom Vision Lobe.ai

    Automatic ML Azure ML Designer
  7. AI / Machine Learning on Azure Domain specific pretrained models

    To reduce time to market Azure Databricks Machine Learning VMs Popular frameworks To build advanced deep learning solutions TensorFlow Pytorch Onnx Azure Machine Learning Language Speech … Search Vision Productive services To empower data science and development teams Powerful infrastructure To accelerate deep learning Scikit-Learn PyCharm Jupyter Familiar Data Science tools To simplify model development Visual Studio Code Command line CPU GPU FPGA From the Intelligent Cloud to the Intelligent Edge
  8. Vision Face Custom Vision LUIS + Text QnA Maker Bot

    Framework
  9. a group of people sitting at a table a man

    in a suit and tie person, building, outdoor, man, cake, holding, carrying, standing, street, wearing, walking, young, food, woman, table, large, suit, city, people, riding table, indoor, person, sitting, child, food, group, eating, laptop, computer, woman, people, front, small, boy, young, little, cake, man, desk, baby, room, plate, white
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  12. Knowledge Extraction from Text arXiv:2110.15453 [cs.CL] http://eazify.net/paper_analysis

  13. Utterance Intent Greeting Weather Question Answer Hi, how are you?

    - I am doing great - I am fine, thanks What are you feeling? - I am a bot, I do not have feelings Create Responsible Bot to Help Students Learn https://aka.ms/ailearn/responsiblebots
  14. https://aka.ms/ailearn/vision https://aka.ms/ailearn/explorenlp https://aka.ms/ailearn/explorebots https://aka.ms/ailearn/text https://aka.ms/ailearn/speech https://aka.ms/ailearn/images https://aka.ms/ailearn/language https://aka.ms/ailearn/search https://aka.ms/ailearn/bots

  15. https://aka.ms/ailearn/dsvm Vision Face Custom Vision LUIS + Text QnA Maker

  16. None
  17. https://aka.ms/ailearn/dsvm Vision Face Custom Vision LUIS + Text QnA Maker

  18. https://aka.ms/ailearn/nocode https://aka.ms/ailearn/buildsolutions

  19. Train Model Split Score Evaluate

  20. http://aka.ms/azmlstudio

  21. None
  22. Some yummy goodness Text Analytics

  23. None
  24. Some yummy goodness

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  26. AVG LIKES BY MAIN CATEGORY

  27. 2. Regression Run the Experiment and Train the Model

  28. None
  29. Azure Machine Learning Workspace Dataset Datastore Compute Compute Cluster Experiments

    Notebooks Model Deployment Designer AutoML
  30. http://aka.ms/azml_gan http://aka.ms/creative_ai http://aka.ms/cognitive_portrait_exhibit http://aka.ms/deeppavlov

  31. FATE: Fairness, Accountability, Transparency, Ethical Fairness Accountability Transparency Ethical Is

    anyone treated differently? Is the training data representative/relevant? Are there systems in place to detect and address potential unfairness? Is there a mechanism to feedback/challenge results? Is there ultimately a human accountable? Is the AI behaviour verifiable (in the real world)? Is it clear an AI is being used? Is the AI clear, understandable and well-described? Are inadequacies/limitations clearly shared? Does it comply with privacy laws and contain appropriate use controls? What are the societal implications (think suffering, autonomy, equality)? Are there protections against unintended behaviour? Is there human monitoring? If lives are impacted, it’s important people understand how the decision was made
  32. https://aka.ms/ailearn/exploredata https://aka.ms/ailearn/relational https://aka.ms/ailearn/nosql https://aka.ms/ailearn/analytics https://aka.ms/ailearn/getstarted https://aka.ms/ailearn/nocode https://aka.ms/ailearn/vision https://aka.ms/ailearn/explorenlp https://aka.ms/ailearn/explorebots

  33. https://aka.ms/ailearn/createmodels https://aka.ms/ailearn/nocode https://aka.ms/ailearn/buildsolutions https://aka.ms/ailearn/text https://aka.ms/ailearn/speech https://aka.ms/ailearn/images https://aka.ms/ailearn/language https://aka.ms/ailearn/search https://aka.ms/ailearn/bots https://aka.ms/ailearn/dataeng

    https://aka.ms/ailearn/data https://aka.ms/ailearn/databricks https://aka.ms/ailearn/streaming https://aka.ms/ailearn/synapse
  34. ❶ ❷

  35. Dmitry Soshnikov Overview of Microsoft AI Platform from Cognitive Services

    to Azure ML http://azure-for-academics.github.io