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

Transcript

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
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
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
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
22. Some yummy goodness Text Analytics
24. Some yummy goodness
26. AVG LIKES BY MAIN CATEGORY
27. 2. Regression Run the Experiment and Train the Model
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
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35. Dmitry Soshnikov Overview of Microsoft AI Platform from Cognitive Services to Azure ML http://azure-for-academics.github.io