Data Science & Analytics Talk @ ExxonMobil
0 likes64 views
This document provides an overview of Azure Cognitive Services and discusses its adoption in business. It begins with an agenda that outlines an overview of Microsoft AI, success story scenarios, challenges in data science adoption, and a technical demo of Azure Cognitive Services. It then discusses Microsoft AI momentum and innovations, such as reasoning, understanding, interacting, vision, speech, and language capabilities. Success stories are presented, such as how Schneider Electric uses Azure services for weather impact predictions. The document concludes with a discussion on how to get started with machine learning.
Data Science & Analytics Talk @ ExxonMobil
- 1. Azure Cognitive Service Adoption in Business 26 October 2020 Korkrid Akepanidtaworn Global Cloud Solution Architect (Data Platform & AI) GSMO Digital Transformation Partnerships Team koakepan@microsoft.com
- 2. AGENDA Overview of Microsoft AI Success stories scenarios Challenges in data science adoption (FAQs) Technical demo: Azure Cognitive Services How to get started in machine learning?
- 3. Overview of Microsoft AI Microsoft AI momentum and innovations
- 4. Reasoning Understanding Interacting Vision Speech Language
- 6. Web Search Language Vision Decision Speech Bing Autosuggest Bing Web Search Bing Entity Search Bing Custom Search Content Moderator Anomaly Detector Personalizer Language Understanding Text Analytics Bing Spell Check Translator Text QnA Maker Speaker Recognition Speech Computer Vision Face Video Indexer Custom Vision Form Recognizer Ink Recognizer Container Support Customizable Immersive Reader
- 8. Fueled by breakthrough research 2016 Object recognition human parity 2017 Speech recognition human parity 2018 Reading comprehension human parity 2018 Machine translation human parity 2018 Speech synthesis near-human parity 2019 General Language Understanding human parity 2020 Document summary at human parity
- 9. 1.8M Hours of meetings transcribed in real-time 1B PowerPoint Designer slides used Tested at scale in Microsoft solutions 80M Personalized experiences delivered daily Machine translation human parity Object detection human parity Switchboard Switchboard cellular Meeting speech IBM Switchboard Broadcast speech Speech recognition human parity Conversational Q&A human parity First FPGA deployed in a datacenter
- 10. AI in Teams Mobile Companion Mode Inline Message Translation Meeting Recording Transcription Background Blur
- 11. Data Scientists Analysts End users Sentiment Analysis Key Phrase Extraction Create ML models Explore predictions Python Integration R Integration Extend with Azure ML Integrate into reports AI Visualizations Natural Language
- 12. Power Platform Power BI Power Apps Power Automate Power Virtual Agents Developers and Data Scientists Citizen Developers Azure Azure AI ML platform Customizable models Vision, Speech, Language, Decision Scenario-specific services Cognitive Services Azure Machine Learning Cognitive Search Bot Service Form Recognizer Video Indexer
- 13. Demo: Azure Cognitive Services
- 15. Situation: Solution: Impact: —Matthieu Boujonnier, Analytics Application Architect and Data Scientist, Schneider Electric Customer: Schneider Electric Industry: Power and Utilities Size: 137,000 employees Country: France Products and services: Microsoft Azure Azure Databricks Azure IoT Edge Azure Machine Learning service
- 16. Products and Services Organization Size Industry Country Businesses predict weather impact using cloud-based machine learning Nearly two billion people worldwide rely on AccuWeather forecasts to help them plan their day, protect their assets, and stay safe. AccuWeather has been analyzing and predicting the weather for more than 55 years. Today it uses Microsoft Azure Machine Learning services to create custom weather-impact predictions for business customers and transform its own business faster. The company’s D3 Data-Driven Decisions service provides automated weather analytics to businesses eager to outwit Mother Nature. United States 550 employees Azure API Management Azure App Service Azure Blob storage Azure Data Factory Azure Machine Learning Azure SQL Database Partner Professional Services
- 18. How to get started with machine learning?
- 19. In partnership with Visitors 250K Countries 182 Engagement 670% Avg Rating 4.8/5.0 aka.ms/aibs
- 20. Thank you