Breaking down the Microsoft AI Platform
- 1. Classified as Microsoft General
- 2. 1. Microsoft AI and DS Platform Vision. 2. The Team Data Science Process 3. Data Scientists and AI Developers 4. The Microsoft AI and DS Platform 1. Machine Learning Services 2. Cognitive Services 3. Bot Framework 4. Azure Search 5. Data Science Virtual Machine Agenda
- 4. Microsoft AI and Data Science is a Process and a Platform to perform advanced analytics from start to finish
- 6. The types of Advanced Analytics Source: Gartner (October 2014)
- 8. The Team Data Science Process • Define Objectives • Identify Data SourcesBusiness Understanding • Ingest Data • Explore Data • Update Data Data Acquisition and Understanding • Feature Selection • Create and Train ModelModeling • OperationalizeDeployment • Testing and Validation • Handoff • Re-train and re-score Customer Acceptance
- 9. Data Scientist and AI Developer differences
- 11. Core Technologies Azure Machine Learning Services Cognitive Services Bot Framework Azure Search Data Science Virtual Machine
- 12. Build as you like VISUAL DRAG-AND-DROP CODE-FIRST
- 13. Microsoft Cognitive Services Take advantage of the world’s premier AI technologies
- 14. Build once, publish across platforms and drive discoverability Open source SDKs make it possible to bring your bot to life in minutes Connect your bot to any or all of the top conversational experiences to reach >1B users Make your bot discoverable via Bing, Cortana and other Microsoft surfaces
- 15. Azure Search Simplify search-index management Set up and scale out easily Integrate data seamlessly Powerful, guaranteed performance Sophisticated search Connects business goals to the application Fast time to market Backed by Microsoft Azure
- 17. © 2018 Microsoft Corporation. All rights reserved. Try out labs on all of these technologies at https://azure.github.io/LearnAI-Bootcamp/
- 18. Supporting Technologies Cortana Power BI Azure Analysis Services Stream Analytics HDInsight Data Lake Analytics Cosmos DB SQL Data Warehouse. Data Lake Event Hubs Data Factory Data Catalog Microsoft Azure
- 20. The Microsoft AI & Data Science Platform Azure Machine Learning Services Cognitive Services Bot Framework Azure Search Data Science Virtual Machine
- 21. The Team Data Science Process • Define Objectives • Identify Data SourcesBusiness Understanding • Ingest Data • Explore Data • Update Data Data Acquisition and Understanding • Feature Selection • Create and Train ModelModeling • OperationalizeDeployment • Testing and Validation • Handoff • Re-train and re-score Customer Acceptance
- 22. Data Scientists and AI Developers
- 23. Classified as Microsoft General Information in this document, including URL and other Internet Web site references, is subject to change without notice. Unless otherwise noted, the companies, organizations, products, domain names, e-mail addresses, logos, people, places, and events depicted herein are fictitious, and no association with any real company, organization, product, domain name, e-mail address, logo, person, place, or event is intended or should be inferred. Complying with all applicable copyright laws is the responsibility of the user. Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation. For more information, see Microsoft Copyright Permissions at http://www.microsoft.com/permission Microsoft may have patents, patent applications, trademarks, copyrights, or other intellectual property rights covering subject matter in this document. Except as expressly provided in any written license agreement from Microsoft, the furnishing of this document does not give you any license to these patents, trademarks, copyrights, or other intellectual property. The Microsoft company name and Microsoft products mentioned herein may be either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners. This document reflects current views and assumptions as of the date of development and is subject to change. Actual and future results and trends may differ materially from any forward-looking statements. Microsoft assumes no responsibility for errors or omissions in the materials. THIS DOCUMENT IS FOR INFORMATIONAL AND TRAINING PURPOSES ONLY AND IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, WHETHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT.