Vinnie Saini Cloud Solution Architect Big Data & AI

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Transcription:

Vinnie Saini Cloud Solution Architect Big Data & AI vasaini@microsoft.com

data intelligence cloud

Data + Intelligence + Cloud

Extensible Applications Easy to consume Artificial Intelligence Most comprehensive Data Science capabilities Best of MS Research & open source Rich data sources to enrich predictions Flexible Infrastructure support for analytics

Productivity Flexibility

Productivity Flexibility

Image Moderation moderate images for adult and racy content Implement optical character recognition (OCR) and face detection. Creating and managing your custom lists Text Moderation Moderate text for profanity in more than 100 languages Auto-Correction Creating and managing your custom lists of terms Video Moderation Powered by the adult content classifier running within the Azure Media Services Currently in private preview and available at no charge Create a Media Services account on the Azure portal. Contact us with your Azure Subscription ID for enabling the Content Moderator in your region

Image Moderation Image Moderation

Structured Implementation Supports parallelization across both multiple machines and multiple GPUs(without regard to where GPUs are located) Memory Reuse 4 times better in speed over other similar libraries like Tensorflow Enables creation of existing & novel models by combining simple functions

Production Ready: State-of-the-art accuracy, efficient and scales to multi-gpu/multi-server CNTK as a library C++, Python and.net bindings Allows creation of new nodes as well as new network types Supporting the latest versions of GPU architectures such as NVIDIA Volta, leveraging multiple GPUs for Advanced Optimization Full support for Keras, a user-friendly open-source neural network library that is popular with developers working on deep learning applications Includes Java language bindings (in addition to C# and Python) as well as a set of new tools that enable the 2.0 optimization of models to run on smartphones and IOT devices. Block wise Model Update Filtering (BMUF) Supports feed-forward, convolutional, recurrent networks, and reinforcement learning for speech, vision, and text data, also in combination Set up on your machine Using CNTK with Keras

Microsoft s open-source deep-learning toolkit Modularized with a separation of: computational networks execution engine learning algorithms model description data readers Easily Extensible

Cognitive Services

Why Microsoft AI Platform for the Enterprise Leading Innovation Unparalleled Productivity Trusted Partner Transform your data into intelligent action For everyone With more than 25 years of experience in AI research with focus on product development, we ve produced recordbreaking advances in AI algorithms that we offer to our customers and partners in a platformbased approach. Microsoft offers a unique combination of a productive and powerful platform that empowers any organization and developer to embrace AI everywhere. Keep your data safe on a trusted and secure cloud platform with encrypted communications, threat management, mitigation practices and regular penetration testing. Ensure infrastructure compliance with your industry through our broad set of compliance standards. By leveraging Cortana Intelligence Suite, Microsoft Cognitive Services, Microsoft Bot Framework and Cortana organizations can interact with customers and stakeholders in new ways and infer intent with vision, face, speech, text and sentiment analysis to customize responses and drive appropriate actions. Microsoft is democratizing its AI innovations used in products like Bing, Xbox, and Office Graph, via the Bot Framework, Azure Bot services and Cognitive Services APIs, so you can bring your applications to life, from understanding natural language and speech, to facial recognition. With these tools at your fingertips, you can build intelligent, personal bots that will transform your business.

Why Microsoft AI Platform for Developers Easy to implement Flexible Tested, powerful and award winning Multi-channel Cortana The Cognitive Services APIs are easy to implement because they are based on simple REST calls. Our new QnA Maker Service is a free, easy-touse service that trains AI to respond to users questions in a more natural an conversational way using semistructured data like the those found in website FAQs. We ve got a breadth of intelligence and knowledge APIs so developers will be able to find what intelligence feature they need; and importantly, they all work on whatever language, framework, or platform developers choose. So, devs can integrated into their apps ios, Android, Windows using their own tools they know and love (such as python or node.js, etc.). Developers can trust the quality and expertise build into each API by experts in their field from Microsoft s Research organization, Bing, and Azure machine learning and these capabilities are used across many Microsoft first party products such as Cortana, Bing and Skype. Your users talk in many places; your bot should too. The Bot Connector will have your bot talking in full fidelity on the most popular conversation experiences without coding (e.g. Skype, FB Messenger, Office 365 Mail, SMS, Kik, Slack, Telegram, GroupMe, ). You can also bring the conversation to your app or website using our Direct Line customizable Web Chat control or roll with your own. Cortana connects users to your services, across platforms and devices. By registering your bots, services, mobile apps, and websites as Cortana skills, over 145 million active monthly users will be connected to these capabilities.

Why Microsoft for Advanced Analytics End-to-End Solution Easy to use Broad and skilled community available in the marketplace AI driven innovation R support and performance Works with what you have Big Data made easy Microsoft brings advanced analytics to wherever your data lives. From ingestion of data to analytics and visualization, Cortana Intelligence Suite offers an endto-end solution for Advanced Analytics. Microsoft has analytics tools for everyone: business users, data scientists, IT, and developers. Microsoft s tools are easy to use with capabilities ranging from simple statistics to advanced artificial intelligence and machine learning. Microsoft has a strong community of partners, resellers and individuals. This community extends the product with prebuilt apps, visualizations and video tutorials, in addition to the content provided directly by Microsoft. Microsoft is democratizing its AI innovations used in products like Bing, Xbox, Kinect and Office Graph, via cognitive services so you can bring your applications to life, from understanding natural language and speech, to facial recognition. With these tools at your fingertips, you can build intelligent applications, services and bots that will transform your business. Microsoft allows you to use popular open source languages like R, with enterprise level support, whether your data is on-prem, in the cloud, or both. The integration with SQL Server allows you to leverage your existing infrastructure with the power of Azure in a powerful Hybrid model. Extend your database to Azure when you need it and run analytics directly from SQL Server with the power of HD Insight. Make the most of your existing investments, preferred tools and data assets. Whether you re taking advantage of integration with SQL Server, or looking to maximize value of your data across other investments like Hadoop/Spark, Teradata, Windows or Linux, Microsoft can help you analyse your data at scale with greater confidence, both today and in the future. Microsoft supports Big Data analytics in the cloud. Azure Data Lake is the solution for your Big Data Storage and Analytics. Easily store data in any format with any file size and run your analytics with the power of HD Insight.

Vision

Speech Vision

Speech Vision QnA Maker Distill information into conversational, easy-to-navigate answers

Speech Vision

Microsoft s new speech breakthrough Microsoft 2016 research system for conversational speech recognition 6.2% word-error rate all experiments were run on CNTK [W. Xiong, J. Droppo, X. Huang, F. Seide, M. Seltzer, A. Stolcke, D. Yu, G. Zweig: The Microsoft 2016 Conversational Speech Recognition System, http://arxiv.org/abs/1609.03528]

https://github.com/microsoft/cntk https://azure.microsoft.com/enus/services/cognitive-services/ https://www.microsoft.com/en-us/cognitivetoolkit/features/model-gallery/?filter=tutorial https://docs.microsoft.com/en-us/cognitivetoolkit/reasons-to-switch-from-tensorflow-to-cntk