AIM203: Patient-Focused Data Science: Machine Learning for Complex Diseases

Amazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. Amazon Go, Amazon Alexa, and Amazon Prime Air are also examples. In this session, learn more about the latest machine learning services from AWS, and hear from customers who are partnering with AWS for innovative AI.

Curious about how Amazon machine learning (ML) services can enable healthcare organizations to find the insights they need to survive and thrive? Join us to learn how Takeda researchers built and trained their own disease-specific ML models, including deep-learning models using Deloitte ConvergeHEALTH running on AWS to simulate and quantify the overall disease burden and identify potential risks. This session is brought to you by AWS partner, Deloitte Consulting LLP.

Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more.

Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2018 keynote, featuring the latest AWS news and announcements. Learn more about AWS at - https://amzn.to/2RiLQte. Topics: 00:01:10 AWS business update 00:05:00 Cloud market share 00:22:00 Glacier Deep Archive 00:25:45 Amazon FSx 00:32:30 Dean Del Vecchio, Guardian - CIO 00:43:45 AWS Control Tower 00:47:00 AWS Security Hub 00:49:20 AWS Lake Formation 01:05:00 DynamoDB Read/Write Capacity On Demand 01:09:00 Amazon Timestream 01:16:20 Amazon Quantum Ledger Database 01:17:40 Amazon Managed Blockchain 01:30:00 Amazon Elastic Inference 01:34:00 AWS Inferentia 01:39:00 Ross Brawn Obe, Formula 1 - Managing Director 01:51:30 Amazon SageMaker Ground Truth 02:00:10 Amazon SageMaker RL 02:02:10 AWS DeepRacer 02:08:00 Dr Matt Wood, AWS - GM Deep Learning and AI 02:14:55 Amazon Textrack 02:18:30 Amazon Personalize 02:22:55 Amazon Forecast 02:28:30 Pat Gelsinger, VMware - CEO 02:33:50 AWS Outposts

Watch Werner Vogels deliver his AWS re:Invent 2018 keynote. Learn more about AWS at https://amzn.to/2FKc7zk. This year's keynote includes featured guests, Yuri Misnik, Executive General Manager, National Australia Bank (NAB), Ethan Kaplan, Chief Product Officer, Fender Musical Instruments, Mai Lan Tomsen Bukovec, AWS VP + General Manager of S3, and Holly Mesrobian, Director of Engineering, AWS Lambda. In the keynote, hear about new AWS launch announcements and get a preview of Werner's new video series, "Now Go Build" - https://youtu.be/a42kxHSX4Xw. Keynote speakers: 00:00:00 Dr Werner Vogels, Amazon CTO 00:32:30 Mai Lan Tomsen Bukovec, AWS VP + General Manager of S3 00:50:30 Ethan Kaplan, Chief Product Officer, Fender Musical Instruments 01:02:50 Holly Mesrobian, Director of Engineering, AWS Lambda. 01:33:10 Yuri Misnik, Executive General Manager, National Australia Bank (NAB) New AWS launch announcements: 01:15:20 AWS Tool Kits for popular IDEs 01:17:00 Custom Runtimes for Lambda 01:18:50 Lambda Layers 01:20:40 Nested Applications using Serverless Application Repository 01:23:10 Step Functions service integrations 01:24:25 WebSocket support for API Gateway 01:47:15 AWS Well - Architected Tool

Watch Peter DeSantis, VP, AWS Global Infrastructure and Customer Support, delivers the Monday Night Live keynote, featuring Chris Dyl, of Epic Games and Keith Bigelow, of GE Healthcare. Learn more at - https://amzn.to/2DJJHmz.

Watch the Global Partner Keynote featuring Terry Wise, Vice President of Global Alliances and Channels, AWS. Learn more about re:Invent 2018 at - https://amzn.to/2BCsNF6. Featured Guests: - Pebbles Sy-Manalang, CIO, Globe Telecom - Ramin Sayar, President & CEO, Sumo Logic - Brad Jackson, CEO, Slalom - Bernd Heinemann, Board Member, Allianz Germany

In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack.

In this session, hear from an AWS customer about how they leveraged Amazon Rekognition deep learning-based image and video analysis to power a data-driven decision system for creative asset production. Learn how this customer was able to leverage the raw data provided by Amazon Rekognition combined with performance data to discover actionable insights. See a demonstration of the solution, and hear about media- and advertising-specific use cases. Learn from the customer's experiences implementing their architecture, the challenges, and the pleasant surprises along the way.

Amazon Mechanical Turk operates a marketplace for crowdsourcing, and developers can build human intelligence directly into their applications through a simple API. With access to a diverse, on-demand workforce, companies can leverage the power of the crowd for a range of tasks, from ML training and automating manual tasks to generating human insights. In this session, we cover key concepts for Mechanical Turk, and we share best practices for how to integrate and scale your crowdsourced application. By the end of this session, expect to have a general understanding of Mechanical Turk and know how to get started harnessing the power of the crowd.