AWS re:Invent 2019

Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2019 keynote, featuring the latest news and announcements, including the launches of M6g, R6g, C6g instances, Inf1 instances, Amazon EKS for AWS Fargate , Amazon S3 Access Points, Amazon Redshift RA3 instances, AQUA (Advanced Query Accelerator) for Amazon Redshift, UltraWarm for Amazon Elasticsearch Service, Amazon Managed Apache Cassandra Service, Amazon SageMaker Studio, Amazon SageMaker Notebooks, Amazon SageMaker Experiments, Amazon SageMaker Debugger, Amazon SageMaker Model Monitor, Amazon SageMaker Autopilot, Amazon Fraud Detector, Amazon CodeGuru, Contact Lens for Amazon Connect, Amazon Kendra, the general availability of AWS Outposts, AWS Local Zones, and AWS Wavelength. Guest speakers include Dr. Matt Wood, of AWS; David Solomon, of Goldman Sachs; Brent Shafer, of Cerner, and Hans Vestberg, of Verizon. Launch Announcements:00:19:50 M6g, R6g, C6g EC2 instances00:23:00 Inf1 EC2 instances00:27:50 Amazon EKS on AWS Fargate00:56:50 Amazon S3 Access Points01:03:30 Amazon Redshift RA3 instances01:06:45 AQUA (Advanced Query Accelerator) for Amazon Redshift01:11:05 UltraWarm for Amazon Elasticsearch Service01:16:50 Amazon Managed Apache Cassandra Service01:36:00 Amazon SageMaker Studio01:37:20 Amazon SageMaker Notebooks01:38:30 Amazon SageMaker Experiments01:40:10 Amazon SageMaker Debugger01:42:55 Amazon SageMaker Model Monitor01:45:40 Amazon SageMaker Autopilot01:55:20 Amazon Fraud Detector01:58:40 Amazon CodeGuru02:05:55 Contact Lens for Amazon Connect02:09:15 Amazon Kendra02:16:30 General availability of AWS Outposts02:23:20 AWS Local Zones02:31:55 AWS Wavelength Guest speakers include:01:48:00 Dr. Matt Wood, of AWS00:30:40 David Solomon, of Goldman Sachs01:21:35 Brent Shafer, of Cerner02:26:20 Hans Vestberg, of VerizonLearn more about AWS at - https://amzn.to/2OPqk0FNote: Amazon EKS for AWS Fargate is the proper term @ 00:27:58Awaken Your DataPower your workloads on AWS with the latest 2nd Gen Intel Xeon Scalable processors featuring built-in AI acceleration. On-demand viewing of the Keynote sponsored by Intel. Visit: https://youtu.be/MIv32gcwOQM

Werner Vogels, CTO of Amazon.com, delivers his AWS re:Invent 2019 keynote. Watch as pulls back the covers to talk about the innovations behind AWS Nitro, Firecracker, AWS Fargate, Amazon EBS and more. This year's featured guests include Clare Liguori, Principal Software Engineer at AWS - who goes deep on AWS Fargate and how we've built this to give customers a truly unique customer experience – as well as Jeff Dowds, IT Executive at Vanguard, Sebastien de Halleux, COO of Saildrone and Dr. Martin Hofmann, Group CIO of Volkswagen automotive group.In this keynote you'll also hear more about the launch of the Amazon Builders' Library: https://aws.amazon.com/builders-library/And Werner's video series, 'Now Go Build': https://aws.amazon.com/startups/NowGoBuild/01:10:26 A special thanks for the satellite imagery provided by AWS customer Maxar: https://bit.ly/33VJG8i

Watch the Global Partner Keynote with Doug Yeum, Head of Worldwide Channels & Alliances, AWS. Featured Guests: - Andy Jassy, CEO, AWS, Stewart Fry, Vice President, CIO Global Enterprise Systems, BP, Chris Cerruto, Vice President, Global Architecture and Analytics & BI, Avis Budget Group, Dave McCann, VP, Migration, Marketplace & Control Services, and Sandy Carter, Vice President, Worldwide Public Sector Partners & Programs, AWS.

Watch Peter DeSantis, VP, AWS Global Infrastructure and Customer Support, deliver the Monday Night Live keynote, featuring Cris Collinsworth from PFF, Rob Smedley with Formula 1 and Daphne Koller, from Insitro. Learn more about re:Invent at - https://amzn.to/2DJJHmz.00:00:53 Cris Collinsworth from PFF00:32:48 Rob Smedley with Formula 1 01:03:24 Daphne Koller, from Insitro

Typical approaches to automatic ML don't provide insights into the data or logic used to create models, forcing you to compromise on accuracy. Join us as we introduce Amazon SageMaker Autopilot, an automated capability that generates ML models and provides complete control and visibility of them. Learn how Autopilot automatically inspects raw data, picks the best set of algorithms, trains multiple models, tunes them, and ranks them based on performance. The result is a recommendation for the best performing model and visibility into the logic and code for how the model was created and what's in it. Autopilot offers the best combination of automatic model creation with control and visibility.

Machine learning (ML) is a complex, iterative, often time-consuming process. One difficult aspect is the lack of integration between the workflow steps and the tools to accomplish them. Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale. It pulls together the ML workflow steps in a unified, visual interface-since they're performed and tracked within one environment, the non-linear and iterative nature of ML development is greatly simplified. You can quickly move between steps, compare results and adjust inputs and parameters, and iterate faster with Amazon SageMaker Studio.

Amazon Redshift continues to change the scale and economics of data warehousing. Learn more about announcements from the keynote and how they enable you to scale cost-effectively across diverse data warehouse workloads. We break down the benefits of the new Amazon Redshift RA3 instances and share real-world examples from the preview. You see how the new console and innovations like Amazon Redshift Federated Query and Data Lake Export enable you to bring together all your data, and you learn more about AQUA (Advanced Query Accelerator) for Amazon Redshift.

The transition from on premises to the cloud, centralized to microservices-based architectures, and IT to DevOps has resulted in three trends: an exponential growth in machine-generated data, the increasing need for near real-time monitoring and interactive analytics of that data, and democratized access to that data to derive actionable insights by anyone, anywhere, and anytime in a secured manner. In this talk, we discuss how Amazon Elasticsearch Service provides a secure, scalable, and cost-effective log analytics solution.

Artificial intelligence (AI) is reshaping the Healthcare industry. In this session, learn how automatic speech recognition and natural language processing services can be used to build powerful solutions that revolutionize the way medical information is collected, analyzed, and consumed by various stakeholders across the Healthcare ecosystem. From clinical documentation workflow and pharmacovigilance to telemedicine and revenue cycle management, AI services are driving changes that not only enhance Healthcare professionals' efficiencies, but also improve the overall quality of patient care.

During ML model training, it's challenging to ensure that models are progressively learning the correct values for different parameters and to analyze and debug model characteristics without building additional tools, making the process time-consuming and cumbersome. Come learn about Amazon SageMaker Debugger, a new capability that provides complete insights into the training process by automating data capture and analysis from training runs without code changes. Learn how you can analyze data using the Amazon SageMaker Studio visual interface and be alerted when anomalies and errors are detected, reducing the time needed to debug models from days to minutes. Amazon SageMaker Debugger helps you solve problems quickly, reduce troubleshooting time during training, and build high-quality models.