AWS re:Invent 2019 Keynote – Amazon Goes All In with Machine Learning

My second AWS re:Invent conference this year. Here’s a recap of the Tuesday morning keynote. AWS CEO, Andy Jassy on stage.

Key announcements:

  • Low Latency, Higher throughput instances
  • Serverless Support for Kubernetes
  • Customer moving off mainframes, databases and Windows
  • Customers moving from Data Silos to Data Lakes and in need of Big Data Analytics
  • Accelerate Compute with caching, announcing Aqua to keep up with storage performance
  • #DBFreedom – Complete family of purpose-built databases
  • Complete platform for Machine Learning including SageMaker Studio, web-based IDE for ML
  • Amazon Kendra, ML search index for your enterprise connecting to your internal data sources on-prem.
  • GA of AWS Outpost for Native AWS services. VMware Cloud on AWS Outpost available in 2020.
  • Mobile Edge Comput with 5G announced with first telco provider, Verizon

 

AWS is the clear Cloud leader today.

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New ARM based instances announced.

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Low latency, higher throughput instances.

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Announcing Fargate for EKS (Serverless support for K8s).

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Summary of Compute Announcements

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Customers moving off mainframe, Oracle/SQL and Windows.

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ISV and SaaS Providers

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System Integrators

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Customers are moving Data Silos to Data Lakes.

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Amazon S3, the most common object store for Data Lakes today.

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Challenges managing storage access.

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Announcing S3 Access Points.

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Big data analytics options with AWS.

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Tens of thousands of customers use Redshift.

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Amazon Redshift updates.

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Announcing RA3 instances.

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Storage performance growing at 6x VS CPU

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Accelerate Compute with caching, announcing Aqua, coming mid-2020

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Announcing UltraWarm, warm storage layer for ElasticSearch

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Purpose built database options. There’s one missing, managing Cassandra.

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Announcing Amazon Managed Apache Cassandra Services.

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Complete family of purpose-built databases.

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Machine Learning continues to grow with customers.

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Customers using Machines Learning with AWS.

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Cerner on stage discussing state of Healthcare. $1 Trillion wasted.

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One of the issue is “re-admission” costs. Patients go back for second round of care. Using Machine Language (ML) to predict and prevent re-admission.

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40% of physicians are depressed. Using VirtualScribe to offer better experience, so physicians can spend more time with their patients.

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Frameworks for ML

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Customer running TensorFlow in AWS.

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Faster to run ML with AWS

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Complete set of tools for ML with Amazon SageMaker.

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Announcing SageMaker Studio, web-based IDE for ML

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SageMaker Studio summary.

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Announcing Amazon Fraud Detector

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CodeGuru Profiler can detect latency and most expensive line of code.

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Announcing Amazon Connect – Contact center in the Cloud

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ML with Amazon Connect

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Announcing Amazon Kendra, ML search index for your enterprise connecting to your internal data sources on-prem.

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Amazon goes all in on ML!

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GA of AWS Outpost for Native AWS services.

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Two variants of AWS Outpost. VMware Cloud on AWS with Outpost coming in 2020.Screenshot_20191203-103453_Samsung Internet

The Eight Currentcies of 5G. “You need SDN. You need to virtualize your network.” — Chairman, CEO of Verizon

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Mobile Edge Compute with 5G

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Announcing AWS Wavelength, AWS services at the Edge. Verizon as the first provider to announce Verizon 5G Edge

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That wraps up the re:Invent keynote!