Summary of AWS re:Invent -2021 keynote announcements by Swami Sivasubramanian on 1-Dec-2021.

After a distinguished keynote session yesterday by Adam Selipky which had a lot of new announcements, today Swami Sivasubramanian launched news services focusing on data and AI/ML. Below is my summary and for more details please refer to below resources?:-

• What’s New:?All the top re:Invent and 2021 AWS announcements
• The Official AWS Podcast:?Keynote recaps each day and more
• Top Announcements of AWS re:Invent 2021

It’s all about data !!! ?To be a data drive organization you must have the right tool at the right time during the data journey. AWS had the most comprehensive ser of service for the entire end-to-end data storage, analytics and ML service for all workloads and all types of data. More than 1.5 million AWS customers using AWS database, analytics and ML service.

Data modernization , unifying data and innovation are the three key drive to a ?modern end to end data strategy. And in each area Swami made new announcements

Data modernization, unifying data, and innovation are the three key drives to a?modern end-to-end data strategy. And in each area, Swami made new announcements.

Modernize announcements

1. Amazon DevOps Guru for RDS to Detect, Diagnose, and Resolve Amazon Aurora-Related Issues using ML. It informed by years of operational excellence to automatically identifies a wide range of DB issues, like database locking , pinpoint spike in database wait time , detect faulty database.
2. Amazon RDS Custom for SQL Server to support applications that have dependencies on specific configurations and third-party applications that require customizations in corporate, e-commerce, and content management systems, such as Microsoft SharePoint.
3. New DynamoDB Table Class DynamoDB Standard-IA table class is designed for customers who want a cost-optimized solution for storing infrequently accessed data in DynamoDB without changing any application code. It Save Up To 60% in Your DynamoDB Costs.
4. More than 500,000 customers used AWS Database Migration Service (AWS DMS) to migrate databases to AWS quickly and securely. But still migration plan is could be challenging . So AWS announced AWS DMS Fleet Advisor for automated discovery and analysis of database and analytics workloads.

Unify announcements

More that 200,000 active customers data lakes are hosted on AWS S3 with 11 9s of durability and hosting structed and unstructed data. In Adam key note we announce AWS Lake Formation –Cell-Level Security and Governed Tables. ?AWS Redshift?provide up to 3x better price performance than other cloud data warehouses. And using features like Redshift federated queries you can achieve the data unify architecture.

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Innovation using Machine learning

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Data is the fuel of machine learning , today AWS made 9 new announcements across 4 stages data preparation, model building , training and tuning and development& management.

1. Amazon SageMaker Ground Truth Plus Ground Truth Plus allow you to get data labelling workflows for your unique needs. And it reduce the cost and increase quality with ML models.
2. Amazon SageMaker Studio notebook ?The first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as to build, train, and deploy models. It connect with EMR, S3 and more.
3. Introducing SageMaker Training Compiler New capability automatically compiles your Python training code and generates GPU kernels specifically for your model. It accelerate model training by 50%.
4. Announcing Amazon SageMaker Inference Recommender Automates MLOps load testing and optimizes model performance across machine learning (ML) instances.
5. Amazon SageMaker Serverless Inference enables you to easily deploy machine learning models for inference without having to configure or manage the underlying infrastructure. For example if you are building a chatbot service to be used for ?payroll processing company experiences , only by end of the moth they will face an increase in inquiries while for rest of the month traffic is intermittent.
6. Amazon Kendra Experience Builder. You can now deploy a fully functional and customizable search experience with Amazon Kendra in a few clicks, without any coding or ML experience.
7. Amazon Lex automated chatbot designer. It’s automated chatbot designer uses machine learning (ML) to analyze conversation transcripts and semantically cluster them around the most common intents and related information

Better tools for learning and experimentations.

Last 20 min of the keynote, Swami focused on learning and democratization machine learning for all. So AWS announced the following

1. Amazon SageMaker Studio Lab, a Free Service to Learn and Experiment with ML We’re launching a free service that enables anyone to learn and experiment with ML without needing an AWS account, credit card, or cloud configuration knowledge.
2. AWS AI&ML scholarship program offer access to free training modules and tutorials on the basics of ML.
3. AWS DeepRacer Student League

Two more keynotes to come.. Still day one !!!

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