Summary of AWS re:Invent 2022 - Keynote with Swami Sivasubramanian

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00:00:00 - 01:00:00

This video showcases some of the new products and services that Amazon announced at their AWS re:Invent conference in 2022. These include Price Tracking and Predictions, Expedia's Open World vision, and the new geospatial capabilities in Amazon SageMaker. The speaker also discusses data security and the importance of having a data strategy in place.

00:00:00 The video discusses how ideas for new inventions are not simply sparked by a random thought, but are preceded by years of study and experience.
00:05:00 The video discusses the benefits of neuroscience research in creativity, and how it can be applied to modern organizations. It goes on to discuss how data is essential for creativity, and how modern businesses need to have a data strategy in place to enable new ideas to form and flourish.
00:10:00 AWS provides a fully managed cloud data warehouse with Redshift, making it easy to store and act on data. AWS received a 95 out of 100 score in the Gartner Solution Scorecard for Amazon RDS, including Amazon Aurora. This year, AWS also received recognition for its services from Toyota, Coca-Cola, and Capital One. AWS customers are using these strategies to transform data into actionable insights for their businesses every day.
00:15:00 With the release of Amazon Athena for Apache Spark, Amazon is making it easier for data engineers and scientists to perform complex data analysis quickly and with ease. Additionally, with Amazon Redshift Integration, Amazon is making it easier for data scientists to run Spark applications on Redshift data.
00:20:00 The new Amazon DocumentDB Elastic Clusters solution automates the scaling of reads and writes to petabytes of data, with little to no downtime or performance impact.
00:25:00 This 1-minute video summarizes the key points of Swami Sivasubramanian's keynote at AWS re:Invent, including his discussion of how fully-managed databases can help scale an organization's data services. Rathi Murthy, Expedia Group's CTO and President of Expedia Product and Technology, is also introduced and discussed.
00:30:00 In 2022, Amazon announced a number of new products and services designed to make travel easier for both consumers and travel providers. One example is Price Tracking and Predictions, which uses machine learning to predict future prices for flights. Additionally, Expedia announced its Open World vision, which aims to make it easier for partners of all sizes to use the company's technology and supplies to thrive in the travel market.
00:35:00 The speaker discussed how Amazon SageMaker can be used to build models for a variety of uses, including predictive analytics and geospatial analysis. With SageMaker's new geospatial capabilities, customers can easily access high-quality data sets and train their models without needing to involve multiple vendors or data sources.
00:40:00 The new geospatial capabilities in Amazon SageMaker allow data scientists to predict natural disasters, manage relief efforts, and navigate roads using satellite imagery and pre-trained neural networks.
00:45:00 The speaker discusses the importance of data security and reliability, and explains how Amazon SageMaker can help with these tasks. He also introduces Amazon Redshift multi-AZ, a new data warehouse configuration that improves reliability and availability for analytics applications.
00:50:00 The speaker discusses how AWS protects data at the core and perimeter, and introduces Trusted Language Extensions for Postgres, a new open-source project that makes it easier to use certified Postgres extensions. The project also supports popular programming languages. The speaker describes how GuardDuty RDS Protection uses machine learning to identify potential threats to data stored in Amazon Aurora, and how it consolidates information at an enterprise level.
00:55:00 The Khasi people of India are known for their living bridges, which are long, elastic root structures that connect villages high in the Himalayas to nearby towns. This video presents the engineering lessons that can be learned from the Khasi, including the importance of quality tools and data, the need for cooperation to build these bridges, and the importance of quality rules to ensure the quality of data. The preview of AWS Glue Data Quality, a new feature of AWS Glue, will help organizations build confidence in their data and make data-driven decisions every day.

01:00:00 - 01:45:00

In this video, Swami Sivasubramanian discusses the importance of data culture and how it can help businesses reach their goals. He outlines the various challenges businesses face when trying to properly govern all their data stores and introduces new features in Redshift Data Sharing that allow businesses to manage access to data across their organization from one centralized console. Additionally, he introduces three new machine learning governance capabilities that will help users build ML models responsibly.

01:00:00 The keynote speaker at AWS re:Invent outlined the various challenges businesses face when trying to properly govern all their data stores. One way AWS is addressing this is by introducing new features in Redshift Data Sharing that allow you to manage access to data across your organization from one centralized console. With these new capabilities, admins can protect data by giving users access to the data they need to perform their job, and also improve the security of data by enabling granular role level and cell level access within Lake Formation. Additionally, AWS is introducing three new machine learning governance capabilities that will help users buildML models responsibly.
01:05:00 In this keynote, Swami Sivasubramanian discusses the major updates to AWS that will be available in 2022, including DataZone, governance for data lakes, data viruses, and machine learning. He also covers how these updates will help data people from different parts of an enterprise connect and work together more securely.
01:10:00 In this video, Shikha discusses how Amazon DataZone makes it easy for customers to find and use data, as well as govern its sharing. Data sprawl and the lack ofconnectivity between data systems can impede innovation.
01:15:00 AWS is investing in a zero-ETL future where you never have to manually build a data pipeline again. Yesterday, we announced Aurora now supports auto copy from S3 to make it easier to continuously ingest your data. Along with these updates, we are also removing the heavy lifting from ETL pipeline creation for customers who want to move data between S3 and Redshift.
01:20:00 Swami Sivasubramanian, a keynote speaker at the AWS re:Invent conference, discusses the importance of data integration and how AWS is working to make it easier for customers to connect to their data sources. The company has released new connectors for SageMaker Data Wrangler and AppFlow, as well as updates to Data Wrangler and SageMaker, to make it easier for customers to import data and build machine learning models.
01:25:00 The narrator discusses the importance of genome sequencing, the scale of the genome database, and the use of Amazon Web Services (AWS) to manage the data. They describe how AWS enables scientists to process and analyze huge amounts of data. They also mention how AWS is being used to help diagnose and treat diseases.
01:30:00 This speaker discusses the importance of data management, democratization of data, and the need for skilled employees in order to implement data-driven innovations. They point to the United States as having a shortfall in CS graduates and a lack of diversity in the data workforce. Community colleges and minority-serving institutions are key to filling this gap.
01:35:00 The speaker discusses the new educator program for community colleges and MSIs through AWS and MLU, which includes the same content that is used to train Amazon engineers. Faculty can access free compute capacity, guided curriculum, and ongoing support from tenured science educators. With this program, educators are now equipped to provide students with AI/ML courses, certificates, and degrees. The speaker also discusses the new train-the-trainer program, which includes the same content that is used to train Amazon engineers as well as the coursework that is currently offered to institutions like UC Berkeley. Faculty can access free compute capacity, guided curriculum, and ongoing support from tenured science educators. 2023 we expect to train an additional 350 educators from up to 50 community colleges across the United States.
01:40:00 This 1-paragraph summary describes how Amazon QuickSight can be used to create print-friendly, highly formatted reports in minutes. QuickSight also has new capabilities for querying the data in plain language without writing code. With these new features, business users can better understand factors impacting their data and forecast metrics.
01:45:00 Swami Sivasubramanian, a keynote speaker at AWS re:Invent, discusses the importance of data-driven culture and how it can help businesses reach their goals.