AWS re:Invent 2022 Recap: Data Management, AI, and Compute Take Center Stage

As businesses grapple with growing volumes of data collected and generated by a myriad of cloud-based applications, Amazon Web Services (AWS) this week unveiled a wide range of new applications and product enhancements during of its annual re:Invent conference that aim to optimize data analysis and governance, and strengthen the IT infrastructure to do so.

Over the past few days, the company launched new services and features across its storage, compute, analytics, machine learning, databases and security services, and made its first foray into management. of the supply chain.

Here’s a summary of the major announcements, with links to articles with more details on the updates.

AWS launches analytics and data management updates

A major theme of re:Invent 2022 was Amazon’s efforts to make data management and analysis easier for businesses, as the company announced a dozen updates to data services.

The updates included the launch of two new features – Amazon Aurora Zero-ETL Integration with Amazon Redshift and Amazon Redshift Integration for Apache Spark – which it says will make the process of mining, transformation and loading (ETL) deprecated.

A new data management service, dubbed AWS DataZone, to help companies catalog, discover, share and manage data stored on AWS, on-premises and third-party sources, was also previewed by the company. .

Additionally, to help enterprises collaborate on data with their partners, AWS has launched a new service called AWS Clean Rooms.

The company also announced updates to its serverless data integration service, AWS Glue, including updated engines and support for new languages ​​and data formats. Also introduced was AWS Glue Data Quality, a new service feature designed to analyze tables and automatically recommend a set of quality rules.

Along with updating other services, AWS has added new features to its unified business intelligence service, Amazon QuickSight, to include the ability to ask natural language queries through a new feature called QuickSight Q. Other Features added to QuickSight include the ability to generate paged queries. reports and rapid analysis for large data sets.

AWS machine learning gets a makeover

Continuing the refinement of its artificial intelligence applications, AWS announced new updates to its SageMaker machine learning service to improve governance attributes within the service and add new functionality to its building blocks. grades.

As part of these updates, the company launched Amazon SageMaker Role Manager, aimed at making it easier for administrators to control access and set permissions for users.

Additionally, it added a new tool to SageMaker called Amazon SageMaker Model Cards, to help data science teams transition from manual record keeping.

Amazon SageMaker Model Dashboard has also been added to the service, designed to provide a central interface within SageMaker for tracking machine learning models.

By updating its notebooks, AWS has added data prep capability to Amazon SageMaker Studio Notebook as well as a new workspace within SageMaker to enable data science teams to read, edit, and run notebooks together in real time.

AI features added to several services

To help businesses get more out of their data, AWS has added new artificial intelligence (AI) capabilities to a range of other services, including Textract, Transcribe, Kendra, CodeWhisperer, and HealthLake.

As part of these updates, the company has added a new feature to Amazon Texttract designed to improve the processing of loan documents.

To help businesses provide better service and a better customer experience, AWS has updated its automatic speech recognition (ASR) service, Amazon Transcribe, to provide real-time call analysis.

Meanwhile, AWS has bolstered its AI-powered enterprise search service, Amazon Kendra, by adding a new feature that supports tabular search in HTML.

Top AWS Security Updates

Recognizing that data has become the lifeblood of businesses as cyberattacks continue to proliferate, AWS has released updates to its data security services.

A major announcement was the launch of a new cybersecurity service, Amazon Security Lake, which automatically centralizes security data from cloud and on-premises sources into a purpose-built data lake in a customer’s AWS account.

Security features released at the conference included updates to AWS’ automated vulnerability management service, Amazon Inspector, and its machine-learning security and privacy service, Amazon Macie.

Key AWS Compute Updates

As businesses capture, store, and process more data, their compute needs are set to increase. Recognizing the trend, AWS has released new updates to its compute services as well as some industry-specific features designed to run extremely heavy workloads.

Bolstering its high-performance computing services, the company announced Amazon EC2 Hpc6id Instances, which it says can support “the most intensive workloads with higher compute performance per vCPU as well as greater memory.” and local disk storage to reduce job completion time for data-intensive data.” workloads.

Additionally, the company launched a new chip (Graviton3E) for high-performance computing (HPC) and the next generation of its Nitro smart networking chip, as well as instances that take full advantage of the hardware.

Targeting the space and healthcare industry, the company unveiled two new services: Amazon SimSpace Weaver and Amazon Omics.

SimSpace Weaver, which is a managed computing service, is aimed at companies looking to run complex 3D simulations with more than one million objects, AWS said, adding that Omics was designed to help researchers and scientists to store and accelerate the analysis of genomic and other data. types of biological data for precision medicine.

AWS’s first foray into the supply chain

Sensing a growing opportunity in demand for supply chain applications, the company made its first foray into supply chain management with the release of a cloud application that incorporates machine learning to help large companies, which often use several ERP systems, to obtain a unified view. suppliers, inventory, logistics and other supply chain components.

The launch of the app, dubbed AWS Supply Chain, comes at a time when the world is being hit with a myriad of supply chain issues, including issues related to the pandemic and the ongoing war in Ukraine.

Copyright © 2022 IDG Communications, Inc.

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