Press "Enter" to skip to content

AWS re:Invent 2022 roundup: Data management, AI, compute take center stage

As businesses grapple with increasing volumes of data collected and generated by myriad cloud-based applications, Amazon Web Services (AWS) unveiled a wide range of new applications and product enhancements this week at its annual re:Invent conference. that are aimed at optimizing data analytics and governance, and strengthening the IT infrastructure to do so.

In recent days, the company has launched new services and features across its storage, compute, analytics, machine learning, database and security services, and made its first foray into supply chain management.

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

AWS Releases Analytics, Data Management Updates

A major theme at 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 release of two new capabilities: the Amazon Aurora zero-ETL integration with Amazon Redshift and the Amazon Redshift integration for Apache Spark, which it says will make the extract, transform, and load (ETL) process obsolete.

The company also previewed a new data management service, called AWS DataZone, aimed at helping companies catalog, discover, share, and control data stored on AWS, on-premises, and in third-party sources.

Additionally, to help companies collaborate on data with their partners, AWS 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 feature within the service designed to analyze tables and automatically recommend a set of quality rules.

In addition to updating other services, AWS added new features to its unified business intelligence service, Amazon QuickSight, to include the ability to perform natural language queries through a new feature called QuickSight Q. Other features added to QuickSight include the ability to generate paginated queries. fast reporting and analysis for large data sets.

AWS machine learning gets a makeover

Continuing to polish its AI applications, AWS announced new updates to its SageMaker machine learning service to improve governance attributes within the service and add new capabilities to its notebooks.

As part of these updates, the company introduced the Amazon SageMaker Role Manager, which is intended to make it easier for administrators to control access and set permissions for users.

In addition, it added a new tool to SageMaker called Amazon SageMaker Model Cards, to help data science teams stop keeping manual records.

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

By updating its notebooks, AWS added a data preparation capability to Amazon SageMaker Studio Notebook along with a new workspace within SageMaker intended to allow data science teams to read, edit, and run notebooks together in real time.

AI features added to multiple services

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

Also Read:  How to explain the machine learning life cycle to business execs

As part of these updates, the company added a new capability to Amazon Textract designed to improve loan document processing.

In an effort to help businesses provide better customer service and experience, AWS upgraded its automatic speech recognition (ASR) service, Amazon Transcribe, to provide real-time call analytics.

Meanwhile, AWS has beefed up its AI-powered enterprise search service, Amazon Kendra, by adding a new capability that supports HTML tabular search.

Major AWS Security Updates

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

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

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

Major AWS IT Updates

As businesses capture, store, and process more data, their computing requirements will increase. Recognizing the trend, AWS released new updates to its compute services along with some industry-specific capabilities that are designed to run extremely heavy workloads.

Pushing its high-performance compute 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 larger memory and disk storage.” local to reduce job completion time for data-intensive users.” workloads.”

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

Aimed at the space and healthcare industry, the company introduced 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 a million objects, AWS said, adding that Omics was designed to help researchers and scientists store and accelerate analysis. genomic and related. 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 launch of a cloud application that integrates machine learning to help large enterprises. , who often use multiple ERP systems, to get a unified view. of suppliers, inventory, logistics and other components related to the supply chain.

The launch of the app, dubbed AWS Supply Chain, comes at a time when the world has been 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.

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *