AWS Week in Review – January 16, 2023
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Coming back to our AWS Week in Review—it’s been a busy week!
Last Week’s Launches
Here are some launches that got my attention during the previous week:
AWS Local Zones in Perth and Santiago now generally available – AWS Local Zones help you run latency-sensitive applications closer to end users. AWS now has a total of 29 Local Zones; 12 outside of the US (Bangkok, Buenos Aires, Copenhagen, Delhi, Hamburg, Helsinki, Kolkata, Muscat, Perth, Santiago, Taipei, and Warsaw) and 17 in the US. See the full list of available and announced AWS Local Zones and learn how to get started.
AWS Clean Rooms now available in preview – During AWS re:Invent this past November, we announced AWS Clean Rooms, a new analytics service that helps companies across industries easily and securely analyze and collaborate on their combined datasets—without sharing or revealing underlying data. You can now start using AWS Clean Rooms (Preview).
Amazon Kendra updates – Amazon Kendra is an intelligent search service powered by machine learning (ML) that helps you search across different content repositories with built-in connectors. With the new Amazon Kendra Intelligent Ranking for self-managed OpenSearch, you can now improve the quality of your OpenSearch search results using Amazon Kendra’s ML-powered semantic ranking technology.
Amazon Kendra also released an Amazon S3 connector with VPC support to index and search documents from Amazon S3 hosted in your VPC, a new Google Drive Connector to index and search documents from Google Drive, a Microsoft Teams Connector to enable Microsoft Teams messaging search, and a Microsoft Exchange Connector to enable email-messaging search.
Amazon Personalize updates – Amazon Personalize helps you improve customer engagement through personalized product and content recommendations. Using the new Trending-Now recipe, you can now generate recommendations for items that are rapidly becoming more popular with your users. Amazon Personalize now also supports tag-based resource authorization. Tags are labels in the form of key-value pairs that can be attached to individual Amazon Personalize resources to manage resources or allocate costs.
Amazon SageMaker Canvas now delivers up to 3x faster ML model training time – SageMaker Canvas is a visual interface that enables business analysts to generate accurate ML predictions on their own—without having to write a single line of code. The accelerated model training times help you prototype and experiment more rapidly, shortening the time to generate predictions and turn data into valuable insights.
For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.
Other AWS News
Here are some additional news items and blog posts that you may find interesting:
AWS open-source news and updates – My colleague Ricardo writes this weekly open-source newsletter in which he highlights new open-source projects, tools, and demos from the AWS Community. Read edition #141 here.
ML model hosting best practices in Amazon SageMaker – This seven-part blog series discusses best practices for ML model hosting in SageMaker to help you identify which hosting design pattern meets your needs best. The blog series also covers advanced concepts such as multi-model endpoints (MME), multi-container endpoints (MCE), serial inference pipelines, and model ensembles. Read part one here.
I would also like to recommend this really interesting Amazon Science article about differential privacy for end-to-end speech recognition. The data used to train AI models is protected by differential privacy (DP), which adds noise during training. In this article, Amazon researchers show how ensembles of teacher models can meet DP constraints while reducing error by more than 26 percent relative to standard DP methods.
Upcoming AWS Events
Check your calendars and sign up for these AWS events:
#BuildOnLive – Build On AWS Live events are a series of technical streams on twitch.tv/aws that focus on technology topics related to challenges hands-on practitioners face today.
- Join the Build On Live Weekly show about the cloud, the community, the code, and everything in between, hosted by AWS Developer Advocates. The show streams every Thursday at 09:00 US PT on twitch.tv/aws.
- Join the new The Big Dev Theory show, co-hosted with AWS partners, discussing various topics such as data and AI, AIOps, integration, and security. The show streams every Tuesday at 08:00 US PT on twitch.tv/aws.
Check the AWS Twitch schedule for all shows.
AWS Community Days – AWS Community Day events are community-led conferences that deliver a peer-to-peer learning experience, providing developers with a venue to acquire AWS knowledge in their preferred way: from one another.
- In January, the AWS community will host in-person events in Singapore (January 28) and in Tel Aviv, Israel (January 30).
AWS Innovate Data and AI/ML edition – AWS Innovate is a free online event to learn the latest from AWS experts and get step-by-step guidance on using AI/ML to drive fast, efficient, and measurable results.
- AWS Innovate Data and AI/ML edition for Asia Pacific and Japan is taking place on February 22, 2023. Register here.
- Registrations for AWS Innovate EMEA (March 9, 2023) and the Americas (March 14, 2023) will open soon. Check the AWS Innovate page for updates.
You can browse all upcoming in-person and virtual events.
That’s all for this week. Check back next Monday for another Week in Review!
— Antje
This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS!
Source: AWS News