Artificial Intelligence Feed’s Post

If you missed today's session on 👨💻 Troubleshooting with Amazon Q (part 2), here is the recording https://lnkd.in/eyW96R7d

A trial to clone Amazon front page. Hope you like it!

In today's blog post, I'm starting a deep dive on how the new Amazon Aurora DSQL works under the covers: https://lnkd.in/gi7UUeJr We're looking at the read path, including transaction isolation and query performance. And multi-version concurrency with dogs (this is Snuffles).

--- apiVersion: v1 kind: ServiceAccount metadata:  name: aws-test  namespace: default --- apiVersion: v1 kind: Pod metadata:  name: aws-cli  namespace: default spec:  serviceAccountName: aws-test  containers:  - name: aws-cli   image: amazon/aws-cli   command: [ "/bin/bash", "-c", "--" ]   args: [ "while true; do sleep 30; done;" ]  tolerations:  - operator: Exists   effect: NoSchedule So what does it do??? 🙄 🙃

In this video I show you how to use the Amazon Lex QnAIntent to provide pre-approved answers to customer questions while using the power of Amazon Bedrock to identify the correct answer based on the customer's question and conversation history. This is a feature requested by many of our customers in regulated industries. It removes any risk of hallucinations while still providing accurate matching of questions and answers using Knowledge Bases for Amazon Bedrock. Thank you shreyash Bali for your work on this feature!

I tried the static map function of Amazon Location Service v2. 🎉  This is an example of using the new static map in Amazon Location Service v2, released in November 2024. 🗺  Please check it out! https://lnkd.in/gw7rm6ea #AWScommunity #AmazonLocationService

While Amazon S3 doesn't natively support point-in-time restore (PITR), you can achieve this functionality for versioning-enabled buckets using a convenient tool called s3-pit-restore. #awscloud In this blog post, we'll discuss how to use s3-pit-restore: https://lnkd.in/gXqE9D9w

Keep track of changes and maintain data integrity with Amazon S3's versioning feature. Protect your data from accidental deletions and overwrites. Discover the power of versioning with Amazon S3!" 👉 Visit our website: https://virajo.in 📧 For inquiries, email us at: sales@virajo.in Follow us on social media for updates and insights: 🔗 LinkedIn: https://lnkd.in/ezj6WRAS 👍 Facebook: https://lnkd.in/eq4w4Zds #DataVersioning #AmazonS3

Last year, AWS launched Amazon Verified Permissions and open sourced the Cedar language and SDK. The response has been swift and breathtaking! We ranked #1 in KuppingerCole's PBAC Leadership Compass*. A recent academic paper demonstrated that the Cedar policy language is not just easy to read, but 28x-80x faster than OpenFGA and OPA Rego (respectively)**. But as customers begin their journey to Verified Permissions, I often hear the refrain: 'I have an app/set of APIs, but how do I write policies? How should I model things? I don't know where to start.' We created an Amazon Verified Permissions Video Primer Series to take you through the steps to create an Application Policy Model, develop a Cedar schema, and write/test your policies. Grab some popcorn, settle in, and enjoy! Verified Permissions Video Primer #1 (Create an Application Policy Model): https://lnkd.in/gXaRncsh Verified Permissions Video Primer #2 (Create an Application Schema): https://lnkd.in/gqjEzSin Verified Permissions Video Primer #3 (Create and Test Policies for your Application): https://lnkd.in/gWGcM-Ax

How are you solving problems? What level problem solver are you? What can you learn from Elon Musk and Andy Jassy? How will AI change this? Transparently, I'm evolving this article and resource https://lnkd.in/dSgkv3uP and am curious to learn from you as you discover what level problem solver you and your organization have reached and consider how you might advance this with AI... Thank you Jan Flac, your timing of posting this was uncanny! #AI #problemsolving #starups