#571: AWS Data Lab

#571: AWS Data Lab

Up next

#754: Accelerating healthcare decisions with agents

In this episode of the AWS Podcast, you'll hear how Cohere Health®, uses Amazon Bedrock AgentCore to optimize the accuracy and efficiency of health plan medical necessity reviews. Cohere Review Resolve™ analyzes both structured and unstructured data–such as clinical records, pati ...  Show more

#753: Amazon Bedrock Mantle and Developing at the Speed of AI

In this episode, Simon speaks with Joe Magerramov (VP & Distinguished Engineer) to explore the transformative impact of AI-assisted coding on software development workflows. Joe shares his team's real-world experience achieving a 10x increase in code throughput using agentic deve ...  Show more

Recommended Episodes

Making Agile work for data science
The Stack Overflow Podcast

Data scientists and engineers don’t always play well together. Data scientists will plan out a solution, carefully build models, test them in notebooks, then throw that solution over the wall to engineering. Implementing that solution can take months.

Historically, the d ...

  Show more

Become a Solutions Architect (BeSA) | #014
ThoughtfulTechy Cloud

Have you ever had a dream to become a AWS Solutions Architect? Say hello to the BeSA (Become a Solutions Architect) program! I sit down with two members of the BeSA Team. This is a unique opportunity for you to learn more about the BeSA program and have the opportunity to be ment ...  Show more

AWS in Orbit: Leveraging generative AI to do more at the rugged space edge with AWS. [T-Minus]
CyberWire Daily

Kathy O’Donnell is the leader of Space Solutions Architecture for AWS Aerospace and Satellite. In this extended conversation, we dive into how AWS is supporting generative AI in the space domain. She walks us through some incredible case studies with AWS customers who are using g ...  Show more

How To Bring Agile Practices To Your Data Projects
Data Engineering Podcast

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Agile methodologies have been adopted by a majority of teams for building software applications. Applying those same practices to data can prove challenging due to the number of systems that need to be included to implem ...

  Show more