AWS re:Think Podcast
Welcome to the AWS re:Think Podcast! Here to help you rethink your strategy in the cloud. In this series we explore how different cloud computing services can support your company's business strategy and goals. We cover topics such as Artificial Intelligence, Cost Optimization, Modernization, Security and more. Email us your feedback! rethinkpodcast@amazon.com
Episodes
AI agents aren't just answering questions anymore — they're executing workflows, modifying data, and making autonomous decisions across your most critical systems. As AI agents take on more complex tasks operating at scale and encounter unexpected situations, establishing robust governance and recovery mechanisms becomes increasingly important. Most organizations currently lack the systems needed to manage and address these s...
Supply chains don't break at the nodes — they break at the seams. Hosts Malini Chatterjee and Diana Conner sit down with Sriram Nagaswamy, EVP of Technology at FourKites, to unpack why a decade of supply chain investment still hasn't solved the handoff problem — and how agentic AI built on Amazon Bedrock is changing the game.
From competing on resilience in an era of tariffs and nearshoring, to autonomous agents that act...
In Part 2 of our AWS Summits recap, Geries AbouAyash, AWS Managing Director, North America Solutions Architecture joins Malini and Amit to unpack what the shift to agentic AI really means for how we work. From Amazon Quick's autonomous agents ("Quick Just Does It") to Kiro on iOS, DevOps Agent, and Transform — and the infrastructure changes powering the emerging agent economy, like S3 Annotations and AWS WAF AI Traffic Moneti...
Three AWS Summits across the US — LA on June 10, NYC on June 17, and Washington DC on June 30–July 1 — brought a wave of announcements that all orbited a single thesis: the age of agentic AI is here, and the winners will be organizations whose agents get smarter with every decision they make. In this episode, AWS Managing Director, North America Solutions Architecture, Geries AbouAyash joins hosts Malini and Amit ...
Modern cloud environments are evolving faster than traditional security models can keep up. In this episode, we sit down with Yarin Pinyan, VP Products at Upwind, to explore how real-time runtime visibility and behavioral baselining are reshaping how organizations detect and respond to threats, especially zero-day and supply chain attacks that emerge before signatures or CVEs exist. We’ll also discuss how AI is enabling a new...
AI agents move at machine speed. Your security doesn't. Discover how enterprises are finding shadow agents, measuring agent ROI, and transforming agentic AI from risk to strategic value. Learn from Arti Arora Raman, CEO Founder of Portal 26 and Neil Cohen, VP of Marketing in Portal 26 how Portal26's platform capabilities mitigate enterprise challenges around AI adoption, security, ROI, and governance.
AI agents operate autonomously...
In this episode we explore how companies should evaluate AI agents across multiple dimensions — including correctness, tool selection, multi-turn reasoning, and safety . The conversation covers building reliable evaluation frameworks, balancing automated vs. human-in-the-loop testing, and leveraging observability to debug agent behavior in production.
Links from the Show
AgentCore Evaluation: https://github.com/awslabs/agentcor...
In this episode we join AWS Senior GTM Specialists Aidin Khosrowshahi and Rakesh Kumar to unpack how Kiro is transforming software development through a spec-driven approach that goes beyond traditional AI-assisted coding. We cover what sets spec-driven development apart from "vibe coding" and why Kiro's spec-first approach matters. We also tackle the mindset shifts developers must make when adopting Kiro. The e...
"Its amazing to see the rate and pace of advancements in technology in 2025" Todd Pond, AWS Director of Strategic Sales, is out in the field with commercial customers every day, helping them leverage technology to solve their biggest problems, accelerate innovation and transform their businesses. He and his team have a deep understanding of these companies - the challenges they're up against, their limited resources, their unique v...
Aizon.ai provides an AI software platform for the pharmaceutical and biotech industries to optimize manufacturing processes, ensure GxP compliance, and improve product quality. Their top outcomes include financial savings and improved operational efficiency for clients. Aizon’s ability to optimize manufacturing production and quality in highly regulated industries by providing real-time visibility and predictiv...
Nolan and Malini join Shaown Nandi, AWS Director of AGS Technology and Subhash Vanga, Director of Solutions Architecture. They recap re:Invent 2025 announcements and discuss how AI and new technology is continuing to drive individual and organizational change for everyone.
Top re:Invent 2025 Announcements
https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2025/
AWS Hosts: Nolan Chen & Malini Chatterjee
mindbodygreen has built a global reputation as a go-to destination for wellness — combining expert content, functional nutrition supplements, and a thriving community to help millions live healthier, more balanced lives. But behind the scenes, this SMB is also leaning into the future of technology.
In this episode of The Future Of Wellness, Powered by Gen AI , Tim Glenister shares how mindbodygreen is moving Generative AI into...
Data Infrastructure built for humans over the past few decades aren't ideal for AI Agents. In this episode we join Tacnode founder and CEO Xiaowei Jiang to discuss "Context Lakes" - Data Infrastructure built to provide the context, scale and performance needed by AI Agents.
Learn more about Tacnode Context Lake:
Tacnode Context Lake on AWS:
https://aws.amazon.com/blogs/apn/powering-real-time-ai-with-tacnode-context-lake-on-a...
AI Assistants have changed the way we live and work, and they continue to evolve. In this episode, we are joined by Art Chan, Worldwide Gen AI Specialist at AWS to talk about the unique goals and requirements businesses have when it comes to AI Assistants. We discuss they are changing the way we work as well as unexpected ways people are using this new technology. We then dive into Amazon Quick Suite, an AI powered workplace that c...
In this episode, we explore how TileDB, an innovative data system originally developed at MIT and Intel Labs, is revolutionizing healthcare and life sciences data management. We'll dive deep into how TileDB's universal data engine efficiently handles complex scientific data - from genomic sequences to medical imaging - in a unified format, and learn how healthcare organizations can leverage TileDB on AWS to accelerate research, imp...
AI can still sometimes hallucinate and give less than optimal answers. To address this, we are joined by Arize AI’s Co-Founder a Aparna Dhinakaran for a discussion on Observability and Evaluation for AI. We begin by discussing the challenges AI Observability and Evaluation. For example, how does “LLM as a Judge” work? We conclude with some valuable advice from Aparna for first time entrepreneurs.
Begin Observing an...
In this episode we are going to discuss Model Context Protocol (MCP) in context of Agentic architecture with Mona - Gen AI Specialist Solutions Architect at AWS.
We will cover the challenges of implementing Agents and how MCP can help. We will try to simplify it with an example of MCP with Agents and further delve deep into LangGraph adapters such as FastMCP and FastAPI.
You will also learn about implementing MCP architecture on AWS.
Join Jobi George and Tony Le from Weaviate as we discuss how their AI Native Vector Database is powering modern AI applications. We begin with an intro to Vector Databases followed by common use cases, and how they fit into Agentic Workflows. We also talk about the advantages of using an AI Native Database from the Open Source community.
To learn more:
Website - www.weaviate.io
Linkedin - https://www.linkedin.com/compa...
Join Julien Simon, Chief Evangelist of Arcee AI, as we discuss how Model Merging can help us build more versatile and cost effective AI models. Hear him explain the different methods for Model Merging while comparing it with other techniques for building better models such as Model Distillation and Transfer Learning.
To learn more about Model Merging:
Arcee AI Website
Arcee’s MergeKit: A Toolkit for Merging...
Your AI is only as good as the data its trained on. In this episode we talk to Krishna Subramaniam, Co-Founder and President of Komprise, a provider of intelligent Data Management. We discuss both the importance and challenge of unlocking the value unstructured data for AI pipelines.
For more info on Komprise’s Intelligent Data Management Platform:
AWS Hosts: Nolan Chen & Malini Chatterjee
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