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
📻 Siste episoder av AWS re:Think Podcast
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Episode 45: re:Invent 2025 Recap: AI’s Continuing Impact on Individuals and Organizations (00:44:18)
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 Announcementshttps://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2025/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 44: The Future Of Wellness, Powered by Gen AI at mindbodygreen (00:32:11)
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 production to streamline content creation, personalize customer experiences, and scale their mission in entirely new ways. We dig into the why, the how, and the lessons learned — plus what the future of AI means for the wellness industry and other SMBs looking to innovate.If you’re curious about the intersection of wellness, media, and AI, or looking for practical inspiration on how smaller businesses can punch above their weight with Gen AI, this conversation is one you won’t want to miss.Visit mindbodygreen : https://www.mindbodygreen.com/AWS Hosts: Malini Chatterjee & Priyanka SadhuEmail Your Feedback: rethinkpodcast@amazon.com
Episode 43: Rethinking Data Infrastructure for AI Agents with Tacnode Context Lake (00:29:43)
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.ioTacnode Context Lake on AWS:https://aws.amazon.com/blogs/apn/powering-real-time-ai-with-tacnode-context-lake-on-aws/Tacnode on AWS Marketplace:https://aws.amazon.com/marketplace/seller-profile?id=seller-cchnpb2cfdvoqAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 42: Rethinking AI Assistants for Businesses with Amazon Quick Suite (00:42:16)
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 connects employees to a wide range of data to help find answers and insights while maintaining security and privacy. For more on Amazon Quick Suite:https://aws.amazon.com/quicksuite/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 41: Rethinking Data Strategy for Healthcare and Life Sciences with TileDB (00:30:10)
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, improve collaboration, and reduce infrastructure costs. Join host AWS Solutions Architect for HCLS Gokhul Srinivasan and guest Devika Garg form TileDB as they discuss real-world applications in precision medicine, genomic analysis, and how TileDB is transforming the way healthcare providers manage and analyze patient data.To Learn More:https://www.tiledb.com/AWS Hosts: Nolan Chen & Gokhul SrinivasanEmail Your Feedback: rethinkpodcast@amazon.com
Episode 40: AI Observabilty and Evaluation with Arize AI (00:39:04)
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 and Evaluating your AI Applications with Open Source Phoenix:https://phoenix.arize.com/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 39: Rethink your AI Agents with MCP (00:22:01)
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.Apart from her daily job, Mona has published two books Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend and Google Cloud Certified Professional Machine Learning Study Guide. She has authored multiple on AI/ML and cloud technology and a co-author on a research paper on CORD19 Neural Search. She is also a frequent speaker at multiple conferences such as ISMB 2022, AWS Re:Invent. Links https://www.amazon.com/Natural-Language-Processing-AWS-Services/dp/1801812535https://a.co/d/7rlkZwnBlog - Implement MCP in SageMaker AI https://aws.amazon.com/blogs/machine-learning/extend-large-language-models-powered-by-amazon-sagemaker-ai-using-model-context-protocol/Blog - Implement MCP with Bedrock Agents https://aws.amazon.com/blogs/machine-learning/harness-the-power-of-mcp-servers-with-amazon-bedrock-agents/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 38: AI Native Databases with Weaviate (00:24:47)
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.ioLinkedin - https://www.linkedin.com/company/weaviate-io/AWS Marketplace - https://aws.amazon.com/marketplace/seller-profile?id=seller-jxgfug62rvpxsDeveloper Community - https://weaviate.io/developers/weaviate/model-providers/awsInstagram - https://www.instagram.com/weaviate.io/Youtube - https://www.youtube.com/@WeaviateAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 37: AI Model Merging with Arcee AI (00:46:08)
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 Websitehttps://arcee.aiArcee’s MergeKit: A Toolkit for Merging Large Language Modelshttps://arxiv.org/abs/2403.13257Deep dive: model merging on YouTube:https://youtu.be/cvOpX75Kz4M?si=nT2U7Fe8oLNRSy0uTry MergeKit:https://github.com/arcee-ai/mergekitAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 36: AI Data Pipelines with Komprise (00:21:20)
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:www.komprise.comAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 35: What it Takes to Win in 2025 (00:28:20)
"2025 is the year of inference." 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 with AI. He and his team have a deep understanding of these companies - the challenges they're up against, their limited resources, their unique value propositions, and how to enable their growth with maximum ROI. In this episode, we are happy to have Todd back again to discuss what were the 2024 trends, what were the pleasant surprises, his actionable insights and some recipe for success in 2025 and beyond.
Episode 34: re:Invent 2024 Recap (00:40:53)
Join AWS Head of AI and Modern Data Strategy Business Development Ben Schreiner for a recap of re:Invent 2024. Ben share his top 5 themes from the conference as well as what surprised him in 2024 and what he thinks lies ahead in tech in 2025. AWS Hosts: Nolan Chen & Malini ChatterjeeTop Announcements from re:Invent 2024:https://aws.amazon.com/blogs/aws/top-announcements-of-aws-reinvent-2024/https://aws.amazon.com/blogs/machine-learning/aws-reinvent-2024-highlights-top-takeaways-from-swami-sivasubramanian-to-help-customers-manage-generative-ai-at-scale/Email Your Feedback: rethinkpodcast@amazon.com#awsrethink
Episode 33: Rethinking Network Connectivity and Security in the Cloud with Tailscale (00:29:03)
In this episode, Tailscale CEO Avery Pennarun joins us to discuss VPNs, network connectivity and security in the cloud era. We talk about hub & spoke vs full mesh networks as well current and future trends in networking. Avery also talks about how Tailscale’s approach to networking helps make setting up secure networks between devices and the cloud easier than before. For more info on Tailscale check out:tailscale.comAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 32: How Criteria Corp unleashes Next-Gen Interviewing with AWS Gen AI (00:17:09)
Episode 31: Future of GenAI driven Bulk Image Editing with Crop.Photo (00:18:12)
In this AWS re:Think Podcast episode, Rahul Bhargava reveals how Crop.photo by Evolphin is revolutionizing e-commerce visuals with AI magic. Discover how smart cropping and background generation are transforming product images from mundane to magnificent. Rahul discusses the technology behind Crop.photo's ability to enhance online stores, from fashion to furniture, creating eye-catching digital storefronts. Tune in for an exciting glimpse into the future of Gen AI-driven bulk image editing that's reshaping the online shopping experience.AWS Hosts: Vaishnavi Ganesan & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.comGet Started for Free: https://app.crop.photo/user/signup
Episode 30: FinOps and Insuring your Cloud Investment with Archera (00:30:04)
In the rapidly evolving world of cloud computing, financial operations (FinOps) has emerged as a critical discipline for organizations looking to optimize their cloud spending and mitigate financial risks. In this episode of the AWS re:Think podcast, we dive deep into the latest advancements in the FinOps space, exploring how organizations can navigate the financial complexities of cloud deployment and management. Joining us is Aran Khanna, the Co-founder and CEO of Archera.ai, a leading provider of FinOps solutions. Aran shares his insights on the importance of FinOps, the latest tools and strategies, and how Archera's innovative offerings, including their "Insured Commitments" program, can help customers mitigate the financial risks associated with the cloud. Whether you're in the midst of a cloud migration or looking to optimize your existing cloud infrastructure, this episode is a must-listen for anyone looking to rethink their cloud strategy and maximize the financial benefits of the cloud. Check out Archera.ai at https://archera.ai/ to learn more.AWS Hosts: Nolan Chen & Anu JayanthiEmail Your Feedback: rethinkpodcast@amazon.com
Episode 29: Choosing the Right Large Language Model for your AI Projects (00:26:56)
Companies now have a wide array of choices when it comes to Large Language Models. In this episode we talk to Ivan Lee, CEO of datasaur.ai about choosing the right LLM for your AI projects. We discuss open source vs proprietary models and the metrics for evaluating these models. We also cover Small Language Models as well and when to use more specialized vs general purpose models.Datasaur:https://datasaur.ai/LLM Labs from Datasaur:https://datasaur.ai/llm/homeAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 28: Real Time Analytics with Apache Pinot and Startree (00:42:50)
Companies need to provide real time insights to both customers and internal users. These insights power use cases such as personalization and fraud detection. StarTree Cloud is a real-time analytics platform built on Apache Pinot for building such applications that depend on real time insights. In this episode we meet with Chinmay Soman, Head of Product at Startree.ai to discuss the different dimensions of real-time analytics and how Apache Pinot and StarTree Cloud offer a robust platform for providing such insights to applications.AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.comResources:StarTree:https://startree.aiStarTree community Slack:https://communityinviter.com/apps/startreedata/startree-communityApache Pinot Slack: https://communityinviter.com/apps/apache-pinot/apache-pinotServerless / Free forever workspace:https://stree.ai/free
Episode 27: Enhancing RAG based Gen AI Applications with Unstructured Data (00:32:52)
Today we join Maria Khalusova, Staff Developer Advocate with Unstructured.IO, to discuss how companies can unlock their Unstructured Data to deliver better results from their Large Language Models. We talk about how Unstructured Data can enhance the performance of RAG applications, RAG vs Fine Tuning, data Chunking, Multi-Modal models and more. AWS Hosts: Nolan Chen & Malini ChatterjeeUnstructured Enterprise Platform beta signup: https://unstructured.io/platformEmbedding models MTEB Leaderboard: https://huggingface.co/spaces/mteb/leaderboard2019 Deloitte report (source of the statistics that only 18% of organizations were using unstructured data):https://www2.deloitte.com/us/en/insights/topics/analytics/insight-driven-organization.html80% of data is unstructured, source: https://mitsloan.mit.edu/ideas-made-to-matter/tapping-power-unstructured-dataPapers showing RAG outperforming fine-tuning: https://arxiv.org/abs/2312.05934https://arxiv.org/abs/2401.08406Email Your Feedback: rethinkpodcast@amazon.com
Episode 26: The Fourth Industrial Revolution & 100 Years of AI (00:41:14)
In this podcast episode, we explore with Dr. Alok Aggarwal, CEO and Chief Data Scientist at Scry AI. about the past, present, and future of artificial intelligence. He traces the evolution of AI from its early beginnings in the 1950s to its current state, marked by rapid advancements and the emergence of the fourth industrial revolution. We listen to the story behind Scry AI. and how we explore the world of generative AI.If you are interested to learn more about his book "The Fourth Industrial Revolution & 100 Years of AI (1950-2050)”, here is the link to purchase it from Amazon: https://a.co/d/arodd1HAWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 25: AI/ML Security and Responsible AI (00:20:45)
In this podcast episode, we delve into the crucial topic of security related to AI and Machine Learning, with a particular focus on Generative AI. As AI and ML technologies rapidly advance, it is imperative to implement a robust security strategy based on the principle of Defense in Depth. We'll explore the potential security and privacy risks associated with AI/ML systems, highlighting the importance of Responsible AI practices. Additionally, we'll discuss practical approaches to implementing security measures within specific AI/ML services, such as Amazon Bedrock, a secure and compliant foundation for building and deploying AI/ML applications on AWS. Join us as we navigate the intricate landscape of AI/ML security, equipping you with the knowledge and best practices to safeguard your AI/ML deployments and mitigate potential risks.AWS re:Inforce 2024:https://hub.reinforce.awsevents.com/attendee-portal/catalog/?filters=5B4D572F-79F0-EE11-81DE-9CF328ECC866&search=APS351AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 24: Re-Architecting Cloud Observability with Edge Delta (00:30:41)
The amount of streaming data for Observability continues to grow exponentially from GBs to TBs daily. Join Edge Delta’s CEO Ozan Unlu as we discuss how their AI Observability Platform can deliver more Sustainable Observability, and why the needs of different size data volumes from different industries requires us to rethink Observability architecture in the Cloud. Ozan also offers valuable career advice for fast changing times.AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 23: Sampling as an Anti-pattern in Logging and Observability with Axiom (00:29:13)
Many companies are sampling away data and collecting only trends. Join Axiom’s Chief Extrovert Kendall Miller as he explains why sampling your data can disrespect your individual users. AWS Hosts: Nolan Chen & Malini ChatterjeeKendall Miller: https://www.linkedin.com/in/kendallamiller/Email Your Feedback: rethinkpodcast@amazon.com
Episode 22: Leveraging Generative AI to Enhance End-User Experiences with Mixbook (00:20:30)
In this episode we are joined by one of our AWS customers, Mixbook with DJ Charles, CTO and David Newhoff, CPO to share how they are leveraging generative AI to empower creativity and deepen human connection by unlocking the future of storytelling. Join us to hear how Mixbook took an idea from concept to production to empower their end-user’s creativity with AI-driven recommendations for images, backgrounds, stickers, captions, and more.Try out the app: https://www.mixbook.com/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com
Episode 21: Multi-Account Strategy (00:10:30)
In this episode, we join AWS Solutions Architects, Krishna Adettiwar and Eric Kiesow, to discuss how leveraging a multi-account strategy can help you protect your workloads, increase pace of innovation, and give you more cost visibility.AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.comVisit these resources to get started with the multi-account strategy:Organizing Your AWS Environment Using Multiple Accounts (AWS Whitepaper) - https://docs.aws.amazon.com/whitepapers/latest/organizing-your-aws-environment/organizing-your-aws-environment.htmlMulti-account strategy for small and medium businesses (AWS blog) - https://aws.amazon.com/blogs/mt/multi-account-strategy-for-small-and-medium-businesses/AWS Cloud Operations & Migrations Blog - https://aws.amazon.com/blogs/mt/
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