Marketing teams require AI agents capable of orchestrating complex campaigns with enterprise controls. This session explores Epsilon's production-ready multi-agent system built with Amazon Bedrock AgentCore for intelligent marketing campaigns. Learn to implement secure agent collaboration using AgentCore Runtime for parallel execution, Gateway for controlled data access, and Identity for granular permissions. We'll cover architectural patterns for asynchronous workflows, demonstrate personalized content generation with brand consistency, and explore real-time campaign monitoring through AgentCore Observability. You'll gain proven patterns for building autonomous marketing agents that execute multistep workflows, scale to thousands of concurrent campaigns, and maintain complete auditability.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

As organizations mature their generative AI strategy, more complex use cases emerge. Originally focused on unstructured data, organizations now require structured data as a source of knowledge for AI applications. This session will showcase a method for storing and accessing structured and unstructured data in tandem through an AI agent. Learn how to put text data into a vector store and create a text-to-SQL system with advanced knowledge bases, then efficiently direct user questions using AI agents for a smooth user experience. This approach demonstrates how to leverage both structured and unstructured data sources to enhance the capabilities of generative AI systems in enterprise environments.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Amazon SageMaker HyperPod helps build, train and deploy AI models at scale. You can spin-up preferred IDE on HyperPod to develop their models and run experiments, then scale to thousands of accelerators to run distributed training and finally deploy models for real-time or batch inference. With HyperPod task governance capabilities, you can optimize the utilization of the cluster resources. In this talk, we will show how interaction with HyperPod clusters is simplified via the SageMaker HyperPod CLI and SDK, which streamlined end-to-end model development, from training, fine-tuning to deployment. We'll show HyperPod CLI/SDK capabilities with live coding and troubleshooting.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Learn how AWS can help you with data integration and preparing data for analytics, machine learning (ML) and generative AI workloads. Explore new capabilities that enable your users to have controlled access to all relevant data, easily build and maintain scalable and resilient data pipelines, and enhance decision-making quality,all with exceptional price performance. See how zero-ETL and query federation can complement ETL and ELT data pipelines.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses. We'll demonstrate building knowledge graphs from structured and unstructured data, combining graph algorithms (PageRank, Louvain clustering, path optimization) with semantic search, and executing Cypher queries on Parquet and Iceberg formats in Amazon S3. Through code samples and benchmarks, learn advanced architectures to use Neptune for multi-hop reasoning, entity linking, and context enrichment at scale. This session assumes familiarity with graph concepts and data lake architectures.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

You've seen the potential of agentic AI through proof-of-concepts, and you're ready to build a foundation that can support all AI applications across your organization. Enter the complexities: model access and management, tool discovery, memory and state handling, observability, plus deployment and operations at scale! In this session we'll demonstrate how to build a well-architected foundation that seamlessly integrates model access, orchestration workflows, agents, tools and domain-specific data pipelines while maintaining enterprise-grade observability and governance controls. We'll examine components of a production-ready generative AI and agentic system and dive deep into the architectural patterns that separates successful deployments from failed experiments.

Learn more: AWS re:Invent: https://go.aws/reinforce. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

This session will focus on the latest Industry & LOB solutions, from Generative AI solutions in radiology to geospatial modeling for power. We will explain the opportunity for AWS Partners to increase visibility of their offerings, as well as develop joint business with AWS and we unlock new innovations for customers. We will share with partners the approach AWS is taking to address key industry use cases with Agentic AI, via partner solutions running on AWS.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Amazon OpenSearch Service is at the heart of how Artificial Intelligence is transforming the way we store, search, and use data. Learn how businesses are using AI to power their search-backed applications, achieving significant improvements in search accuracy and performance with OpenSearch Service’s advanced vector capabilities. Learn how Recruit uses OpenSearch Service to find available tables for "Hot Pepper Gourmet" diners. Dive deep into OpenSearch’s vector capabilities, and its role in building chat bots and agentic search. You’ll learn how to build scalable, high-performance, and cost-optimal solutions so that you can incorporate these technologies in your stack.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Enterprises use Apache Kafka and Apache Flink for an increasing number of mission-critical use-cases, real-time analytics, application messaging, and machine learning. As this usage grows in size and scale, so does the criticality, scale, and cost of managing the Kafka and Flink clusters. Learn how customers can achieve the same or higher availability and durability of their growing clusters, both at lower unit costs and with operational simplicity with Amazon MSK (Managed Streaming for Apache Kafka), and Amazon MSF (Managed Streaming for Apache Flink).

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Enterprise developers face challenges processing diverse unstructured content across multiple formats, often requiring complex integration of various AI services. Learn how Amazon Bedrock Data Automation simplifies AI application development by unifying workflows for documents, audio, images, and video into a single service. Through Air's success story discover how Bedrock Data Automation helps streamline content processing, optimizes price-performance, and enables customized insights generation. See how teams can accelerate their journey from experimentation to production while maintaining flexibility to use existing AI services where needed.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Intelligent agents with memory capabilities can deliver smarter, more personalized interactions—but implementing memory in production is no easy task. In this session, we’ll cover how to build context-aware agents using Amazon Bedrock AgentCore Memory. Learn to manage short-term and long-term memory securely, structure agent interactions around user history, and scale memory. Hear from Experian on how they are reimagining conversational memory architecture across their AI ecosystem. Learn about their framework for hierarchical context and how the availability of AgentCore Memory is shaping their direction toward a simpler approach for future AI-driven products and services.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Credit unions and insurance organizations can leverage AI agents for automating complex workflows. In this code talk we’ll demonstrate going from concept to production with spec-driven development. We’ll work backwards from your business processes such as lending automation, claims processing, and fraud detection to turn prompts into detailed specifications, code, documents, and tests. Using prompts as code, we'll build production-ready agents using Strands Agents SDK and AWS services. Attendees will leave equipped with implementation tools, sample code, and best practices for building and deploying agentic AI solutions that transform credit union and insurance operations while ensuring explainable, compliant AI decision-making.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

A short but exciting teaser of what’s coming next in AI-featured IDEs and the vibe coding innovation pipeline.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I unpacked the 7 biggest myths circulating in the data career space and reveal what actually matters when trying to land your first role. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator ⌚ TIMESTAMPS 00:00 – Myth #1: “Data Analyst is the only title” 02:00 – Myth #2: “You have zero data experience” 04:23– Myth #3: “You need to learn ALL the data skills” 06:03 – Myth #4: “You need a degree or certificate” 07:40 – Myth #5: “Data jobs are easy to land” 09:14– Myth #6: “Most data jobs are remote” 11:08 – Myth #7: “AI is going to take your data job” 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

This talk focuses on how we can future-proof not only our careers but also our products and business models in the age of AI. Mirela explores the shift from simply using LLM to speed up PM work to building AI-first products where and when it matters, with three case studies.

--- Mayor Renard Johnson’s participation in the Bloomberg Harvard City Leadership Initiative offers an example of the power of data storytelling.

--- Today, Bloomberg Center for Government Excellence Executive Director Oliver Wise talks to Mayor Renard Johnson of El Paso, Texas, a participant in the Bloomberg Harvard City Leadership Initiative. The city finds itself at the center of two national conversations: immigration and AI infrastructure. The mayor is using data to broaden prevailing narratives about El Paso and elevate the social and economic opportunity the metropolitan region has to offer.

--- Learn more about GovEx! --- Fill out our listener survey

The AI landscape is evolving at breakneck speed, with new capabilities emerging quarterly that redefine what's possible. For professionals across industries, this creates a constant need to reassess workflows and skills. How do you stay relevant when the technology keeps leapfrogging itself? What happens to traditional roles when AI can increasingly handle complex tasks that once required specialized expertise? With product-market fit becoming a moving target and new positions like forward-deployed engineers emerging, understanding how to navigate this shifting terrain is crucial. The winners won't just be those who adopt AI—but those who can continuously adapt as it evolves. Tomasz Tunguz is a General Partner at Theory Ventures, a $235m early-stage venture capital firm. He blogs at tomtunguz.com & co-authored Winning with Data. He has worked or works with Looker, Kustomer, Monte Carlo, Dremio, Omni, Hex, Spot, Arbitrum, Sui & many others. He was previously the product manager for Google's social media monetization team, including the Google-MySpace partnership, and managed the launches of AdSense into six new markets in Europe and Asia. Before Google, Tunguz developed systems for the Department of Homeland Security at Appian Corporation. In the episode, Richie and Tom explore the rapid investment in AI, the evolution of AI models like Gemini 3, the role of AI agents in productivity, the shifting job market, the impact of AI on customer success and product management, and much more. Links Mentioned in the Show: Theory VenturesConnect with TomTom’s BlogGavin Baker on MediumAI-Native Course: Intro to AI for WorkRelated Episode: Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory VenturesRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Send us a text We go inside Mediahuis to see how a small GenAI team is transforming newsroom workflows without losing editorial judgment. From RAG search to headline suggestions and text‑to‑video assists, this episode shares what works, what doesn’t, and how adoption spreads across brands. You’ll hear about: Ten priority use cases shipped across the groupHeadline and summary suggestions that boost clarity and speedRAG‑powered search turning archives into instant contextText‑to‑video tools that free up local video teamsThe hurdles of adoption, quality, and scaling prototypes into productionTheir playbook blends engineering discipline with editorial empathy: use rules where you can, prompt carefully when you must, and always keep journalists in the loop. We also cover policies, guardrails, AI literacy, and how to survive model churn with reusable templates and grounded tests. The result: a practical path to AI in media — protecting judgment, raising quality, and scaling tools without losing each brand’s voice. 🎧 If this sparks ideas for your newsroom or product team, follow the show, share with a colleague, and leave a quick review with your favorite takeaway.