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DM Radio
DM Radio

DM Radio

DM Radio is the world's longest-running show about data! Since 2008, we've interviewed the industry's brightest minds about AI, analytics, big data, cloud, data warehousing, digital transformation, Internet of Things (IoT), streaming and many other topics. Now broadcasting coast-to-coast, we're always looking for new voices. Send an email to info@dmradio.biz!

Available Episodes 10

Building AI Assistants and Agents for mission-critical enterprise applications presents challenges related to accuracy, security, and explainability. An effective end-to-end Retrieval Augmented Generation (RAG) platform can mitigate AI "hallucinations," reduce bias, and ensure high-precision, contextually accurate outputs. This enhances compliance with copyright standards and delivers consistently trustworthy results. Robust security measures, including access controls, defenses against prompt injection attacks, and adherence to SOC2 and HIPAA compliance requirements, are essential for protecting sensitive data. Additionally, explainability for results and actions aids compliance, simplifies troubleshooting, and builds trust in AI-driven applications.

Such a platform should offer sophisticated capabilities, extending beyond basic vector search by combining semantic and lexical retrieval, advanced reranking, real-time updates, and flexible user-defined functions, while remaining easy to use through a simple API. This empowers developers to build high-performing AI-driven applications without needing deep expertise in complex RAG systems. By integrating a plug-and-play RAG solution, enterprises can lower costs, simplify custom solutions, and benefit from ongoing model and infrastructure updates, all while maintaining compliance and scalability through flexible deployment options like SaaS, on-premises, or VPC hosting. Learn more on this episode of DM Radio!

It's that time of year again, when the ghosts and goblins of failed data projects haunt executives around the world! And for the first time in years, we hear from Vincent Price Kavanagh, who tells tales of horror in the data world! The miser of all things data also spoke with a veritable IT Super-Heroine, whose name literally stems from the Taj Mahal and an ancient Mesopotamian Goddess, none other than Mimi Shalash of Splunk! The two dove into the dark and scary world of downtime caused by hackers and hacks... or sometimes, by ghosts in the machines! Learn more, if you dare, on this episode of DM Radio!

Everyone loves a good highlight reel! But unless you're a real pro in the editing booth, getting that perfect pitch takes serious time and effort. Those days are now officially over, at least for the Liverpool Football Club! They're now using Wasabi AiR to supercharge their video editing prowess! The legendary club's massive global fan base will have even more to crow about now, as the outfit's editors have the tracks greased for rapid-fire creation of amazing content.

Learn more on this episode of DM Radio as Host @eric_kavanagh interviews Liverpool SVP of Digital, Drew Crisp, and Wasabi CMO, Michael Welts!

The race is on! Who can train the best models fastest, and most efficiently? Massive amounts of data are needed, so getting the movement right makes all the difference. Register for this episode of DM Radio to learn how the fusion of High Performance Computing and Data Orchestration is fundamentally changing the entire arc of enterprise data movement.

Host @eric_kavanagh will interview David Flynn and Molly Presley of Hammerspace, along with Matthew Shaxted of Parallel Works. They'll discuss how a Global Name Space can overlay any data source, on-prem or in the cloud, thus creating a high-speed conduit right to the processors.

Can a streaming data architecture really underpin a commercial bank? Short answer is yes! Check out this episode of DM Radio to hear how Citizens Bank is restructuring its entire information architecture to run on Kafka.

DM Radio Host @eric_kavanagh sat down with Anand Vijai and Sudhakar Gopal to learn how they’re using streaming data to reinvent the flow of information for the bank. Also in this episode, Ryan Wright of thatDot talks about the nexus of graph technology and streaming data, explaining how Advanced Persistent Threats can be tackled in a new and compelling way. Closing the episode, Sanjeev Mohan of SanjMo shares his insights on streaming versus batch data.

Discover the transformative potential of streaming data platforms in this insightful episode of DMRadio. Join host Eric Kavanagh as he explores the latest advancements in data management with industry experts.

Confluent's Journey: Learn about Confluent's role in revolutionizing data infrastructure and the growing adoption of Kafka with Shaun Clowes, CPO of Confluent. The Power of AI: Gain insights into how AI is reshaping businesses and the crucial role of streaming data in driving innovation with Shashi Mulay of EY. Elastic's Approach: Discover Elastic's innovative solutions for combining search, analytics, and governance to unlock the full potential of data with Serena Chou of Elastic.

This episode offers a comprehensive overview of the latest trends and technologies shaping the future of data management. Don't miss it!

They said that Data Scientist was the sexiest job today, but what do *they* know? There are countless cool jobs in data these days! From engineers to analysts, across all industries, data pros are rocking! Find out more on this episode of DM Radio!

The Generative AI revolution is transforming how organizations operate, unlocking new use cases across industries and employee workflows. However, challenges such as security, legal compliance, and demonstrating return on investment (ROI) hinder widespread adoption. One approach for solving some of these issues uses a security orchestration layer, enabling organizations to confidently connect any data source with any generative AI model. This approach lets businesses leverage the power of GenAI while maintaining control and confidentiality.

Check out this episode of DMRadio to learn more as Host @eric_kavanagh interviews Oz Wasserman of Opsin. They'll discuss how retrieval-augmented generation (RAG) can be used to optimize the outputs of Large Language Models (LLMs). Combining contextual information with ongoing improvements in foundational models, RAG delivers superior results, ensuring organizations achieve tangible ROI with GenAI investments. Security features like role-based access control (RBAC), auditing, and anonymization can be used to safeguard data privacy and enhance security.