Data Unchained

In the digital age, businesses run on data. Especially at a time when workers are distributed across the globe, it's more important than ever that teams have access to the data they need, when they need it, wherever they are. In this show, we explore the world of decentralized data and the issues it raises for doing business in the 21st century. Host Molly Presley talks with a fascinating lineup of guests, including scientists, business leaders, and thinkers at the cutting edge of data science about how and why data matters, and the ideas and technologies helping to advance our understanding of how to manage data in the 21st century. Hosted on Acast. See acast.com/privacy for more information.

Data Unchained is a technology podcast hosted by Hammerspace, with 114 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Hammerspace hosts Data Unchained, a technology show with 114 episodes published.

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  Episode #114

  From Compute to Data: The Next Phase of AI Infrastructure w/ Wendell Wenjen

  Aug 8, 202641 min

  Enterprise AI is moving from experimentation to production, forcing organizations to reconsider how they store, access and manage their data. Wendell Wenjen, Senior Director of Storage Market Development at Supermicro, joins Molly Presley on Data Unchained to discuss the infrastructure demands behind enterprise AI. They examine the shift from training to inference, the growing role of storage in AI budgets, KV cache, on-premises AI and the challenge of preparing distributed enterprise data for production workloads. Wendell also explains why many AI proofs of concept never reach production, how power demands could influence infrastructure decisions and what businesses must address before deploying AI at scale. Learn more and register for the Supermicro Open Storage Summit, airing August 11 through September 3, 2026: https://thecube.net/ Learn more about Hammerspace: https://hammerspace.com/ Hosted on Acast. See acast.com/privacy for more information.

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  Episode #113

  Is the Data Migration Nightmare Finally Over? w/ Pradnesh Patil

  May 29, 202640 minS0

  <p>What is really slowing down enterprise AI? According to Pradnesh Patil, Founder and CEO of Altimate AI, the answer is not always the model. It is the data work behind it. In this episode of Data Unchained, host Molly Presley talks with Pradnesh Patil about the pressure facing modern data teams as AI adoption accelerates. They discuss why data engineers are buried in pipeline backlogs, how token costs can spiral out of control, and why enterprises need more open, vendor-agnostic ways to manage AI-driven data work. Pradnesh explains how AI agents can help with data pipeline creation, infrastructure optimization...

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  Episode #112

  Is Science Next in the AI Disruption Cycle? w/ Kevin Moore

  May 15, 202641 minS0

  <p>In this episode of Data Unchained, Molly Presley talks with Kevin Moore, CEO of Quilt Data, about what it takes to make scientific and enterprise data ready for AI, collaboration, and discovery at scale. Kevin explains how life sciences teams are managing massive multimodal data sets across AWS, S3, sequencing workflows, lab notebooks, metadata systems, governance requirements, and regulatory demands. The conversation explores how bench scientists, computational scientists, data engineers, and IT teams can work from the same versioned, contextualized data sets without losing control of access, compliance, or intellectual property. Kevin also shares why metadata, object storage, version...

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  Episode #111

  AI Has Data Problem Supercomputers Already Solved w/ Mike Heroux

  May 1, 202639 minS0

  <p>In this episode of Data Unchained, Molly Presley talks with Mike Heroux, Senior Research Scientist at ParaTools and Scientist in Residence at Saint John’s University, about what the future of AI can learn from decades of high performance computing. Mike shares lessons from open source scientific software, the Exascale Computing Project, national lab collaboration, world models, AI for science, and the growing connection between modeling, simulation, and modern AI infrastructure. The conversation also looks at why data, software, and compute must work together, how open source became essential to scientific progress, and where quantum computing may fit into th...

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  Episode #110

  Wrong Data In, Disaster Out: The Data Problem That Could Wreck Your AI Strategy w/ Mike Seashols & Floyd Christofferson

  Apr 17, 202649 minS0

  <p>Molly Presley sits down with Mike Seashols, CEO of Secuvy, and Floyd Christofferson of Hammerspace to discuss one of the biggest enterprise AI challenges today: governance. This episode explores why enterprise AI is really a data problem, how the wrong data creates risk, and what it takes to make live enterprise data AI-ready without massive migrations or added complexity.</p><br><p>Demo: https://hammerspace.com/hammerspace-aidp-demo/</p><br><p>Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic</p><p>Music promoted by https://www.free-stock-music.com</p><p>Creative Commons Attribution 3.0 Unported License</p><p>https://creativecommons.org/licenses...

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