Data Unchained
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Podcast Overview
<div>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.</div><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
Language
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Publishing Since
4/20/2022
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Recent Episodes
May 29, 2026
Is the Data Migration Nightmare Finally Over? w/ Pradnesh Patil
<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, governance, context management, and the painful migration projects most teams try to avoid. He also breaks down why walled-garden AI tools can limit flexibility, why context graphs matter, and how enterprises can reduce cost without sacrificing control.</p><br><p>https://www.altimate.ai/</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/by/3.0/deed.en_US</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
May 15, 2026
Is Science Next in the AI Disruption Cycle? w/ Kevin Moore
<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 control, and flexible data set constructs are becoming essential as organizations move from isolated data silos toward human and AI-assisted research workflows.</p><p><br></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
May 1, 2026
AI Has Data Problem Supercomputers Already Solved w/ Mike Heroux
<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 the next generation of research and engineering.</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/by/3.0/deed.en_US</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
114 total episodes available
Recent guests on Data Unchained
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Ted Weatherford
Guest
Paul Lekas
Guest
Chris Mohr
Guest
David Flynn
Guest
Rita Gupta
Guest
Younes Hairej
Guest
Scott Taylor
Guest
RJ Kedziora
Guest
Malcolm Hawker
Guest
Jordan Morrow
Guest
Chris Sullivan
Guest
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Frequently asked questions
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- What is Data Unchained?
<div>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.</div><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p> - How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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