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

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

What is really slowing down enterprise AI? According to Pradnesh Patil, Founder and CEO of Ultimate 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. Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

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

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. Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

AI Has Data Problem Supercomputers Already Solved w/ Mike Heroux

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. Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

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

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. Demo: https://hammerspace.com/hammerspace-aidp-demo/ Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

The Future of AI Will Belong to Companies That Make Data AI-Ready Now w/ Jack Hogan

In this episode of Data Unchained, Molly Presley talks with Jack Hogan of SHI about why enterprise AI success depends on more than just powerful models or infrastructure. Their conversation explores what it really takes to make data usable for AI, from governance and security to discoverability, context, and operational readiness. They also dig into why so many enterprise AI projects stall, what business leaders often get wrong, and how organizations can better prepare for long-term success. If you are trying to understand the real barriers between AI ambition and business value, this episode offers a practical and timely look at the challenge. Find out more at: https://www.shi.com/ Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.