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

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. ---------------------------------------- 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.

Global Namespace for Precision Medicine: The Data Breakthrough w/ William Baird

Global namespace is becoming a critical strategy for cancer genomics, precision medicine, and life sciences data infrastructure. In this episode of Data Unchained, Molly Presley speaks with William Baird from Guardant Health about managing 160PB of genomic data across HPC, on prem systems, and multi-cloud environments. They break down why 80% of this data is still active, how researchers need faster access without worrying about where data lives, and why global namespace could become a major solution for decentralized data at scale. The conversation also explores vendor flexibility, continuity, standards development, and what it takes to support life sciences workflows when the stakes are incredibly high. 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.