À PROPOS DE CE PODCAST 🔗
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.
Animateurs :
Fréquence de mise à jour:
biweekly
Durée audio moyenne:
31 minutes
Entretiens avec des invités
Anglais
États-Unis
116 épisodes
depuis 20 avril 2022
episodic
DERNIER ÉPISODE 🔗
Enterprise AI is forcing organizations to reconsider how much of their technology, data and infrastructure they should own. Bob Heckel, CEO of Computer Visionaries AI, joins Molly Presley on Data Unchained to explain why he believes traditional SaaS is losing its place in an AI-native business envi…
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ÉPISODES PRÉCÉDENTS 🔗
Network infrastructure generates enormous volumes of data, but much of it remains difficult to access, interpret, and use. In this episode of Data Unchained, John Capobianco, Head of AI and Developer Relations at Itential, joins Molly Presley to discuss how AI agents can turn network telemetry into…
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 behi…
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 A…
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…
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 so…
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 l…
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, co…
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 mult…
Enterprise AI adoption is accelerating across industries, but many organizations are discovering that the real challenge is not the technology. It is the data behind it. In this episode of Data Unchained, host Molly Presley speaks with Juan Sequeda and Tim Gasper from ServiceNow about what it truly…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Hammerspace, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
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