Data Governance for Data Science with Adam Wood - #578

Data Governance for Data Science with Adam Wood - #578

Today we’re joined by Adam Wood, Director of Data Governance and Data Quality at Mastercard. In our conversation with Adam, we explore the challenges that come along with data governance at a global scale, including dealing with regional regulations like GDPR and federating records at scale. We discuss the role of feature stores in keeping track of data lineage and how Adam and his team have dealt with the challenges of metadata management, how large organizations like Mastercard are dealing with enabling feature reuse, and the steps they take to alleviate bias, especially in scenarios like acquisitions. Finally, we explore data quality for data science and why Adam sees it as an encouraging area of growth within the company, as well as the investments they’ve made in tooling around data management, catalog, feature management, and more. The complete show notes for this episode can be found at twimlai.com/go/578

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Human-AI Collaboration for Creativity with Devi Parikh - #399

Human-AI Collaboration for Creativity with Devi Parikh - #399

Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR). In our conversation, we touch on D...

10 Aug 202044min

Neural Augmentation for Wireless Communication with Max Welling - #398

Neural Augmentation for Wireless Communication with Max Welling - #398

Today we’re joined by Max Welling, Vice President of Technologies at Qualcomm Netherlands, and Professor at the University of Amsterdam. In our conversation, we explore Max’s work in neural augmentati...

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Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Today we're joined by Iordanis Kerenidis, Research Director CNRS Paris and Head of Quantum Algorithms at QC Ware. Iordanis was an ICML main conference Keynote speaker on the topic of Quantum ML, and...

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ML and Epidemiology with Elaine Nsoesie - #396

ML and Epidemiology with Elaine Nsoesie - #396

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to ad...

30 Juli 202046min

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Today we’re joined by Hal Daume III, professor at the University of Maryland and Co-Chair of the 2020 ICML Conference. We had the pleasure of catching up with Hal ahead of this year's ICML to discuss ...

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Graph ML Research at Twitter with Michael Bronstein - #394

Graph ML Research at Twitter with Michael Bronstein - #394

Today we’re excited to be joined by return guest Michael Bronstein, Head of Graph Machine Learning at Twitter. In our conversation, we discuss the evolution of the graph machine learning space, his ne...

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Panel: The Great ML Language (Un)Debate! - #393

Panel: The Great ML Language (Un)Debate! - #393

Today we’re excited to bring ‘The Great ML Language (Un)Debate’ to the podcast! In the latest edition of our series of live discussions, we brought together experts and enthusiasts to discuss both pop...

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What the Data Tells Us About COVID-19 with Eric Topol - #392

What the Data Tells Us About COVID-19 with Eric Topol - #392

Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we’ve learned ab...

16 Juli 202042min

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