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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Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406

Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine.  Sameer’s work centers on large-scale and interpretable machine learning applied to info...

3 Sep 202041min

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405

Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash.  In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss...

31 Aug 202043min

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning develope...

27 Aug 202044min

AI and the Responsible Data Economy with Dawn Song - #403

AI and the Responsible Data Economy with Dawn Song - #403

Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on b...

24 Aug 202053min

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper ‘ROMA: A Relational, Object-Model Learning Agent for Sample-Eff...

20 Aug 202041min

Model Explainability Forum - #401

Model Explainability Forum - #401

Today we bring you the latest Discussion Series: The Model Explainability Forum. Our group of experts and researchers explore the current state of explainability and discuss the key emerging ideas sha...

17 Aug 20201h 27min

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University. In our conversation, we explore how Johannes applies his physics background to a career as a com...

13 Aug 202058min

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

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