The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Much of the way we talk and think about MLOps comes from the perspective of large consumer internet companies like Facebook or Google. If you work at a FAANG company, these approaches might work well for you. But what about if you work at one of the many small, B2B companies that stand to benefit through the use of machine learning? How should you be thinking about MLOps and the ML lifecycle in th...

Today we’re joined by Ali Rodell, a senior director of machine learning engineering at Capital One. In our conversation with Ali, we explore his role as the head of model development platforms at Capital One, including how his 25+ years in software development have shaped his view on building platforms and the evolution of the platforms space over the last 10 years. We discuss the importance of a...

Today we’re joined by Vasi Philomin, vice president of AI services at AWS, joins us for our first in-person interview since 2019! In our conversation with Vasi, we discussed the recently released Amazon Code Whisperer, a developer-focused coding companion. We begin by exploring Vasi’s role and the various products under the banner of cognitive and non-cognitive services, and how those came togethe...

TWIMLcon: AI Platforms 2022 is just a day away! If you're interested in all things MLOps and Platforms/Infrastructure technology, this is the event for you! Register now at https://twimlcon.com/attend for FREE!

Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things applied, from R&D to MLOps infrastructure. In our conversation, we explore the work being done in four major categories, hardware/compute, data, applied responsible AI, and tools, frameworks, and platfor...

Today we’re back with another installment of our Data-Centric AI series, joined by Wendy Foster, a director of engineering & data science at Shopify. In our conversation with Wendy, we explore the differences between data-centric and model-centric approaches and how they manifest at Shopify, including on her team, which is responsible for utilizing merchant and product data to assist individual ve...

Today we’re joined by Bayan Bruss, a Sr. director of applied ML research at Capital One. In our conversation with Bayan, we dig into his work in applying various deep learning techniques to tabular data, including taking advancements made in other areas like graph CNNs and other traditional graph mining algorithms and applying them to financial services applications. We discuss why despite a “floo...

Today we’re joined by Orit Peleg, an assistant professor at the University of Colorado, Boulder. Orit’s work focuses on understanding the behavior of disordered living systems, by merging tools from physics, biology, engineering, and computer science. In our conversation, we discuss how Orit found herself exploring problems of swarming behaviors and their relationship to distributed computing syst...

In this extra special episode of the TWIML AI Podcast, a friend of the show John Bohannon leads a jam-packed conversation with Hugging Face’s recently appointed head of research Douwe Kiela. In our conversation with Douwe, we explore his role at the company, how his perception of Hugging Face has changed since joining, and what research entails at the company. We discuss the emergence of the trans...

Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent updates to Amazon sagemaker, including its support for synthetic data generation. In our conversation, we discussed all things synthetic data, including the importance of data quality when creating synthe...

Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side and the research team, many of whom we’ve had on the podcast over the last few years. We discuss the challenges of real-world neural network deployment and doing quantization on-device, as well as a lo...

Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Causal Conceptions of Fairness and their Consequences, which seeks to understand what it means to apply causality to the idea of fairness in ML. We explore the two broad classes of intent that have been c...

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on Brain-inspired hardware and algorithm co-design for low power online training on the edge. In our conversation with Melika, we explore her wo...

Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknown Orientation, which proposes using equivariant generative models as a prior means to show that signals with unknown orientations can be recovered with iterative gradient descent on the latent space o...

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical journey for an organization to get started with labeling, her experience when making decisions around in-house vs outsourced labeling, and what commitments need to be made to a...

Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the traditional google search engine experience. We discuss some of the various ways that machine learning is used across the platform including how they surface relevant search results and some of the recent...

Today we wrap up our coverage of the 2022 CVPR conference joined by Aljosa Osep, a postdoc at the Technical University of Munich & Carnegie Mellon University. In our conversation with Aljosa, we explore his broader research interests in achieving robot vision, and his vision for what it will look like when that goal is achieved. The first paper we dig into is Text2Pos: Text-to-Point-Cloud Cross-Mo...

Today we continue our CVPR series joined by Kate Saenko, an associate professor at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. In our conversation with Kate, we explore her research in multimodal learning, which she spoke about at the Multimodal Learning and Applications Workshop, one of a whopping 6 workshops she spoke at. We discuss the emergence of multimodal lea...

Today we kick off our annual coverage of the CVPR conference joined by Fatih Porikli, Senior Director of Engineering at Qualcomm AI Research. In our conversation with Fatih, we explore a trio of CVPR-accepted papers, as well as a pair of upcoming workshops at the event. The first paper, Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation, presen...

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...

In the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, you know we spend a lot of time discussing feature stores, or as he now refers to them, feature platforms. We explore the current complexity of data infrastructure broadly and how that has changed over...

Today we continue our Data-centric AI series joined by Shayan Mohanty, CEO at Watchful. In our conversation with Shayan, we focus on the data labeling aspect of the machine learning process, and ways that a data-centric approach could add value and reduce cost by multiple orders of magnitude. Shayan helps us define “data-centric”, while discussing the main challenges that organizations face when d...

This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat contrarian, viewpoint to the three prominent schools of thought that organizations tend to fall into, as well as a great story about how the breakthrough came via a...

Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, and of course, the infamous diagram. D. has recently translated the idea of technical debt into data debt, something we spend a bit of time on in the interview. We discuss hi...

Today we’re joined by Rob Walker, VP of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ML in the context of customer engagement and decisioning, the various problems that need to be solved, including solving the “next best” problem. We explore the distincti...