The TWIML AI Podcast (formerly This W...
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
551
Holistic Optimization of the LinkedIn News Feed...
Today we’re joined by Tim Jurka, Head of Feed AI at LinkedIn. As you can imagine Feed AI is responsible for curating all the content you see daily on the LinkedIn site. What’s less apparent to those that don’t work on this type of product is the...
47 min
552
AI at the Edge at Qualcomm with Gary Brotman - ...
Today we’re joined by Gary Brotman, Senior Director of Product Management at Qualcomm Technologies, Inc. Gary, who got his start in AI through music, now leads strategy and product planning for the company’s Artificial Intelligence and Machine...
50 min
553
AI Innovation at CES - TWiML Talk #222
A few weeks ago, I made the trek to Las Vegas for the world’s biggest electronics conference, CES. CES is one of those things that’s hard to fully understand without having seen, so I thought it’d be fun to give you a look at it from my vantage...
2 min
554
Self-Tuning Services via Real-Time Machine Lear...
Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral. Spiral is a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-time machine learning. In our...
45 min
555
Building a Recommender System from Scratch at 2...
Today we’re joined by JJ Espinoza, former Director of Data Science at 20th Century Fox. In this talk we start out with a discussion JJ’s transition from econometrician to data scientist, and then dig into his and his team’s experience building...
33 min
556
Legal and Policy Implications of Model Interpre...
Today we’re joined by Solon Barocas, Assistant Professor of Information Science at Cornell University. Solon is also the co-founder of the Fairness, Accountability, and Transparency in Machine Learning workshop that is hosted annually at conferences...
45 min
557
Trends in Computer Vision with Siddha Ganju - T...
In the final episode of our AI Rewind series, we’re excited to have Siddha Ganju back on the show. Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trends in Computer Vision in 2018 and beyond. We cover...
31 min
558
Trends in Reinforcement Learning with Simon Osi...
In this episode of our AI Rewind series, we introduce a new friend of the show, Simon Osindero, Staff Research Scientist at DeepMind. We discuss trends in Deep Reinforcement Learning in 2018 and beyond. We’ve packed a bunch into this show, as Simon...
51 min
559
Trends in Natural Language Processing with Seba...
In this episode of our AI Rewind series, we’ve brought back recent guest Sebastian Ruder, PhD Student at the National University of Ireland and Research Scientist at Aylien, to discuss trends in Natural Language Processing in 2018 and beyond. In our...
51 min
560
Trends in Machine Learning with Anima Anandkuma...
In this episode of our AI Rewind series, we’re back with Anima Anandkumar, Bren Professor at Caltech and now Director of Machine Learning Research at NVIDIA. Anima joins us to discuss her take on trends in the broader Machine Learning field in 2018...
50 min
561
Trends in Deep Learning with Jeremy Howard - TW...
In this episode of our AI Rewind series, we’re bringing back one of your favorite guests of the year, Jeremy Howard, founder and researcher at Fast.ai. Jeremy joins us to discuss trends in Deep Learning in 2018 and beyond. We cover many of the...
67 min
562
Training Large-Scale Deep Nets with RL with Nan...
Today we close out both our NeurIPS series and our 2018 conference coverage with this interview with Nando de Freitas, Team Lead & Principal Scientist at Deepmind and Fellow at the Canadian Institute for Advanced Research. In our conversation, we...
54 min
563
Making Algorithms Trustworthy with David Spiege...
In this, the second episode of our NeurIPS series, we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker at...
22 min
564
Designing Computer Systems for Software with Ku...
Today we’re joined by Kunle Olukotun, Professor in the department of Electrical Engineering and Computer Science at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, presenting on...
54 min
565
Operationalizing Ethical AI with Kathryn Hume -...
Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. You might remember Kathryn from our interview last year on “Selling AI to the Enterprise,” which was . This time around, we discuss...
52 min
566
Approaches to Fairness in Machine Learning with...
Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector Institute. In our conversation, Rich describes some...
44 min
567
Trust and AI with Parinaz Sobhani - TWiML Talk ...
In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” umbrella, such as transparency, fairness and...
45 min
568
Unbiased Learning from Biased User Feedback wit...
In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. Thorsten participated at the conference’s AI Summit, presenting his research on “Unbiased...
39 min
569
Language Parsing and Character Mining with Jinh...
Today, in the second episode of our re:Invent series, we’re joined by Jinho Choi, assistant professor of computer science at Emory University. Jinho presented at the conference on ELIT — a cloud-based NLP platform — which is short for Evolution...
46 min
570
re:Invent Roundup Roundtable 2018 with Dave McC...
For today’s show, I’m excited to present our second annual re:Invent Roundtable Roundup. This year I’m joined by my friends Dave McCrory, VP of Software Engineering at Wise.io at GE Digital, and Val Bercovici, Founder and CEO of Pencil...
66 min
571
Knowledge Graphs and Expert Augmentation with M...
Today we’re joined by Marisa Boston, Director of Cognitive Technology in KPMG’s Cognitive Automation Lab. Marisa and I caught up to discuss some of the ways that they’re using AI to build tools that help augment the knowledge of KPMG’s teams...
45 min
572
ML/DL for Non-Stationary Time Series Analysis i...
Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. NMRQL, based in Stellenbosch, South Africa, is an investment management firm that uses machine learning algorithms to make adaptive, unbiased, scalable, and testable trading...
57 min
573
Industrializing Machine Learning at Shell with ...
In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, Daniel and I explore the evolution of analytics and data science at Shell, and cover a ton of interesting...
44 min
574
Resurrecting a Recommendations Platform at Comc...
In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. Leemay spoke at the Strange Loop conference a few months ago on “Resurrecting a recommendations...
46 min
575
Productive Machine Learning at LinkedIn with Be...
In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI automation platform, Pro-ML, which was built with...
46 min