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PODCAST · technology

How AI Happens

by Sama

How AI Happens features experts and practitioners explaining their work at the cutting edge of Artificial Intelligence. Tune in to hear AI Researchers, Data Scientists, ML Engineers, and the leaders of today’s most exciting AI companies explain the newest and most challenging facets of their field. Powered by Sama.

Publisher-supplied feed metadata · PodParley refreshed May 5, 2025 · Source feed

Episodes

  1. Amdocs Group President Anthony Goonetilleke

    The rapid evolution of technology excites Anthony, especially in AI. User preferences are shifting towards more human-like AI interactions. Empathy in AI is crucial for better customer service experiences. The partnership between Amdocs and NVIDIA emphasizes the importance of software efficiency...

  2. Physics & Machine Health with Algorithms Lead Mica Rubinson, Ph.D

    Mica shares the methods behind Augury’s fault testing processes, why they use the highest quality data available, how in-house experts help them filter their data reliably, and their approach to communicating with customers. Our conversation also explores the balance between edge computing and...

  3. AWS Director of Generative AI Apps Srini Iragavarapu

    Srini highlights the importance of integrating these agents into real-world applications, enhancing productivity and user experiences across industries. Srini also delves into the challenges of building reliable, ethical, and secure AI systems while fostering developer innovation. His insights...

  4. Exploring Retail in AI with Freshworks CMO Mika Yamamoto & Sama VPM Lisa Avvocato

    We explore the current trends of AI-based solutions in retail, what has driven its adoption in the industry, and how AI-based customer service technology has improved over time. We also discuss the correct mix of technology and humans, the importance of establishing boundaries for AI, and why it...

  5. eBay Chief AI Officer Nitzan Mekel-Bobrov

    We hear about Nitzan’s AI expertise, motivation for joining eBay, and approach to implementing AI into eBay's business model. Gain insights into the impacts of centralizing and federating AI, leveraging generative AI to create personalized content, and why patience is essential to AI development....

  6. Unilever Head of Data Science Dr. Satyajit Wattamwar

    Satya unpacks how Unilever utilizes its database to inform its models and how to determine the right amount of data needed to solve complex problems. Dr. Wattamwar explains why contextual problem-solving is vital, the notion of time constraints in data science, the system point of view of…

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  7. Vanguard Principal of Center for Analytics & Insights Jing Wang

    Jing explains how Vanguard uses machine learning and reinforcement learning to deliver personalized "nudges," helping investors make smarter financial decisions. Jing dives into the importance of aligning AI efforts with Vanguard’s mission and discusses generative AI’s potential for boosting...

  8. Sema4 CTO Ram Venkatesh

    Key Points From This Episode: Ram Venkatesh describes his career journey to founding Sema4.ai. The pain points he was trying to ease with Sema4.ai. How our general approach to big data is becoming more streamlined, albeit rather slowly. The ins and outs of Sema4.ai and how it serves its clients....

  9. Unpacking Meta's SAM-2 with Sama Experts Pascal & Yannick

    Pascal & Yannick delve into the kind of human involvement SAM-2 needs before discussing the use cases it enables. Hear all about the importance of having realistic expectations of AI, what the cost of SAM-2 looks like, and the the importance of humans in LLMs. Key Points From This Episode:...

  10. Qualcomm Senior Director Siddhika Nevrekar

    Today we are joined by Siddhika Nevrekar, an experienced product leader passionate about solving complex problems in ML by bringing people and products together in an environment of trust. We unpack the state of free computing, the challenges of training AI models for edge, what Siddhika hopes to...

  11. Block Developer Advocate Rizel Scarlett

    Today we are joined by Developer Advocate at Block, Rizel Scarlett, who is here to explain how to bridge the gap between the technical and non-technical aspects of a business. We also learn about AI hallucinations and how Rizel and Block approach this particular pain point, the burdens of...

  12. dbt Labs Co-Founder Drew Banin

    Key Points From This Episode: Drew and his co-founders’ background working together at RJ Metrics. The lack of existing data solutions for Amazon Redshift and how they started dbt Labs. Initial adoption of dbt Labs and why it was so well-received from the very beginning. The concept of a semantic...

  13. Saidot CEO Meeri Haataja

    In this episode, you’ll hear about Meeri's incredible career, insights from the recent AI Pact conference she attended, her company's involvement, and how we can articulate the reality of holding companies accountable to AI governance practices. We discuss how to know if you have an AI problem,...

  14. FICO Chief Analytics Officer Dr. Scott Zoldi

    In this episode, Dr. Zoldi offers insight into the transformative potential of blockchain for ensuring transparency in AI development, the critical need for explainability over mere predictive power, and how FICO maintains trust in its AI systems through rigorous model development standards. We...

  15. Lemurian Labs CEO Jay Dawani

    Jay breaks down the critical role of software optimizations and how they drive performance gains in AI, highlighting the importance of reducing inefficiencies in hardware. He also discusses the long-term vision for Lemurian Labs and the broader future of AI, pointing to the potential…

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  16. Intel VP & GM of Strategy & Execution Melissa Evers

    Melissa explains the importance of giving developers the choice of working with open source or proprietary options, experimenting with flexible application models, and choosing the size of your model according to the use case you have in mind. Discussing the democratization of technology, we...

  17. Synopsys VP of AI Thomas Andersen

    VP of AI and ML at Synopsys, Thomas Andersen joins us to discuss designing AI chips. Tuning in, you’ll hear all about our guest’s illustrious career, how he became interested in technology, tech in East Germany, what it was like growing up there, and so much more! We delve into his company,...

  18. Xactly SVP Engineering Kandarp Desai

    Developing AI and generative AI initiatives demands significant investment, and without delivering on customer satisfaction, these costs can be tough to justify. Today, SVP of Engineering and General Manager of Xactly India, Kandarp Desai joins us to discuss Xactly's AI initiatives and why…

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  19. AI Industry Leader Srujana Kaddevarmuth

    Srujana is Vice President and Group Director at Walmart’s Machine Learning Center of Excellence and is an experienced and respected AI, machine learning, and data science professional. She has a strong background in developing AI and machine learning models, with expertise in natural language...

  20. UPS Sr. Director & Head of Innovation Sunzay Passari

    Our guest goes on to share the different kinds of research they use for machine learning development before explaining why he is more conservative when it comes to driving generative AI use cases. He even shares some examples of generative use cases he feels are worthwhile. We hear about how…

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  21. Google DeepMind Research Director Dr. Martin Riedmiller

    Martin shares what reinforcement learning does differently in executing complex tasks, overcoming feedback loops in reinforcement learning, the pitfalls of typical agent-based learning methods, and how being a robotic soccer champion exposed the value of deep learning. We unpack the advantages of...

  22. LiveX Chief AI Officer, President, & Co-Founder Jia Li

    Jia shares the kinds of AI courses she teaches at Stanford, how students are receiving machine learning education, and the impact of AI agents, as well as understanding technical boundaries, being realistic about the limitations of AI agents, and the importance of interdisciplinary collaboration....

  23. Zapier Lead AI PM Reid Robinson

    Key Points From This Episode: Reid Robinson's professional background, and how he ended up at Zapier. What he learned during his year as an NFT founder, and how it serves him in his work today. How he gained his diverse array of professional skills. Whether one can differentiate between AI and…

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  24. Leveraging Technology to Preserve Creativity with Justin Kilb

    In this episode of How AI Happens, Justin explains how his project, Wondr Search, injects creativity into AI in a way that doesn’t alienate creators. You’ll learn how this new form of AI uses evolutionary algorithms (EAs) and differential evolution (DE) to generate music without learning from or...

  25. Gong VP of AI Platform Division Jacob Eckel

    Jacob shares how Gong uses AI, how it empowers its customers to build their own models, and how this ease of access for users holds the promise of a brighter future. We also learn more about the inner workings of Gong and how it trains its own models, why it’s not too interested in tracking soft...

  26. Brilliant Labs CEO Bobak Tavangar

    Bobak further opines on the pros and cons of Perplexity and GPT 4.0, why the technology uses both models, the differences, and the pros and cons. Finally, our guest tells us why Brilliant Labs is open-source and reminds us why public participation is so important. Key Points From This Episode:...

  27. Dremio Tech Evangelist Andrew Madson

    Andrew shares how generative AI is used by academic institutions, why employers and educators need to curb their fear of AI, what we need to consider for using AI responsibly, and the ins and outs of Andrew’s podcast, Insight x Design. Key Points From This Episode: Andrew Madson explains what a...

  28. Theory Ventures General Partner Tom Tunguz

    Tom shares further thoughts on financing AI tech venture capital and whether or not data centers pose a threat to the relevance of the Cloud, as well as his predictions for the future of GPUs and much more. Key Points From This Episode: Introducing Tomasz Tunguz, General Partner at Theory…

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  29. Teaching Machines to Smell with Theta Diagnostics CTO Kordel France

    Kordel is the CTO and Founder of Theta Diagnostics, and today he joins us to discuss the work he is doing to develop a sense of smell in AI. We discuss the current and future use cases they’ve been working on, the advancements they’ve made, and how to answer the question “What is smell?” in the...

  30. StoneX Group Director of Data Science Elettra Damaggio

    After describing the work done at StoneX and her role at the organization, Elettra explains what drew her to neural networks, defines data science and how she overcame the challenges of learning something new on the job, breaks down what a data scientist needs to succeed, and shares her thoughts…

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  31. AWS Director of Product Management Mike Miller

    Mike Miller is the Director of Project Management at AWS, and he joins us today to share about the inspirational AI-powered products and services that are making waves at Amazon, particularly those with generative prompt engineering capabilities. We discuss how Mike and his team choose which...

  32. Carrier Head of AI Seth Walker

    Key Points From This Episode: Welcoming Seth Walker to the podcast. The importance of being agile in AI. All about Seth’s company, Carrier, and what they do. Seth tells us about his background and how he ended up at Carrier. How Seth goes about unlocking the power of AI. The different levels of...

  33. Google Cloud's VP Global AI Business Philip Moyer

    Philip recently had the opportunity to speak with 371 customers from 15 different countries to hear their thoughts, fears, and hopes for AI. Tuning in you’ll hear Philip share his biggest takeaways from these conversations, his opinion on the current state of AI, and his hopes and predictions for...

  34. Meta VP of AI Research Joelle Pineau

    Joelle further discusses the relationship between her work, AI, and the end users of her products as well as her summation of information modalities, world models versus word models, and the role of responsibility in the current high-stakes of technology development. Key Points From This Episode:...

  35. Alberta Machine Intelligence Institute Product Owner Mara Cairo

    Key Points From This Episode: Amii’s machine learning project management tool: MLPL. Amii’s ultimate goal of building capacity and how it differs from an agency model. Asking the right questions to ascertain the appropriate use for AI. Instances where AI is not a relevant solution. Common...

  36. 10 Years of FAIR at Meta with Sama Director of ML Jerome Pasquero

    Jerome discusses Meta's Segment Anything Model, Ego Exo 4D, the nature of Self Supervised Learning, and what it would mean to have a non-language based approach to machine teaching. For more, including quotes from Meta Researchers, check out the Sama Blog

  37. RoviSys Director of Industrial AI Bryan DeBois

    Bryan discusses what constitutes industrial AI, its applications, and how it differs from standard AI processes. We explore the innovative process of deep reinforcement learning (DRL), replicating human expertise with machines, and the types of AI approaches available. Gain insights into the...

  38. ML Pulse Report with Voxel51 CSO Jason Corso and Sama VP Duncan Curtis

    2023 ML Pulse Report Joining us today are our panelists, Duncan Curtis, SVP of AI products and technology at Sama, and Jason Corso, a professor of robotics, electrical engineering, and computer science at the University of Michigan. Jason is also the chief science officer at Voxel51, an AI…

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  39. AMD Senior Director of AI Software Ian Ferreira

    Sama 2023 ML Pulse Report ML Pulse Report: How AI Happens Live Webinar AMD's Advancing AI Event Our guest today is Ian Ferreira, the Chief Product Officer for Artificial Intelligence over at Core Scientific until they were purchased by his current employer Advanced Micro Devices, AMD, where he is...

  40. GM for Amazon CodeWhisperer Doug Seven

    Generative AI is becoming more common in our lives as the technology grows and evolves. There are now AI companions to help other AI models execute their tasks more efficiently, and Amazon CodeWhisperer (ACW) is among the best in the game. We are joined today by the General Manager of Amazon...

  41. Bell Senior Data Scientist Dalia Shanshal

    In today’s episode, we are joined by Dalia Shanshal, Senior Data Scientist at Bell, Canada's largest communications company that offers advanced broadband wireless, Internet, TV, media, and business communications services. With over five years of experience working on hands-on projects, Dalia…

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  42. AgriSynth Founder & CEO Colin Herbert

    EXAMPLE: AgriSynth Synthetic Data-- Weeds as Seen By AI Data is the backbone of agricultural innovation when it comes to increasing yields, reducing pests, and improving overall efficiency, but generating high-quality real-world data is an expensive and time-consuming process. Today, we are…

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  43. Data Relish Founder Jennifer Stirrup

    Jennifer is the founder of Data Relish, a boutique consultancy firm dedicated to providing strategic guidance and executing data technology solutions that generate tangible business benefits for organizations of diverse scales across the globe. In our conversation, we unpack why a data platform…

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  44. BNY Mellon AI Hub Managing Director Michael Demissie

    Joining us today to provide insight on how to put together a credible AI solutions team is Mike Demissie, Managing Director of the AI Hub at BNY Mellon. We talk with Mike about what to consider when putting together and managing such a diverse team and how BNY Mellon is implementing powerful AI…

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  45. Mercedes-Benz Executive Manager for AI Alex Dogariu

    Mercedes-Benz is a juggernaut in the automobile industry and in recent times, it has been deliberate in advancing the use of AI throughout the organization. Today, we welcome to the show the Executive Manager for AI at Mercedes-Benz, Alex Dogariu. Alex explains his role at the company, he tells…

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  46. Watsonx.ai with IBM VP Data & AI Tarun Chopra

    Tarun dives into the game-changing components of Watsonx, before delivering some noteworthy advice for those who are eager to forge a career in AI and machine learning. Key Points From This Episode: Introducing Tarun Chopra and a brief look at his professional background. His intellectual diet:...

  47. Veritone Head of Product & Engineering Chris Doe

    Creating AI workflows can be a challenging process. And while purchasing these types of technologies may be straightforward, implementing them across multiple teams is often anything but. That’s where a company like Veritone can offer unparalleled support. With over 400 AI engines on their...

  48. Microsoft Technical Strategist Valeria Sadovykh, PhD

    AI is an incredible tool that has allowed us to evolve into more efficient human beings. But, the lack of ethical and responsible design in AI can lead to a level of detachment from real people and authenticity. A wonderful technology strategist at Microsoft, Valeria Sadovykh, joins us today on…

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  49. Gradient Ventures Founder Anna Patterson

    Key Points From This Episode: She shares her professional journey that eventually led to the founding of Gradient Ventures. How Anna would contrast AI Winter to the standard hype cycles that exist. Her thoughts on how the web and mobile sectors were under-hyped. Those who decide if something…

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  50. Wayfair Director of Machine Learning Tulia Plumettaz

    Wayfair uses AI and machine learning (ML) technology to interpret what its customers want, connect them with products nearby, and ensure that the products they see online look and feel the same as the ones that ultimately arrive in their homes. With a background in engineering and a passion for…

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ABOUT THIS SHOW

How AI Happens features experts and practitioners explaining their work at the cutting edge of Artificial Intelligence. Tune in to hear AI Researchers, Data Scientists, ML Engineers, and the leaders of today’s most exciting AI companies explain the newest and most challenging facets of their field. Powered by Sama.

HOSTED BY

Sama

Frequently Asked Questions

How many episodes does How AI Happens have?

How AI Happens currently has 122 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is How AI Happens about?

How AI Happens features experts and practitioners explaining their work at the cutting edge of Artificial Intelligence. Tune in to hear AI Researchers, Data Scientists, ML Engineers, and the leaders of today’s most exciting AI companies explain the newest and most challenging facets of their field....

How often does How AI Happens release new episodes?

How AI Happens publishes regularly with 122 episodes available. Check the episode list for the typical release schedule.

Where can I listen to How AI Happens?

You can listen to How AI Happens on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts How AI Happens?

How AI Happens is created and hosted by Sama.
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