In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fair and reliable ML models, emphasizing the importance of interpretability and tr ... Show More
Feb 17
Bridging Technology and Business: Operationalizing AI
Vaishali shares her experience leading global data teams, partnering with executive leadership, and building strategies that connect cutting-edge technology to real business value. We explore her insights on operationalizing AI, scaling analytics across enterprises, and overcomin ... Show More
38m 26s
Feb 3
Beyond the Model: Building Scalable, Responsible AI Systems
Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows.Key Highlights:Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multim ... Show More
27m 47s
Jan 6
Beyond Checklists: Evaluating Conversational AI
In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools.Carlos shares why traditional checklist-based e ... Show More
22m 52s
Jul 2024
#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at Outerbounds
The role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with ... Show More
48m 44s
Apr 2024
Measuring The Speed of AI Through Benchmarks
<p dir="ltr">David Kanter, Executive Director at MLCommons, discusses the work they're doing with MLPerf Benchmarks, creating the world's first industry standard approach to measuring AI speed and safety. He also shares ways they're testing AI and LLMs for harm, to measure—and, o ... Show More
31m 45s
May 2023
The AI Will See You Now: Exploring Biomedical AI and Google’s Med-PaLM2 With Karan Singhal
What if AI could revolutionize healthcare with advanced language learning models? Sarah and Elad welcome Karan Singhal, Staff Software Engineer at Google Research, who specializes in medical AI and the development of MedPaLM2. On this episode, Karan emphasizes the importance of s ... Show More
42m 48s
Sep 2024
#245 Can We Make Generative AI Cheaper? With Natalia Vassilieva, Senior VP & Field CTO & Andy Hock, VP, Product & Strategy at Cerebras Systems
With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also deliv ... Show More
46m 42s
Sep 2025
Navigating the AI Infrastructure Landscape with Haseeb Budhani
In this episode, Jaeden speaks with Haseeb from Rafay about the challenges and opportunities in AI infrastructure. They discuss the importance of self-service consumption for developers, the complexities of competing with hyperscalers, and the need for secure multi-tenancy in AI ... Show More
18m 35s
Oct 2025
The Impact of AI, from Business Models to Cybersecurity, with Palo Alto Networks CEO Nikesh Arora
Between the future of search, the biggest threats in cybersecurity, and the jobs and platforms of tomorrow, Nikesh Arora sees one common thread connecting and transforming them all—AI. Sarah Guo and Elad Gil sit down with Nikesh Arora, CEO of cybersecurity giant Palo Alto Network ... Show More
58m 21s