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
Yesterday
Responsible AI and the Future of Machine Learning
In this episode of the Data Science Salon Podcast, we sit down with Swati Tyagi, an AI/ML expert and responsible AI advocate. With deep expertise in large language models (LLMs), generative AI, and AI automation, Swati has led AI-driven innovation in FinTech, healthcare, and fina ... Show More
28m 16s
Aug 19
Transforming the Workplace: Practical Strategies for Organizational Success with Melissa Swift
In this episode of the Data Science Salon Podcast, we sit down with Melissa Swift, Founder & CEO of Anthrome Insight, and expert in organizational transformation. With over a decade of experience, Melissa partners with organizations to tackle complex challenges using data analyti ... Show More
23m 8s
Aug 5
Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion
DSS Podcast Episode 53: Empowering Change: Neha Mehta’s Vision for FinTech, Sustainability & Financial Inclusion In this episode of the Data Science Salon Podcast, we sit down with Neha Mehta, a globally recognized FinTech leader, AI expert, and sustainability advocate. As the Fo ... Show More
32m 23s
Feb 2025
DeepSeek: The Game-Changer in AI and the Impact on Cybersecurity
In this episode of Cybersecurity Today, host Jim Love dives deep into the latest advancements in AI technology with a focus on the new open-source model, DeepSeek, from China. Love discusses the significant cost differences in training and running this model compared to competito ... Show More
48m 19s
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
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, over time, red ... Show More
31m 45s
Nov 2024
AI in Action: Project Synapse With Marcel Gagne and John Pinard. Cyber Security Today Weekend Edition for November 16, 2024
Cybersecurity Today - Weekend Edition: Project Synapse, AI in Action (Episode 2) In this episode of Cybersecurity Today with host Jim Love, we dive into the intersection of Artificial Intelligence (AI) and cybersecurity, continuing our exploration in the series Project Synapse. J ... Show More
50m 43s
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 20
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