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
Jun 24
Architecting AI-Driven Financial Systems: Innovation at the Intersection of Fintech and Emerging Tech
In this episode of the Data Science Salon Podcast, we sit down with Sasibhushan Rao Chanthati, AVP and Senior Software Engineer at T. Rowe Price, where he’s building the future of finance through intelligent, scalable technologies. Sasi specializes in creating secure digital ecos ... Show More
29m 7s
Jun 17
Proactive by Design: How AI Predicts and Prevents Failures
In this episode of the Data Science Salon Podcast, we sit down with Vishnupriya Devarajulu, a Software Engineer specializing in AI- and ML-driven performance optimization for large-scale enterprise systems. With deep expertise in backend engineering, system diagnostics, and intel ... Show More
21m 6s
Jun 10
AI for Good: Innovating People-Centric Solutions
In this episode of the Data Science Salon Podcast, we are joined by Praveena Dhanalakota, the Founder & CEO of Soopra.ai, a San Francisco-based startup that is revolutionizing industries with AI-driven solutions. Praveena is an AI expert, tech evangelist, and a passionate advocat ... Show More
27m 45s
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
Jan 2025
The Role of Analytics in Shaping the Future of MLOps
Sophia Rowland, Senior Product Manager at SAS, discusses her journey from data science to product management at SAS, focusing on the integration of AI and analytics. She explains the concepts of Model Ops and ML Ops, the challenges organizations face in operationalizing machine l ... Show More
32m 42s