Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage data at scale. By separating the storage of data from compute, Snowflake has all ... Show More
Jul 2
Alembic and the Future of AI in Marketing - Ep. 263
Tomás Puig, founder and CEO of Alembic, joins the NVIDIA AI Podcast to discuss the intersection of AI, data, and marketing. He shares how Alembic uses advanced mathematics and AI—particularly spiking neural networks and causal inference—to help brands extract actionable insights ... Show More
39m 44s
Jun 25
Hippocratic AI's Munjal Shah on How AI Agents Are Expanding Healthcare Capacity - Ep. 262
Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how optimized AI inference can handle rou ... Show More
21m 49s
Oct 2024
Snowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use cases
In this episode of Gradient Dissent, Snowflake CEO Sridhar Ramaswamy joins host Lukas Biewald to explore how AI is transforming enterprise data strategies.They discuss Sridhar's journey from Google to Snowflake, diving into the evolving role of foundation models, Snowflake’s AI s ... Show More
55m 42s
Jan 2025
3164: Breaking Data Silos: How Hammerspace is Powering AI Storage and Hybrid Cloud
As part of the IT Press Tour in Silicon Valley, I had the opportunity to sit down with David Flynn, CEO of Hammerspace, to explore how the company is redefining the future of enterprise data storage. At a time when AI-driven workloads and hybrid cloud computing are pushing storag ... Show More
24m 26s
Dec 2024
Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)
In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights ... Show More
48m 55s
Feb 2025
The Future of Data Engineering: AI, LLMs, and Automation
Summary
In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large langua ... Show More
59m 39s
Aug 2024
Qlik CEO on Augmenting Data Analytics With AI
AI-fueled product innovation is likely to reset many functions and industries, and companies could look to harness the full power of their data to drive business intelligence. In this episode of the Tech Disruptors podcast, Mike Capone, CEO of Qlik, joins Sunil Rajgopal, senior s ... Show More
40m 42s
Oct 2017
Data science tools and other announcements from Ignite
In this episode, Microsoft's Corporate Vice President for Cloud Artificial Intelligence, Joseph Sirosh, joins host Kyle Polich to share some of the Microsoft's latest and most exciting innovations in AI development platforms. Last month, Microsoft launched a set of three powerful ... Show More
31m 40s
May 2024
Junta Nakai, Head Of Financial Services At Databricks, On Revolutionizing Financial Services Using AI And Data
In this episode of Innovators’ Exchange, our host Hiten Patel meets Junta Nakai, the global head of financial services at Databricks, a data and artificial intelligence (AI) company that offers a cloud-based data intelligence software for more than 10,000 customers. During the di ... Show More
37m 3s
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