
George Mathew
Managing Director at Insight Partners, focused on venture stage investments in AI, ML, analytics, and data companies. He brings extensive experience in scaling high-growth technology startups and holding senior leadership positions at various tech companies.
Top 3 podcasts with George Mathew
Ranked by the Snipd community

37 snips
Mar 18, 2025 • 1h 5min
From Rules to Reasoning Engines // George Mathew // #296
George Mathew, Managing Director at Insight Partners, is a veteran in venture stage investments in AI and data companies. He discusses the rapid evolution of AI, spotlighting game-changers like ChatGPT and the shift from rule-based systems to AI-driven reasoning engines. George highlights the significance of high-quality data and innovative models like Deep SEQ. He envisions AI fundamentally altering business operations while navigating the balance between creativity and reliability in AI outputs, and shares insights on future integrated AI assistants.

12 snips
Jan 9, 2025 • 1h 9min
Ep 12: George Mathew, MD at Insight Partners: The Recipe for Building Generational Companies
George Mathew, managing director at Insight Partners and former leader at SAP and Salesforce, shares insights from his impressive career. He discusses the importance of resilience and learning from failures in leadership. George delves into how AI is reshaping business models and offers strategies for startups to thrive in competitive environments. He shares his experience coaching founders to excel, emphasizing the balance between product development and commercialization, and the transformative role of AI in business operations.

Aug 18, 2023 • 46min
Building LLM Products Panel // LLMs in Production Conference Part II
Panelists George Mathew, Asmitha Rathis, Natalia Burina, and Sahar Mor discuss building products with LLMs, emphasizing transparency, control, and explainability. They explore the challenges of prompting in language models and provide tips for avoiding impersonation and hallucination. They highlight the importance of feedback loops in improving language models and discuss the economic components of using APIs and inference calls. The panel concludes with excitement about the conference and promotion of their own podcast.