CXOTalk: Leadership, AI, and the Digital Economy

Updated: 18 Mar 2025 • 502 episodes
www.cxotalk.com

In-depth conversations on technology and business with senior leaders from top global companies. Hosted by industry analyst Michael Krigsman.

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In episode 873, we dive deep into 5G security with Anand Oswald, Sr. VP and GM of Network Security at Palo Alto Networks. Explore the transformative impact of 5G on industries and how the convergence of technologies like AI and IoT drives 5G digital transformations. Learn about managing sophisticated threats, the impor

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In episode 872 of CXOTalk, we explore the capabilities of AI-powered smartphones in professional photography. Joining us are two former Apple engineers, Ziv Atar and Tom Bishop. They are the minds behind the iconic portrait mode on iPhones and are now the founders of GLASS Imaging. They discuss how neural networks are

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Discover the future of AI startups and enterprise adoption with Arvind Jain, Founder and CEO of Glean, in CXOTalk episode 871. Arvind explains:How AI startups differ from traditional software companiesStrategies for rapid revenue scaling in AI-native businessesKey considerations for CIOs evaluating AI solutionsManaging

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In CXOTalk episode 870, we present an exclusive interview with Jenifer Robertson, the Executive Vice President of Mass Markets at AT&T. With oversight of $100 billion in revenue and 60,000 employees, Jenifer recounts her journey from systems analytics and coding to her current leadership position. The discussion emphas

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Join Michael Krigsman on CXOTalk as leading CIO advisors Tim Crawford and Isaac Sacolick unpack actionable strategies for Chief Information Officers to thrive in the AI era. This episode dives into critical challenges and opportunities, offering insights on:Governance & Data Strategy: Prioritize robust AI governance fr

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In CXOTalk Episode 868, host Michael Krigsman interviews Praveen Akkiraju, Managing Director at Insight Partners, to explore the world of agentic AI. Praveen explains AI agents, their reliance on large language models (LLMs), and how they differ from traditional applications. He discusses AI agents' current state and r

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