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AI in Action

IBM
AI in Action
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  • Agentic AI: The emerging challenge in cybersecurity
    The rise of agentic AI is significantly expanding and widening the attack surface for cybersecurity threats. As AI systems become more capable of autonomous decision-making and action, they simultaneously introduce newer vulnerabilities across workflows, data pipelines and third-party integrations. In this episode, Wendi Whitmore, Senior Vice President of Unit 42 at Palo Alto Networks, shares her views on how agentic AI is redefining the cybersecurity game for both sides: attackers and defenders. Attackers have already started leveraging agentic AI to make the cyberattack process faster and more efficient. Now, the onus is on cyber defenders to quickly harness agentic AI and build security controls that not just match but outpower the speed, sophistication and scale of new age, AI-driven cyberthreats. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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    27:39
  • 2025 Masters insights: Expert Jim “Bones” Mackay talks data and strategy
    Jim "Bones" Mackay has caddied for the best golfers in the world. In his time caddying at the Augusta National tournament, he has seen and overseen thousands of winning shots across the famed Masters course. He has provided some of his firsthand insights, alongside the data collected from 180,000 historical shots over nine years of play, to help the tournament field an AI-driven app. Thanks to the app, fans worldwide can virtually stand on the green alongside the greats and gain insights into the tournament—shot by shot. In this episode, MacKay joins IBM’s Monica Ellingson to share his perspective on the story unfolding at the Masters. Together, they discuss how data-driven analysis and AI-based predictions transform the way players, caddies and fans approach the game. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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    21:20
  • The women pioneering mainframes and AI
    There’s a reason over 70% of Fortune 500 enterprises rely on mainframes to support their core operations. Despite being around since the 1950s, mainframes are not relics of the past, but rather a vital component of AI strategy and implementation. In this episode, Donna Dillenberger, IBM Fellow and CTO of Hybrid Cloud Systems Research, and Rosalind Radcliffe, IBM fellow and CTO for IBM CIO Platform Transformation, discuss how mainframes can be the nerve center that powers AI. They also talk about what it’s like to be a woman working in infrastructure and AI, and provide advice for women looking to break into the industry. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
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    26:29
  • Redefining marketing automation and personalization with generative AI
    How is generative AI changing the world of marketing personalization? Gen AI is a major component in marketing automation today, and it’s important to learn how this form of AI can be used to personalize marketing content without creeping out consumers. In this episode, Emily McReynolds, head of global AI strategy at Adobe, and Pierre Charchaflian, VP senior partner and marketing practice global leader at IBM, talk about how gen AI is changing the game when it comes to personalized marketing content.
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    40:09
  • How the Mayo Clinic's AI medicine app helps in stroke prevention
    The Mayo Clinic used years of data from 600,000 patients to build an AI model that can detect and predict what doctors sometimes cannot. Dr. Guru Kowlgi, a cardiac electrophysiologist at the Clinic, joins us to discuss the complexity of data curation for AI modeling and how that curation is tied to trust.
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    27:18

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About AI in Action

AI in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical use case lens.
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