AI in Action

Wendi Whitmore, Senior Vice President of Unit 42 at Palo Alto Networks, is a recognized leader in cybersecurity, tackling significant data breaches. She discusses the rise of agentic AI and its impact on cybersecurity, highlighting how it expands the attack surface and presents new vulnerabilities. Wendi emphasizes the urgent need for defenders to adopt AI-driven strategies to keep pace with sophisticated cybercriminals. She also delves into voice modulation threats and the financial toll of breaches, calling for robust authentication and awareness in organizations.

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. 

Donna Dillenberger is an IBM Fellow and CTO focused on Hybrid Cloud Systems Research, while Rosalind Radcliffe is an IBM Fellow dedicated to CIO Platform Transformation. They discuss how mainframes, often seen as outdated, are crucial in today's AI strategies. Both share their journeys in a male-dominated field and the importance of women in tech. With insights on mentorship and the environmental benefits of mainframes coupled with AI integration, they inspire the next generation to pursue careers in technology and emphasize ongoing learning.

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.

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.

Grammy Award-Winning Artist NE-YO and Ed Ulbrich, Chief Content Officer of Metaphysic, talk about AI ethics and risks when using AI to create art and entertain. Is AI in art about scaling and amplifying creativity, or just laziness? Can we maintain the artist to person connection when using their likeness to perform? Either way, AI is being used in art like any other technological tool, and we need the guardrails to keep what’s good.

What if instead of focusing on productivity, we used AI technology to solve our most pressing, human problems like where to find medicine or how to avoid the collapse of the banking system in Ukraine? Listen to James Hodson, Co-Founder and CEO of AI for Good, talk about how AI technology can positively transform communities, but only if we provide the necessary infrastructure and education to get people on board.    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.

Can AI agents can make you better at your job? Listen to Ethan Mollick, Co-Director of Generative AI Lab at Wharton, for tips on how to use AI agents to be more creative and efficient. 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.

While 81% of executives stress the importance of secure and trustworthy AI, only 24% of AI projects are secure. Is it ever ok to prioritize innovation over security when it comes to AI? Listen to Chris Thompson, Global Head of IBM X-Force Red, and Moumita Saha, Senior Security Architect at AWS talk about the generative AI attack surfaces, risks and how we can secure AI models.  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. 

Building an AI pilot is relatively easy, but implementing it in a real-life environment is much, much harder. In real life, costs, data quality and user experience become difficult to control. Listen to guests Anupam Singh, VP of Engineering at Roblox and Nick Renotte, Chief AI Engineer at IBM, talk about why 4 out of 5 of AI pilots fail and how you can avoid yours being one of them.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