AI in Action

Finding a house that matches your budget and style doesn't have to be a struggle. All you need is the right AI tool that can open the door to your dream abode. And that's precisely what Redfin is offering with their AI-driven real estate solutions. In this episode of the AI in Action podcast, Ariel Dos Santos, SVP of Product and Design at Redfin, shares how they're using AI to transform the house-hunting process. Redfin is tapping into vast amounts of data to understand buyers' preferences and provide tailored recommendations, making it easier for people to make their next big move. Tune in for a detailed insight into Redfin's AI vision—and how it's going to make the home search process smarter, smoother and a lot more fun.

In today's dynamic and fast-paced world, focusing solely on productivity won't cut it. C-suite leaders need to step up and drive strategic business transformation with the power of AI agents. Joining us on the AI in Action podcast this time is none other than Allie K. Miller, CEO of Open Machine. In the episode, Allie shares powerful insights on how agentic AI is revolutionizing business operations—and what C-suite leaders must do to stay ahead of the curve. Watch the full discussion to learn why agentic AI isn't an upgrade—but a game-changer. Also, while employees must upskill to thrive in the AI era, leaders have a greater responsibility: adopting AI agents without disrupting the balance between technology and humans. 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.

AI is changing the dynamics of every field—and sales is no exception. But what does that look like in action? In this episode, Morgan Ingram, founder and CEO of AMP Creative, explains how AI substantially increases the active selling time of sales professionals by automating the grunt work. For example, AI slashes the proposal creation time from hours to minutes. And that's not it—AI also helps craft sharper, more personalized sales messages that improve response rates and drive higher revenue.Watch the full discussion on how you can AI-optimize your sales workflow, empowering sellers to focus on what matters—closing deals and boosting the bottom line.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.

AI will transform investment management over the next 5–10 years. How ready are you for this change? Find the answer in the new AI in Action podcast episode, where we discuss AI in finance with Ron Insana, CEO of iFi AI and longtime CNBC contributor. With more than 4 decades of experience, Ron has seen major shifts in the financial services industry. And now with generative AI (gen AI), he's witnessing finance undergo another massive transformation. Tune in to explore how gen AI is revolutionizing financial services, enhancing productivity and reshaping the investment management landscape. Learn how you can harness AI to future-proof your finance organization. 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. AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdnXVJ

In this episode of the AI in Action podcast, our host, David Levy, is joined by Steve Moss, Director of watsonx Americas at IBM, to discuss HR, agentic AI, and the real-world impact of IBM's transformation journey. Dive into this insightful conversation to get an insider's look at how IBM has integrated AI agents into the HR workflow—and how you can harness their power, too. Agentic AI drives strategic shifts, boosts productivity and scales teams effectively. Learn what it takes to advance from traditional AI to agentic AI in HR and beyond. 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.

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.

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.

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.

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

There's a vanguard leading the charge to make AI accessible to all, and others are still catching up. Yet, amidst this progress, a concerning reality exists: a gender gap is forming in the field of AI. Listen to Reshma Saujani, Founder & CEO of Girls Who Code, talk about “aspirational AI” and what we can do to close the gap.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

Generative AI is expensive, and it gets even more expensive as you scale. Find out about the hidden costs of AI, like AI integration, data, and AI security with host Albert Lawrence, Rebecca Gott, IBM Distinguished Engineer and CTO of Power Platform, and Penny Madsen, IDC Senior Research Director of Cloud and Edge Services. Listen to see how you can make your AI project returns justify the cost, and how an AI center of excellence can help. 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.

Virtual agents have been part of our lives for a long time, but can they replace humans as they become faster and more accurate with generative AI? Listen to host Albert Lawrence discuss the evolution of AI agents with Susan Emerson, Vice President of Product, AI and Data at Salesforce and Nick Renotte, Chief AI Engineer at IBM Client Engineering.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.

Gen AI is changing life for everyone, even for those creating it, aka developers. In this episode, host Albert Lawrence and IBM Developer Advocate JJ Asghar discuss why “open” is so important, AI security, governance, and how to get started as an AI developer. Should you build your own foundation model? Are open-source AI models more secure? Listen for more advice on how to get the most from 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.

Data driven decision making exceeds any intuition in fantasy football (or any other sport). When you get your data ready the right way, you can use AI model so gain powerful insights. Insights that can help you drive growth—or win at fantasy football. In this episode, ESPN host Mike Greenberg joins podcast host Albert Lawrence and Elizabeth O'Brien, Senior Executive of Sports and Entertainment Sponsorship Marketing at IBM, to discuss the importance of making game decisions based on data and how generative AI is changing the game in the fantasy football space. Learn about the powerful AI models co-created by IBM and ESPN that transform football data into insights to help fantasy team owners set their lineups.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.

Generative AI can generate code, but without human oversight it can be extremely difficult to modify and update. Host Albert Lawrence discusses with Miha Kralj, Global Senior Partner of IBM Hybrid Cloud Services and David Levy, Advisory Technology Engineer at IBM Client Engineering discuss the pitfalls of using generative AI to write code, and how to solve for them.

Do you really need a human on the line, or do you just need to give virtual agents a chance? Listen to host Albert Lawrence, Jeannie Walters, customer experience speaker and trainer, and Morgan Carroll, Senior AI engineer at IBM, dive into how generative AI is making human and virtual agents better at their job. The future of customer service is personalized, pro-active, and even empathetic.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 help build a world where your resumes don't end up in a black hole and companies can find the right candidates easily? Listen to host Albert Lawrence, Jon Lester, VP of HR, technology, data and AI at IBM, and David Levy, advisory technology engineer at IBM, talk about how you can use AI and data ethically to make recruiting more efficient and human. 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.

The key to harnessing AI's full potential is integrating it across all your data – whether on-prem, in the cloud, or at the edge. In this episode, our host Albert Lawrence and guests Hillery Hunter, CTO for IBM Infrastructure and GM of Innovation, and Ash Minhas, Engagement Leader at IBM Innovation Studio, explore how to overcome the complexities of disparate data environments. Learn about the impact of optimizing your existing technology, the resulting business outcomes, like reduced latency and faster fraud detection, and how a hybrid approach can enable you to build and deploy effective 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.

AI can write code, your emails, and respond to most customer questions. So, what's left for humans to do? In this episode of AI in Action, host Albert Lawrence is joined by Jessica Rockwood, VP of client engineering at IBM, and Morgan Carroll, Senior AI Engineer in Client Engineering at IBM, to talk about how you can successfully free yourself from grunt work, and the data you need to get there. 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.

In this new series, host Albert Lawrence will be joined by AI experts – technologists and business leaders alike to explore what generative AI can and can't do, how it actually gets built, responsible ways to put it into practice, and the real world business problems and solutions we'll encounter along the way.