AI in Action

On AI in Action, IBM researcher Campbell Watson explains how foundation models are accelerating discovery across Earth and space science. Moving beyond traditional numerical methods, his team applies concepts from large language models to multimodal satellite data to build powerful, open-source AI systems. In collaboration with NASA and the European Space Agency, they have developed foundation models for Earth observation, weather and heliophysics. They are using AI for sustainability use cases, such as flood detection, biodiversity monitoring and solar flare forecasting. Designed for hybrid cloud environments and even deployed in orbit, these models point toward a future where AI and quantum computing unlock deeper planetary insights.

The Recording Academy is thoughtfully integrating generative AI to improve efficiency, accuracy and fan engagement across the GRAMMYs. David Gregory, CIO of the Recording Academy, describes using AI solutions, machine learning and large language models to streamline the GRAMMY Awards submission and voting process while preserving human oversight and strong AI governance. Fan-facing tools like GRAMMY IQ, an AI-powered chatbot, enhance grammy.com through interactive trivia and historical insights. Collaborating with IBM and others, the Recording Academy is exploring AI agents and advanced analytics across archives, membership platforms and operations. Their overall vision is to drive innovation balanced with responsibility, creativity and trust.0:00 Intro05:01 How GRAMMY IQ elevates the fan experience06:43 Beyond GRAMMY IQ: The future of AI at the GRAMMYs12:10 Leading the AI initiatives with caution and clarity17:43 Driving member value with AI and digital transformation21:54 Operationalizing AI across the Recording Academy25:08 What every CIO should know about getting started with AI27:14 What’s next for AI at the Recording AcademyThe 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 AI in Action episode, David Levy talks with Yashodha Bhavnani, Head of AI at Box, about how enterprises can turn massive volumes of unstructured data into high-value intelligence. Yashodha explains how Box is embedding AI into its content platform for easier data management without compromising security or governance. She shares real-world examples of enterprise content management and explains how agentic AI powers smarter workflows. The conversation also covers the role of IBM watsonx® in Box AI and what it takes to bring AI from experimentation into production.

Can agentic AI solve the scalability challenge in wealth management while expanding access to underserved communities? Ramona Ortega believes it can, but only with the right foundation. She explains how WealthBuild has moved from basic chatbots to RAG and now to agentic workflows that can deliver accurate and personalized guidance at scale. In her opinion, the real blockers aren’t algorithms but messy data, governance gaps and enterprise-grade security. Since traditional financial services can’t reach many everyday consumers, she partners with community banks to close the gap. For her, the future lies where AI, APIs and blockchain meet, opening the door to accessible and democratized financial advice.Explore the podcast → https://ibm.biz/BdbuaR

Explore the podcast → https://ibm.biz/Bdbvh4AI can drive transformation or create new vulnerabilities. The difference lies in how we lead. In this episode of AI in Action, former CISA Director Jen Easterly joins David Levy to discuss the intersection of AI governance and cybersecurity, and how leadership and accountability shape both. Watch the episode to understand how security guardrails, robust systems, and a culture that values safety as much as speed can help organizations innovate boldly yet responsibly. Because real AI-based innovation isn’t just smart. It’s also safe.Timestamps:0:00 Intro0:55 Jen Easterly’s journey from national security to AI governance2:28 How imagination shapes innovation and risk4:06 Innovation under pressure in the field7:04 The power of data and information-driven defense8:25 Agentic AI is transforming both defense and attack9:45 Making security part of software design13:50 Accountability and leadership in AI governance17:39 Creating a culture that values safety and innovation24:17 Collaboration, resilience and the future of AI security28:04 Emerging AI threats and the evolving security landscape30:12 Key takeaways on leadership, accountability and trustAI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdbSUvThe 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.

Most companies struggle with AI. And it’s usually not because the technology doesn’t work, but because the right adoption approach isn’t followed. As Conor Grennan, Chief AI Architect at New York University, puts it, treating AI like a digital transformation initiative is a recipe for failure. What actually works is when leaders move beyond rolling out AI tools and drive the behavioral shift that sets clear expectations and enables real change.When leadership teams get the people part right, they can avoid the usual mistakes, align teams on what matters and turn AI into real business results.Learn about AI agents and application architecture → https://ibm.biz/BdbR2B 0:00 Intro04:52 AI adoption is a behavioral challenge07:55 AI isn’t digital transformation 11:30 The risk of using AI agents as mere replacements16:31 Finding the AI champion who drives change18:18 The shift from commands to conversations22:39 The foundation for scaling AI workflows32:22 Why AI agents aren’t just machines33:15 Trust, hallucinations and the data problemThe 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/BdbdvS

AI in retail is no longer a buzzword. It’s a reality, and Tractor Supply Company has been one of the pioneers in driving it forward.In this conversation, Glenn Allison, VP of AI platforms at Tractor Supply Company, explains how AI communicators, mobile apps and computer vision are making life easier for teams and creating a truly AI-enabled customer experience.Watch the episode to witness generative AI in action. Discover how it’s reshaping workflows, powering decisions and fueling innovation across retail. Timestamps:0:00 Intro03:34 Balancing AI innovation and operations06:09 AI agents transforming retail12:54 Scaling up for AI17:25 Continuous learning in the age of AI19:56 Boosting ROI through AI22:40 The workforce response to AI 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 #AIinRetail #TractorSupply #ArtificialIntelligence #CustomerExperience #Innovation #GlennAllison #DavidLevy

AI is using more energy than ever, but it’s also making us more productive and efficient. So how can we dial down energy consumption without losing the momentum? Let’s find out from Joseph Majkut, Director of the Energy Security and Climate Change Program at the Center for Strategic and International Studies (CSIS). In this episode of AI in Action, Joseph talks about the critical intersection of AI and energy, explaining the impact of AI on power grids and discussing the potential solutions for efficient power generation. Watch the full episode to discover how AI poses both challenges and opportunities for energy consumption, focusing on generative AI data centers, energy efficiency, and the role of nuclear power.Timestamps:0:00 Intro06:18 AI demand versus energy supply09:18 Easing energy demand through infrastructure and operations12:44 Reframing energy use in AI workflows15:46 The most compelling aspect of how AI meets energy19:13 Advice for leaders on using AI without overloading the grid

Operational disruptions don’t come unannounced. There are always early warning signs—if only you have the right observability solution to catch them before they snowball into costly outages. In this episode of the AI in Action podcast, Vikram Murali, VP of Software Development for IBM Automation, explains how continuous observability has taken the baton from traditional monitoring, giving a new meaning to operational resilience. Observability has transformed reactive measures into proactive steps, leading to more seamless operations and fewer costly disruptions. Catch the full discussion to learn how you can run your business smoothly by tapping into the combined power of observability, automation and remediation. 0:00 Intro03:35 How do AI solutions affect observability?07:35 How much visibility does observability provide?12:26 The difference between good and bad observability tools20:21 Choosing the right data for the observability tool23:42 Balancing power and control in agentic frameworks26:33 Getting started with observability 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 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 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

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. 

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.