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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 Intro 05:01 How GRAMMY IQ elevates the fan experience 06:43 Beyond GRAMMY IQ: The future of AI at the GRAMMYs 12:10 Leading the AI initiatives with caution and clarity 17:43 Driving member value with AI and digital transformation 21:54 Operationalizing AI across the Recording Academy 25:08 What every CIO should know about getting started with AI 27:14 What’s next for AI at the Recording Academy 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 AI in Action episode, David Levy speaks with Lorie Meola about how IBM is transforming procurement through AI adoption and data management. Lorie explains how focusing on good-enough enterprise data, supported by data transparency and data visualization, leads to faster insights and better decisions.   She shares how agentic AI helps teams move away from manual work and focus on higher-value outcomes. The conversation also highlights the cultural change required for digital transformation, including leadership support and iteration. The episode shows how modern procurement can drive efficiency, insight and business impact across the enterprise. Inside IBM's Client Zero journey: https://ibm.biz/BdbW4b

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.

Explore the partnership → https://ibm.biz/BdbTR7 In this AI in Action episode, David Levy talks with Alon Cohen about how the UFC has turned its deep history of data into clear, meaningful insights. Alon shares how the team has moved from basic number tracking to smart systems powered by machine learning, computer vision and NLP. Thanks to better data management and processing, the team can measure speed, power and even fighter intent with far more accuracy.   He explains why combat sports are challenging in terms of AI and data analysis, and how IBM watsonx® helps deliver real-time insights to fans and commentators. The episode also covers why building good AI takes patience, steady improvement and the careful judgment of people who truly understand the sport. 0:00 Intro 04:11 Understanding MMA athletes and the culture 07:17 Identifying the opportunity for statistical analysis in UFC 09:28 The challenges of AI with real-time fight data 16:24 How the UFC uses IBM watsonx® to power UFC Insights 21:34 What data reaches UFC commentators 25:14 How IBM and UFC built and trained the models 31:08 How UFC measures the success of AI-driven fan experiences 34:02 Advice for businesses advancing with 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.

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/Bdbbwt Every company is sitting on a mountain of data, but only a few know what to do with it. In this episode of AI in Action, Madison Faulkner talks with David Levy about turning data chaos into clarity. She explores how agentic AI depends on strong data management and data governance, and why unstructured data and big data only create value when they’re organized with purpose. In other words, the real competitive edge isn’t the AI itself; it’s the data behind it. Because in the end, intelligent systems are only as powerful as the data that trains them. 0:00 Intro 1:35 Madison Faulkner’s journey 2:40 The birth of data science 4:00 Bridging Silicon Valley hype with real-world industries 8:40 Structuring unstructured data for agentic AI 12:00 Automation, knowledge graphs and agentic sourcing 16:40 Tactical and organizational failures in data strategy 20:30 Data as code: The next wave of infrastructure 24:00 Rethinking data foundations for agentic AI 30:12 Turning data governance into a real business advantage 33:45 Final takeaways: Clarity over chaos in the AI era 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/Bdbbw6 #DataStrategy #EnterpriseAI #AIforBusiness #DataLeadership #BusinessIntelligence #AgenticAI #DataDrivenBusiness #DataManagement #MadisonFaulkner #DavidLevy

Explore the podcast → https://ibm.biz/Bdbvh4 AI 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 Intro 0:55 Jen Easterly’s journey from national security to AI governance 2:28 How imagination shapes innovation and risk 4:06 Innovation under pressure in the field 7:04 The power of data and information-driven defense 8:25 Agentic AI is transforming both defense and attack 9:45 Making security part of software design 13:50 Accountability and leadership in AI governance 17:39 Creating a culture that values safety and innovation 24:17 Collaboration, resilience and the future of AI security 28:04 Emerging AI threats and the evolving security landscape 30:12 Key takeaways on leadership, accountability and trust AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdbSUv 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.

Explore the podcast → https://ibm.biz/BdbYhM Learn about AI agents for procurement → https://ibm.biz/BdbYhS Procurement is stepping into the future with AI. In this AI in Action episode, expert Daniel Barnes chats with David Levy about how agentic AI is shaking up procurement, which has long been stuck in spreadsheets and slow processes. Watch the episode to understand how AI is pulling insights from contracts, vendor documents and other datasets, empowering procurement teams to make smarter, faster decisions. Also, learn how some companies are stumbling by trying to AI everything at once. Companies need to understand that the smart move is to start small and then scale up. 0:00 - Intro 02:14 - Data management in procurement 08:45 - How agentic AI has changed procurement 13:10 - How AI and data are redefining vendor evaluation 17:17 - Getting CPOs started with the right technology 23:54 - The rise of agentic negotiators 26:37 - Risks of ignoring AI-driven procurement opportunities 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.

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 Intro 04:52 AI adoption is a behavioral challenge 07:55 AI isn’t digital transformation 11:30 The risk of using AI agents as mere replacements 16:31 Finding the AI champion who drives change 18:18 The shift from commands to conversations 22:39 The foundation for scaling AI workflows 32:22 Why AI agents aren’t just machines 33:15 Trust, hallucinations and the data problem 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/BdbdvS

AI and robotics are revolutionizing industrial work and automation by enhancing efficiency, reducing costs and safeguarding human workers from hazardous tasks.   In this episode, Aaron Saunders, CTO of Boston Dynamics, delves into the transformative potential of AI-powered robotics, highlighting how robots are becoming safer, more cost-effective and widely accessible through Robotics as a Service (RaaS).   He shares real-world applications of industrial robotics, insights into ROI and the shift from deterministic systems to open-ended technologies, while also addressing key challenges, such as managing expectations and ensuring data privacy.  Timestamps: 0:00 Intro 03:03 The future of robots with generative AI 07:22 Beyond warehouses: New uses for AI robots 12:29 ROI from AI-powered robotics 15:13 The next phase of AI and robotics 18:41 Guidance for CTOs on AI and robotics 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   #AI #Robotics #IndustrialAutomation #RoboticsasAService #ReturnOnInvestment #SafetyInAutomation #FutureTech #AaronSaunders #DavidLevy 

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 Intro 03:34 Balancing AI innovation and operations 06:09 AI agents transforming retail 12:54 Scaling up for AI 17:25 Continuous learning in the age of AI 19:56 Boosting ROI through AI 22:40 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

Is generative AI just a productivity hack—or your team’s secret to loving work again? Deborah Lovich, Managing Director and Senior Partner, Boston Consulting Group, believes that when AI is used to decrease the grind and increase the joy, employees embrace it instead of resisting.   Hence, Deborah encourages businesses to develop AI tools with employees, equip managers to lead AI adoption and customize AI learning opportunities. The result? Motivated teams, lower churn and bigger profits.   Catch the full discussion to learn how you can transform work by putting your people at the center of all AI initiatives. 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 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 Intro 06:18 AI demand versus energy supply 09:18 Easing energy demand through infrastructure and operations 12:44 Reframing energy use in AI workflows 15:46 The most compelling aspect of how AI meets energy 19:13 Advice for leaders on using AI without overloading the grid

The data flood is real. And you can either use it to power your decisions or drown in it and lose your way.   In this episode of the AI in Action podcast, Cassie Kozyrkov, CEO of Koyzr, explains the concept of decision intelligence, which is based on data, AI and human insight.   Cassie emphasizes that while most organizations are busy collecting vast amounts of information, this effort is only valuable when the data leads to better choices or smarter decisions.   And this is where decision intelligence comes into play. It helps leaders make sense of data, use generative AI wisely, and base decisions on what truly matters. Catch the full discussion to learn how you can do data-driven decision-making and create real impact within your business. 0:01 Intro 06:13 Data usage matters more than data size 11:03 How to separate good data from bad 16:12 Handling irrationality in human decisions 20:49 Data choices reflect personal priorities 26:50 Our experiences shape AI bias 30:13 Should we limit data collection?

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 Intro 03:35 How do AI solutions affect observability? 07:35 How much visibility does observability provide? 12:26 The difference between good and bad observability tools 20:21 Choosing the right data for the observability tool 23:42 Balancing power and control in agentic frameworks 26:33 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.