AI in Action

In the latest episode of AI in Action, Bernard Marr shares his perspective on how AI is changing the way we work and why AI literacy is becoming essential for every organization. He explains that real AI-driven business growth starts with a clear strategy. To make AI work at scale, companies need strong data foundations, modern data architecture and solid data management practices.

Many organizations still struggle with siloed systems, weak governance and low data literacy, which hurts their competitive edge. Bernard encourages leaders to connect business intelligence with AI goals, rethink existing processes and give teams space to experiment. From agentic AI to quantum computing, he reminds us that change is happening fast and that a thoughtful, strategic approach to AI is key to building future-ready organizations.

0:00 Intro
03:47 What AI really means for companies in 2026
06:47 Scaling AI starts with strategy
10:42 Leading the cultural shift to AI
13:17 Competitive advantage starts with AI awareness
18:14 The real barriers to scaling AI
28:33 What enterprises can learn from AI startups
30:58 Top trends for data and AI leaders
34:24 Overcoming data and governance challenges

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/BdpEkq

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.