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.

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.