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 Intro06:13 Data usage matters more than data size11:03 How to separate good data from bad16:12 Handling irrationality in human decisions20:49 Data choices reflect personal priorities26:50 Our experiences shape AI bias30:13 Should we limit data collection?
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Observability: To run your IT environment on insights, not instincts
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.
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AI in real estate: Use AI for your next move
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.
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Productivity isn’t enough—transform your business model with AI agents
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.
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AI built for sales: From pipeline generation to proposal creation
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 in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical use case lens.
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