5 • 2.7K Ratings
🗓️ 4 December 2025
⏱️ 27 minutes
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| 0:00.0 | The Agile brand. |
| 0:03.0 | Welcome to Season 7 of the Agile brand, where we discuss the trends and topics marketing leaders need to know. |
| 0:15.0 | Stay curious, stay agile, and join the top enterprise brands and MARTEC platforms as we explore marketing technology, AI, e-commerce, and join the top enterprise brands and Martec platforms as we explore marketing technology, |
| 0:23.1 | AI, e-commerce, and whatever's next for the Omnichannel customer experience. |
| 0:27.8 | Together we'll discover what it takes to create an agile brand, built for today and tomorrow, |
| 0:32.1 | and built for customers, employees, and continued business growth. |
| 0:36.9 | I'm your host, Greg Kilstrom, advising Fortune 1,000 brands on Martec, employees, and continued business growth. I'm your host, Greg Kilstrom, advising Fortune 1000 brands on Martec, AI, and marketing operations. |
| 0:43.1 | To make sure you always get the latest episodes, please hit subscribe on the app you listen to |
| 0:47.0 | podcasts on, and leave us a rating so others can find us as well. |
| 0:51.0 | Now on to the show. |
| 0:59.0 | This episode is brought to you by Donoto, powered by logical data management. The Denoto platform accelerates data integration, management, and delivery for all your businesses' data needs. |
| 1:05.0 | What if the multimillion-dollar AI initiative you're championing is being silently sabotaged, not by a competitor, |
| 1:12.6 | but by your own data infrastructure. Agility requires more than just fast decision-making. |
| 1:17.8 | It requires a data foundation that can deliver insights at the speed of business without the |
| 1:22.4 | traditional delays of moving and duplicating information. This ability to access and act on real-time, comprehensive data |
| 1:29.8 | is what separates brands that lead from those that follow. |
| 1:33.7 | Today, we're going to talk about the silent killer of AI projects. |
| 1:37.1 | While everyone focuses on the glamour of AI models and algorithms, |
| 1:40.9 | the reality is that most enterprise initiatives stall or fail at the data layer. |
| 1:45.5 | We're going to be discussing why even modern data warehouses can create new roadblocks |
| 1:50.3 | and how a different approach to data management can make your enterprise data truly AI ready. |
| 1:55.6 | Tell me to discuss this topic. |
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