
Measuring AI by Business Results Instead of Adoption With Domino Data Lab
- Interview
- Technology
How should a business measure AI success when employee adoption tells leaders very little about revenue, savings, risk, or better decisions? In this episode of Tech Talks Daily, I speak with Thomas Robinson, better known as T-Rob, who recently moved from Chief Operating Officer to CEO of Domino Data Lab. After ten years inside the company, he has seen enterprise AI move through several phases, from specialist data science projects to generative AI tools available across the workforce. T-Rob argues that businesses have become too focused on the technology itself. Generative AI has attracted attention...
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 76% of the words are B1 or easier.
- 170 words a minute: natural, fairly fast speech.
- 159 harder words (B2 and up) in the whole episode.
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The opening of the episode. The whole transcript is in the player.
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The leading issue of agentic AI in businesses right now is ensuring agents act with compliance guidelines. And Denodo applies guardrails across your entire data estate. By aligning your company's data infrastructure under one system, these guardrails perform consistently across your platform.
So start scaling your business and start with Denodo. Simply visit Denodo.com to learn more. Is your AI program creating business value? Or are you simply counting how many employees have opened the software?
Well, my guest today is Thomas Robinson, better known as T-Rob. And he's going to join me today to discuss his role as the CEO of Domino Data Lab and discuss why adoption can be a terrible measure of AI success. And after 10 years with a company, including Timer's COO, he believes enterprises must
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