FlexiLingo
Moving AI From Pilot to Production With Broadridge
- Technology
What has to change before an AI pilot can become part of a regulated financial workflow? In this episode of AI at Work, I speak with Tom Carey, President of Broadridge's Global Technology and Operations Business, about the work required to move AI beyond personal productivity tools and prototypes. Tom brings an unusual perspective to the conversation. He studied AI in the 1990s, long before current computing power and language models made commercial deployment practical, and now works where financial market infrastructure, technology and operations meet. Tom describes four levels of AI productivity. The first...
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There are just too many datasets to guardrail them all.
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 80% of the words are B1 or easier.
- 179 words a minute: natural, fairly fast speech.
- 179 harder words (B2 and up) in the whole episode.
Transcript
The opening of the episode. The whole transcript is in the player.
harder words (B2+)
It's not your fault that your agentic AI systems are acting outside of compliance. There are just too many datasets to guardrail them all. But with Denodo, you can now organise your hundreds of data sources into one layer and govern your agents with a single approach.
Try it now with Denodo by visiting denodo.com to learn more. What separates an AI experiment from a production system that can be trusted with regulated financial work? Well, my guest today is Tom Carey, President of Broadridge's Global Technology and Operations
Business. Let's just say my guest Tom was ahead of his time. He was studying AI in the 1990s when finding a commercial use for it was considerably harder than finding another reason to use a mainframe. But today he's helping
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