ОТНОСТНО ТОЗИ ЕПИЗОД
Rich leads the data practice at AND Digital, and he's not buying into the "AI's coming for your job" panic. If anything, he believes everyone else in the business is about to need the exact skills data leaders already have. His argument is that data's moved through three distinct eras: warehousing, then impact and value, and now the agentic era, where the gap between having an insight and acting on it has basically closed. And this, he says, is the time for data leaders to step up and own that space.
We cover:
- Why Rich thinks data leaders are best placed to own the agentic era
- His three-eras model of data, and what's actually different this time round
- The paradox of modern data teams: everything's changed, but also nothing has
- Why AI's real bottleneck is context, not intelligence, and what that means for semantic data layers
- His framework for building a business case a CFO will sign off on, including why joint sponsorship matters
Английски
САЩ
ТРАНСКРИПЦИЯ 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на The Stacked Data Podcast .
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
Ed Mancey has a take that a lot of data leaders won't like — and he's got two years of results to back it up.
As the data team lead at Synthesia, Ed has built his function around a single idea: the data team's job is to be a multiplier for the business, not a bottleneck. That means owning platforms…
Stuart Fenton holds arguably the most unique job in UK data and AI — Head of AI at Reading FC, and the first person to hold that title in English football.
His path here wasn't exactly conventional. Telecoms. Applied research at the University of Surrey's 5G Innovation Centre. Government AI advisor…
Monzo went from zero rules to one of the most opinionated data architectures in fintech — and cut warehouse costs by 40%+ doing it.
Bruno Campos, Analytics Engineer at Monzo, joins Harry to unpack the rebuild of Monzo's entire data platform — tens of thousands of dbt models, hundreds of teams, one …
Most AI projects in financial services stay in a pilot. Moneybox actually shipped one.
In this episode, we sit down with Marko Katavic, Director of AI and Decision Intelligence at Moneybox, to get the real story behind Aurora — the in-house AI guidance engine Moneybox built to help their 1.5 millio…
Most data orgs scale their AE team as they grow. Wise didn't. Moritz Kerstan runs a lean team of 17 supporting over 300 data practitioners — and he's got a clear thesis on why that's the right call. In this episode, we dig into how Wise structures their analytics engineering function, how the team …
Опровержение: Подкастът и произведенията на изкуството, вградени на тази страница, са от Cognify, което е собственост на неговия собственик и не е свързано с или одобрено от Listen Notes, Inc.
РЕДАКТИРАНЕ
Благодарим Ви, че помогате да поддържаме базата данни за подкастове актуална.