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Data Faces is a data, analytics, AI, and marketing podcast that brings the human stories behind the numbers to the forefront. Hosted by David Sweenor, author and founder of TinyTechGuides, each episode features candid conversations with the data leaders, AI innovators, and marketing practitioners putting data and AI to work. Topics include why enterprise AI initiatives fail, AI-ready data and data quality, AI and agentic governance, AI agents, enterprise AI adoption, and B2B marketing. For CIOs, CDOs, analytics leaders, and product marketers.
Presentadores:
Frecuencia de actualización:
every 9 days
Duración media del audio:
35 minutes
Entrevistas a invitados
Videopodcast
Inglés
Estados Unidos
53 episodios
desde 14 de noviembre de 2024
episodic
ÚLTIMO EPISODIO 🔗
Most of what makes an expert good at the job was never written down. Ken Sanford, who leads go-to-market and commercial strategy at Clarifeye, argues that this tribal knowledge is the part of the AI context layer nobody talks about, because document retrieval is close to solved and the judgment to …
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EPISODIOS ANTERIORES 🔗
Randy Bean, founder and CEO of the Data & AI Leadership Exchange, joins Data Faces on location at the 20th annual CDOIQ Symposium in Cambridge, Massachusetts. His test for data leaders is blunt. If you're not getting measurable business value from your data and AI investments, or a clear path t…
Everyone blames AI for the tech job market. An executive recruiter who talks to the hiring decision-makers every day says the story started two years before the AI headlines did.Jim Jinright, Managing Partner at JRJ Search Group in Dallas Fort Worth, joins David Sweenor to explain the perfect storm…
Veenit Shah, Senior Manager of Data Engineering, and Puneet Singh, Senior Data Engineer, both at Intuit Credit Karma, join Data Faces on location at the 20th annual CDOIQ Symposium in Cambridge, Massachusetts. Their team keeps credit scores current for about 140 million members, and an AI remediati…
Every vendor says your data needs to be "AI-ready." Almost none of them define it the same way.Malcolm Hawker, Chief Data Officer at Profisee, former Gartner analyst, and author of The Data Hero Playbook, joins David Sweenor to take the term apart. His definition is short: data is AI-read…
Amy Lenander, Chief Data Officer at Capital One, and Christina Egea, SVP of Enterprise Data, join Data Faces on location at the 20th annual CDOIQ Symposium in Cambridge, Massachusetts. Their data product strategy is producing measurable results, with use cases launching three times faster and stand…
Every AI architecture decision made today comes with an expiration date. Models leapfrog each other every few months, patterns change, and the conversation itself will look different in a year.
In this episode of the Data Faces Podcast, David Sweenor sits down with Sam Pierson, Chief Technology Off…
Amin Venjara, chief data and product officer at ADP, joins Data Faces on location at the 20th annual CDOIQ Symposium in Cambridge, Massachusetts. He explains why a contractor going on about wood, nails, and concrete will never win over a homeowner who just wants to entertain in the backyard, and wh…
"Any software feature can be cloned with a prompt, overnight." A room full of data and AI leaders agreed on it. April Dunford's verdict: absolute BS.
On this episode of the Data Faces podcast, David Sweenor talks with April Dunford, the positioning consultant behind Obviously Awesome and …
Getting data "ready" used to mean ready for a dashboard, where a person could catch a bad number before it did any harm. Once an AI agent acts on the data instead of a person, that safety net is gone.
In this episode of the Data Faces Podcast, David Sweenor sits down with Matt Hayes, Gene…
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