Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.
All content for Straight Data Talk is the property of Yuliia Tkachova & Dumky de Wilde and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.
Danilo Sato, AI Platform & Engineering Portfolio Leader at ThoughtWorks (16+ years), joined Yuliia and Scott to discuss enterprise AI readiness assessment and how implementation is progressing. Danilo shared a fascinating case study about how technical solutions often face non-technical barriers. He shared his views on data mesh principles intersecting with AI solutions and treating AI models as specialized data products.
Danilo's Linkedin Page: linkedin.com/in/danilosato [https://www.linkedin.com/in/danilosato]
Straight Data Talk
Data’s messy, and we don’t sugarcoat it. We dig into real-world stories—FinOps, data platforms, streaming, governance—with people who’ve been there, screwed up, figured it out, and can still laugh about it. No buzzwords, no corporate cheerleading—just curious questions, practical insights, and the occasional bad joke.
