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Event

Straight Data Talk

2024-05-13 – 2025-11-24 Podcasts Visit website ↗

Activities tracked

3

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.

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Sessions & talks

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Danilo Sato: AI Readiness

2024-11-18 Listen
podcast_episode
Scott , Danilo Sato (ThoughtWorks) , Yuliia Tkachova (Masthead Data)

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

The Hidden Costs of Modern Data Stack

2024-11-04 Listen
podcast_episode
Scott , Yuliia Tkachova (Masthead Data) , Martin Fiser (Keboola)

Martin Fiser, Field CTO at Keboola with 8 years at Google, joined Yuliia and Scott to challenge modern data stack complexity and costs. He advocates for all-in-one platforms over fragmented solutions, highlighting how companies waste up to 40% of time on tool integration. Martin shared insights on US-European cultural differences in data approaches and warned against "development by resume" culture where engineers prioritize trendy tools over business outcomes.

Daniil Shvets – Data Science is more a business activity rather than IT

2024-10-07 Listen
podcast_episode
Scott , Daniil Shvets (ASAO DS: Data & AI Consulting Boutique) , Yuliia Tkachova (Masthead Data)

Daniil Shvets, CEO and co-founder of ASAO DS: Data & AI Consulting Boutique, previously led various companies' Data Science and Product teams. Daniil sat down with Yuliia and Scott to share his opinion on Data Science being a business department with appropriate data skills rather than an IT department. He explained why having 54 ML models in one of the largest retailers in the USA is the wrong approach. Daniil also shared his views on the biggest challenges in perceiving Data Science's role. We also touched on AI and the consultancy business while Scott made all possible relationship analogies. :)Daniil's Linkedin: https://www.linkedin.com/in/daniilshvets/