Transcript
Guest
Innovation isn’t slowing down—and neither is AI. Data teams are under pressure to move faster, deliver more, and keep pace with constant change. In this episode of The Data T, Coalesce co-founders Armon Petrossian and Satish Jayanthi talk with Nicholas Mann—CEO of Stratos Consulting and self-described data therapist—about what it really means to make data useful in 2025.
From simplifying over-engineered stacks to building practical AI foundations, Nicho shares his perspective on how organizations can navigate complexity without losing focus on what actually drives impact. He talks about the emotional and operational challenges facing data professionals today, introducing the idea of “data therapy” — a way to talk about the mounting pressure, backlog, and burnout that teams are experiencing as AI hype accelerates. With firsthand stories from the biotech and pharmaceutical space, the conversation digs into how to focus on what matters, where AI is genuinely helping, and why a more agile, empathetic approach to data work is urgently needed.
Key Topics
- AI: hype and expectations vs. reality
- Overwhelmed data teams
- Executive pressure to innovate
- Automating manual, repetitive tasks
- Optimizing data frameworks for AI
- The importance of subject matter expertise
- How to stay grounded in fast change
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