Alter Everything 188: Bridging the Gap Between Data and Impact
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Jul 2, 2025 Alexander Patrushev, Head of Product at Nebius, is on a mission to make AI accessible. He dives into how organizations can bridge the gap between data and business impact through smart project selection and effective stakeholder communication. The conversation highlights innovative data center solutions, like utilizing waste heat in Finland, and emphasizes the importance of team skills and data quality in maximizing impact. Alex also warns against the pitfalls of rapid AI deployment, advocating for simpler, efficient solutions that enhance data management.
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Innovative Data Center Cooling
- Nebius builds its entire cloud infrastructure including data centers and software from the ground up.
- Their data center in Finland uses ambient cold air for cooling and reroutes waste heat to heat nearby villages.
Importance of Quality Data and Drift
- High-quality data is critical; garbage in, garbage out applies especially in AI projects.
- Monitoring data drift prevents quality degradation and controls retraining costs.
Five Pillars to Bridge Data Impact
- Select AI projects balancing data availability, business impact, and ease of finding solutions.
- Build cross-functional teams with communication and skills, focus on data quality, and use managed tech stacks initially.