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811: Scaling Data Science Teams Effectively, with Nick Elprin
Super Data Science: ML & AI Podcast with Jon Krohn
Integrate AI Through Strategic Alignment
To maximize the value of data science and AI, businesses must deeply understand their operations and objectives before implementing technology. A top-down approach is essential, starting with identifying critical metrics and strategic assets. By establishing a value tree for data science and AI initiatives, organizations can align their projects with key business drivers, ensuring that AI solutions support optimizing core functions—be it enhancing customer experience in insurance, identifying investment opportunities in asset management, or accelerating drug development in pharmaceuticals. AI should be woven into the business strategy, not treated as a separate tool to apply based on available data.
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