Bridging the Gap Between Data Scientists and Decision Makers - Enterprise AI Implementation
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Watch this 34-minute keynote speech from Data Science Conference Europe 2022 to discover effective strategies for bridging communication gaps between data scientists and business decision-makers. Learn why building enterprise-grade algorithms requires more than just achieving high accuracy metrics, and explore how to successfully integrate AI solutions into business processes. Understand the importance of sufficient data collection, business context, and team role distribution for successful AI implementation. Through detailed examples and practical insights, explore various archetypes of interaction, master the art of storytelling in data presentation, and gain key takeaways for fostering better collaboration between technical and business teams. Delve into proven methodologies for aligning AI initiatives with business objectives while maintaining clear communication channels between all stakeholders.
Syllabus
Introduction
Welcome
Why this is important
Hypothesis
Data Scientist vs Decision Maker
Why does this happen
Context vs Content
Archetypes
Storytelling
Ideal ways to interact
Key takeaways
Taught by
Data Science Conference