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Introduction
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Welcome
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Why this is important
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Hypothesis
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Data Scientist vs Decision Maker
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Why does this happen
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Context vs Content
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Archetypes
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Storytelling
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Ideal ways to interact
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Key takeaways
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

Bridging the Gap Between Data Scientists and Decision Makers - Enterprise AI Implementation

Data Science Conference
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