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This week in data: data moats, generative AI, and how to outperform your peers

This week in data: data moats, generative AI, and how to outperform your peers

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In this week’s roundup, we look at data moats, the generative iceberg of AI, and ways to outperform the competition. We highlight the data-driven success of Andrew Storrs, data lead at Canadian fashion designer Aritzia, and talk about the insightful AI iceberg concept from Tony Seale, knowledge graph engineer at investment firm UBS.

This week’s video also includes a discussion on data moats, inspired by an article by Travis May, former CEO and founder of data collaboration platform LiveRamp.

Additionally, we discuss three key guidelines outlined by McKinsey to help leaders excel in their respective markets, such as not being a “laggard,” focusing on winning on your own turf, and understanding the concept of “shrinking to grow.” Also:

  • Which data leaders should you follow?
  • McKinsey’s rules to outperform the market
  • The AI ​​Directors Summit
  • Gartner predictions for 2024.

Have a good week! Analytically yours.

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Bruno Aziza is a technology entrepreneur and partner at CapitalG, Alphabet’s independent growth fund.

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