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

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On this week’s carcast, we focus on information moats, the generative AI iceberg and methods to outpace the competitors. We spotlight the data-driven success of Andrew Storrs, information chief at Canadian designer Aritzia and speak concerning the insightful gen AI iceberg idea by Tony Seale, data graph engineer at funding agency UBS.

This week’s video additionally features a dialogue on information moats, impressed by a bit by Travis Might, former CEO and founding father of information collaboration platform LiveRamp

Moreover, we focus on three important guideposts outlined by McKinsey to assist leaders excel of their respective markets, resembling not being a “laggard,” specializing in successful in your personal turf and understanding the idea of “shrinking to develop.” Additionally:

  • What information leaders try to be following
  • McKinsey’s guidelines for outperforming the market
  • The Chief AI Officer Summit
  • Gartner predictions for 2024. 

Have a terrific week! Analytically yours.

Bruno Aziza is a expertise entrepreneur and accomplice at CapitalG, Alphabet’s unbiased development fund.

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