Home News 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

by WeeklyAINews
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On this week’s carcast, we talk about 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 dressmaker Aritzia and discuss 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 talk about three crucial guideposts outlined by McKinsey to assist leaders excel of their respective markets, reminiscent of not being a “laggard,” specializing in successful in your personal turf and understanding the idea of “shrinking to develop.” Additionally:

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

Have an excellent week! Analytically yours.

Bruno Aziza is a expertise entrepreneur and associate at CapitalG, Alphabet’s impartial progress fund.

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