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What Makes Data Valuable: The Truth About Data Network Effects
But a massive amount of human knowledge is in the form of proprietary, non-crawlable information. The information needed to train medical AI breakthroughs is in medical records and images; the information needed to automate contracting workflows is in millions of contracts; the information needed to optimize customer support is in millions of call ... See more
Meta’s Bet on Scale AI Is Just the Beginning of the AI Data Wars
Disruption Theory & risk-aversion don’t apply
Incumbents typically cede market space to startups wherever there’s new, unproven technology or a new, unproven market, especially in spaces where they can’t use past data to predict the future. But in AI, they’re rushing to embrace new technology and uncertain markets, spending historic amounts of ... See more
Incumbents typically cede market space to startups wherever there’s new, unproven technology or a new, unproven market, especially in spaces where they can’t use past data to predict the future. But in AI, they’re rushing to embrace new technology and uncertain markets, spending historic amounts of ... See more
Jason Cohen • AI startups require new strategies: This time it's actually different
A new type of network effect takes hold: whoever has the most customers accumulates the most data, learns the best
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Despite the fact that many of the largest and most dominant tech firms in the world are data businesses, there are not many resources on the what, how and why of this business model.