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Why Most AI Projects Fail

October 9, 2017 : Permanent Link

(Opalesque) Everyone has AI on their 2017/2018 roadmap these days. Bottom-tier innovation verticals like HR, multi-level marketing, entertainment, fashion, medical, supply chain (anyone else we should throw under the bus?) are even starting to talk about it. Everyone wants to hire a data scientist. Fortune 1500 companies are throwing out multi-million dollar data leadership positions to lead their data teams to success. Despite the hype and excitement, the majority of companies that commit to tackling AI projects will fail. Even that $1M+ hire won’t save you from failure.

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