If 95% of gen AI projects fail, what do the 5% know?

Home ProgramsSignal and Noise If 95% of gen AI projects fail, what do the 5% know?
gen ai success failure

Geoff Hollingworth of Rakuten Symphony on picking the type or problems AI is good at solving

MIT Media Labs Project NANDA made quite a splash a few weeks ago with the release of a report that found 95% of generative AI pilots fail in terms of impact to P&L. To understand what this suggests given the staggering amount of money being poured into AI infrastructure, we talked with Rakuten Symphony Chief Marketing Officer Geoff Hollingworth.

Hollingworth flipped the headline: rather than focus on the 95% failure rate, it’s more important to interrogate what the 5% of companies getting it right are doing. The common theme seems to be that success is a function of identifying the right problem (which is typically very narrow and measurable), validating that you have the right data, and focusing on small wins, then scaling.

While the conversation is not limited to telecoms, Rakuten Symphony has a great example that supports the mobile network operators. Announced earlier this year, the Rakuten Site Management platform delivers comprehensive visibility, predictive insights and advanced automated capabilities. The platform currently covers more than 3.5 million sites globally, including in the U.S. for AT&T; the key metrics are that Rakuten Site Management improves build efficiency by 60% and increases deployment accuracy to 99%.

Check out the full interview with Hollingworth here:

What you need to know in 5 minutes

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