If you were to build an enterprise AI system at scale, would it look like Workday? Yes, says CEO Carl Eschenbach. Here's why
diginomica.comI thought it was flat out wrong. And quite frankly, fast forwarding 90 days, I think that's playing out exactly like we thought it would. When I spend time with CXOs around the world that both customers and prospects they talk about three things that's hindering or slowing down enterprise adoption of AI: It is data quality; it's data integrity; and its security. And by the way, none of these are an issue for Workday.
When we spend time with our customers, while maybe they're enamored with these point solutions, they're ultimately coming back to the vendors they trust, who have been in their infrastructure for a long time, has that data set and drives real business outcomes. The narrative we've been hearing in the last couple of quarters is changing, and it's coming back to those who are highly penetrated in the ...
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