By Sue Feldman, founder and CEO, Synthexis
I recently had the opportunity to attend a focus group, sponsored by SAS Institute, on cognitive computing adoption outside the US. The group of early adopters attending this focus group was proceeding with caution. They had the bruises from past new technology experiments and don’t believe the hype around AI today.
In each case, it was apparent, however, that they had support from high-level management, and that they were starting with a proof of concept, or several. We have heard this from other buyers. Several enterprises are working with more than one vendor, trying to compare dissimilar products with little in the way of best practices to guide them.
ome of the concerns that emerged were, first, that these systems are often a black box; that it was not clear why they were getting the recommendations that were delivered. Because business systems are traditionally data-based and deterministic, rather than stochastic, this ambiguity appears to be unacceptable to them for some uses today. The buyers felt that they needed the evidence behind the results.
Probabilistic systems, including search engines, have long struggled with this problem. Although we know that information systems of all sorts deliver only what you ask for and not what you should have asked for, nevertheless they are seen as precise and complete. Managing expectations is a challenge for vendors and for IT managers.
Read the source article at Cognitive Computing Consortium.