Insight
Weighing Risk and Reward with Gen AI Vendor Selection
Nick Kramer was quoted in this CIO article about things to consider when choosing a gen AI vendor.
Learn MoreDespite its broad utility, Nick Kramer comments on the limitations of gen AI in this Diginomica article.
He sees many executives getting enchanted by the broad utility of gen AI, meaning that it can be incorporated into existing products in ways blockchain, Robotic Process Automation, and other previously hyped technologies could not. This has led many executives and their boards to buy into promises that it is a panacea. He says:
“Unfortunately, there are a lot of areas in which our existing analytical methods are vastly superior. People believe its quantitative outputs even though math is not their strongest suit. They cannot escape creating hallucinations, and its creations are only a starting point, not a finished product.”
Nick Kramer was quoted in this CIO article about things to consider when choosing a gen AI vendor.
Learn MoreNick Kramer was featured in this TechTarget article about the importance of evaluating business needs when selecting stream processing tools.
Learn MoreNick Kramer is featured in this CX Dive article about bridging the gap between self-service and live agents in the customer service landscape.
Learn MoreNick Kramer was quoted in this article in CIO Online looking at the barriers that prevent companies from becoming data driven.
Learn MoreNick Kramer was featured in this TechTarget article looking at the top trends and priorities for CIO's in 2024.
Learn MoreNick Kramer is featured in this Techtarget article discussing ethical issues associated with generative AI as grows in popularity and presents disruption to business models.
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