Generative AI and the Impact on Enterprise Software | Tinder on Customers

Episode 28 | Generative AI and the Impact on Enterprise Software Purcashing, Use, Implementation

The Big Themes:

• Extensive experimentation: Bonnie tested the impacts and effectiveness of generative AI around the area of software selection and implementation, prompting the tool to provide scenarios and advice around purchasing and implementing software, from the perspective of a customer.
• Generative AI as "revolutionary": Generative AI, and tools such as ChatGPT, are revolutionary in the fact that it can organize and synthesize mass amounts of data in a relatively quick timeframe. "Some of the things that I think these LLMs really do significantly well take a lot of random information and net it out into simple bullet points."
• The "not so good": Generative AI is not comprehensive in terms of its knowledge about customer needs, demands, buying habits, or issues. It is not directionally correct when asked to create a "roadmap" for purchasing and implementing software. Additionally, the data is trained from 2021 and prior.

The Big Quote: "AI is also not going to sell your idea internally, or your project internally, and get others on board. We know these projects are successful because of the people who run them, and the effort that gets the commitment of the organization behind it, and stakeholders behind it. AI and robots are not going to do that. So the successful projects can be aided certainly by AI, but it can't be run by them."

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