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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