Most companies are currently in an exploratory phase focusing on identifying use cases based on the current capabilities of AI tools, raising the level of knowledge of their staff and figuring out how to set appropriate guardrails such as policies or practices around use of AI. This is no different than with any other emerging, rapidly evolving technology for those who begin to invest in it before it has gone mainstream.
AI programs often show slow returns because early stages focus on data, models and foundations. I see this phase as building long term capability rather than chasing quick wins. As a community, we look at value horizons, adoption readiness and business alignment. ROI comes when teams start using the outcomes in real workflows, so patience and clear value milestones are important. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
First of all AI is a board term. Organizations are using AI for long time ago. With that said, is simple to calculate ROI for AI components in a project. You have lot of examples outside there. But again, AI is a board term and AI components can be used in lot of different ways inside a solution. Saving Changes...
"It is an important and popular fact that things are not always what they seem. For instance, on the planet Earth, man had always assumed that he was more intelligent than dolphins because he had achieved so much -- the wheel, New York, wars and so on -- whilst all the dolphins had ever done was muck about in the water having a good time. But conversely, the dolphins had always believed that they were far more intelligent than man -- for precisely the same reasons."
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