Can you define AI in five words or less?

People & Leadership Process Management

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Director of Engineering in Finance (non-banking)8 months ago

Data-driven systems evolving toward understanding

2

Director of Operations in IT Services8 months ago

Adaptive learning human intelligence

IT Manager in Construction8 months ago

Unconscious, Unthinking, Static, BlackBox, Disruptive

1

Data & AI Practice Lead8 months ago

Technology mimicking human cognitive abilities

Global Head, Enterprise Technology Transformation9 months ago

Machine that learns, thinks, adapts.

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We use Microsoft PowerBI extensively at the company. Over 15,000 reports.
For our "corporate" reports, like financials or HR, we centralize those requests and attend them with my team.
We currently "extract" information from multiple systems (ie. SAP, SuccessFactors, CRM, etc...) and put in into a SQL Analysis Services. For interpreting the data we have a Semantics model in PBI.
The problem I see is we can't scale enough to comply with the reporting demands as the semantic model is "unique" and we end up having only one or two developers that can work at a time.
Anyone has an idea how to scale their PBI teams without having to redevelop the semantic model per report?

Has anyone had any success with evaluating the impact of using Generative AI tools such as GitHub's Copilot on the productivity or performance impact on developers? I see a lot of qualitative discussions about how developers say they are more productive, but how are you measuring that impact?

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Are we in a GenAI bubble, and do you expect it to pop soon?

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Can you define AI in five words or less? | Gartner Peer Community