When Generative AI is and Is Not Effective!

#AI was a fascinating concept when I first started learning about technology during my college days. It probably dates back to when even my professors were students!

And now we have #GenerativeAI. It is all the rage and is promising to revolutionize industries. But how do you separate the hype from the reality?

Everyone is talking about #GenAI and there is a clouded thought that #GenAI means consider that tech problem is solved! But let us be real. It is not a one-size-fits-all solution.

The main difference between #AI and generative AI (#GenAI) is that #AI is used to analyze and interpret existing data, while #GenAI is used to create new content based on existing data.

So, when is #GenAI truly effective and where it falls short?

So, before you dive impulsively, ask yourself:

-> Does your use case fit the bill?
-> Can #GenAI deliver the business outcomes you are after?

#GenerativeAI #ArtificialIntelligence #TechLeadership #ITManagement #GartnerIT #AI #JSTalks


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