AI Renaissance & Hyper GENAIism

 Generative AI has created a different landscape and a different way to do something that investors are considering,. They need to look at it differently because what it did was democratize technology significantly. Everyone now has access to similar resources, these incredible resources. If you're using OpenAI APIs, everyone can grab these APIs and grab this amazing stuff. So the barrier from a technology perspective has been lowered significantly but gap between the available talent and required expertise is still wide enough to hamper the real traction in the application of GenAI in the fields like  Oil & Gas, Energy & Utilities, Manufacturing and .Healthcare.

 The huge amount of hype around generative AI since ChatGPT launched 11 months ago has been unlike any piece of technology people have seen in a generation. But despite the massive investment of awareness, time, and budget in GenAI projects, few organizations seem to be meeting their business goals with GenAI. That’s a reason why experts are predicting a modest pullback in 2024. Organizations will follow different trajectories in their experience of generative AI, so it doesn’t necessarily mean an organization needs to fall into the trough. It generally happens when expectations are not managed. If you start out by looking at some targeted use cases, some targeted pieces of implementation, and you have good metrics for success, and also investments in data management and organization; good governance, good policies; if you combine all that with a practical narrative about what the models can do, then you’ve controlled the hype and you’re less likely to fall into the trough.

 The  current AI renaissance will create a general awareness and acceptance of technologies like Pattern Recognition,  ANN, Deep Learning and Big Data based analytics which was earlier limited to scientific and research organizations.  IT companies will learn that present model of talent development and trailing is not enough  to tackle the domains which require deep learning of subjects like mathematics and modeling too apart from the usual IT skills employed in the IT support and maintenance projects.   Very soon by 2025,  dusrt of GenAI  Hype settle and make way for talent discovery to increase in productivity