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
