If you are not engaging with the future, you cannot cry fowl, when the future comes biting on your face. With the exceptions of big ticket photo-ops, we can’t even call them meetings, and a couple of grandstanding proclamations, we are literally nowhere on the AI landscape. We would soon emerge in the mass scale AI market for non-specialised, extremely generic stuff. Notwithstanding the tech bypass psyche, which the country has been afflicted with for decades, there is no denying the fact that there are some who have been following technology pretty consistently and have at least kept their knowledge at par.
The GPT revolution and the generative AI brought AI to the centre-stage of the world. Its usage is growing by leaps and bounds. Given the pace of growth of AI the next stage is already there, that is of Agentic AI. Nvidia CEO Jensen Huang sees Agent AI as a massive economic opportunity, envisioning AI agents becoming integral to businesses. Agent AI refers to artificial intelligence systems designed to operate autonomously or semi-autonomously to perform tasks, make decisions and interact with users or have interface with other systems.
Within the AI domain of Agentic AI, Vertical Agent AI is likely to become the flavour of the day, for the precision based benefits it is technically mandated to carry. Vertical Agent AI is a specialised artificial intelligence system customised to perform specific tasks within a particular industry or domain. What should be made abundantly clear is that vertical AI agents focus on niche areas, offering deep expertise and efficiency in their designated fields. Just think of three vertical Agent AIs we are trying to create, in the fields of patents, anti-money laundering and for insurance.
Though the tech has its own complexities, it can still be treated as for given, the domain becomes the prime mover, once the fundamental technology is in place. And it is, broadly. The key benefits of Vertical Agent AI are specialisation as it handles specific tasks or workflow within a single domain. There are clearly understandable industry applications; analysing medical imaging or managing patient data. It can mean automating compliance checks or financial forecasting in finance. It wins hands down over traditional systems inclusive of generic IA systems, with both its precision and focus, the automation is nearly magical. The multifarious cost reduction can be breathtaking and decision making would become so easy and seamless, with the clarity of information, its analysis, scenarios and forecasting right in front of you.
WE ARE LUCKY TO BE IN THIS AI AGE. IF WE ARE NOT ABLE TO USE IT TO OUR UTMOST ADVANTAGE, WOULD MEAN A COLOSSAL LOSS FOR ALL TIMES.
Sanjay Sahay
Have a nice evening.