The concept and idea of AI is too much talked about at present, especially by corporations who just want to do all their tasks without paying anyone and ,additionally, at the optical fiber super speed. Other set of people are the techies and their team of marketers that just want to create a new bunch of applications on investor’s money where AIAS (AI as A Service Model) like SAS and IOT on monthly subscription model where our trading e-commerce and mobile commerce community after paying heap of money to plugins, ERPs, automated CRMS are next ready to pay monthly subscription fee to AI applications based enterprise and customized model for their BIS (Business Information System).
The startup that has now a new pretext to get huge sums of investor money inflow towards them as there they once had for crypto currencies and crypto mines to no one’s waste. However,this investor money also comes from a common man’s pocket that he has either saved or invested in stocks or otherwise.
Though appearing to be antitheist to AI but am a tech writer and marketer since 1998 when the first iPhone appeared into the smartphone market. Albeit, AI in a broader term is a set of different types of Machine Learning coined upon software algos and labelled databases to accomplish certain tasks especially in the areas of marketing communication, medicine, academics and others. What leisure AI as a supervised learning like (ChatGpt) or Generative AI is to generate text or image from huge labelled databases.
AI is a set of subset of ML further extending to Deep Learning further going to Generative AI.
So, companies, enterprises and commoners like you are going to use AI for their business goals and day-to-day tasks. For a commoner there is an idea of Open AI that has developed chatGPT where any can use AI’s generative capabilities in basic version and its database on API driven usage can be utilised by other AI developers. As the basic version is free for more advanced and better supervised versions one would have to pay a fee as they have yet to develop concepts like Google ADs or FacebookA Ads, an overly competitive area.
The areas where they really can make money are enterprise models as a Application model customized for their BIS (Business Information System) utilizing their ERP Data, Public Library Data, Academic Data that is freely available or can be subscribed through API driven systems. A typical application model of AI is something as mentioned below.
Finally, it is at stake for companies and businesses to go for AI or not based upon cloud driven business environments. An (Small and Medium Enterprise) SME will always be in doubt to use Generative AI for its business goal as the cost of AI tools’ initial level is going to be too high with additional training time frame for managers to get accustomed to bring ROI asap. It seems improbable with SMEs matching with shorter and faster cash flow cycles to run their businesses successfully. Other choices they have are opting for free AI tools like the basic version of ChatGPT with certain limitations and lesser supervised learning.
However, the story for larger corporations and enterprises is entirely different where their coffers filled to the brim is different as they have the choice to develop an end-to-end AI system using their ERP and CRM data to communicate and optimise business processes. In the background it is machine learning and data that would bring some bigger anticipated business changes.
