Hi experts,
I work at a large financial organization.
I have been wondering what types of problems (=use cases) can be solved/optimized using the Edge AI technology in industries such as Banking and Finance, Power and Land and Agriculture?
I appreciate your thoughts and suggestions.
AI has already been used for decades in banking, finance and agriculture.
Credit and loan analysis use a lot of logistic regression to know who to loan money to. Finance uses AI for regression analysis of forecasts and optimum stock portfolios, agriculture to predict production and supplies needs based on the amount of rain forecasted.
What we have is the evolution of tools, methods and techniques. We no longer need cubes. Although Hadoop is meant for safe storage at low cost and not for AI purposes, tools have evolved and new tools arose providing the speed required for AI analysis.
We have evolved in terms of data governance with the use of DMBoK (Data Management Body of Knowledge), visual planning frameworks like the Machine Learning Canvas, Self Service BI approaches stimulating collaboration amongst users. We now have tools, practices, frameworks and enough manpower that makes the job more challenging.
We have been using AI in those sectors for quite a while, but now we have the momentum to reach a different level of data thinking organizations.
@Djalma Gomes, Pmp, Mba Thanks. Yes. I agree with you that AI has already been used for decades. But, I am more interested in Edge AI that can be used.