These terms are used to from BI Intelligence, To illustrate the various applications of AI in eCommerce and use case studies to show how this technology has benefited merchants/ecommerce service providers. Different consumers have varying, and often very specific, requirements for product, needs, expect performance, cost of consumption, silicon wafer thin kind of cost for best thing in mind and other parameters.
AI is today increasingly used as a wide term to describe machines that can mimic human functions such as learning and problem solving, but was originally founded on the premise that human intelligence can be precisely described, and machines made to simulate it. Technology and non technology companies are now investing and brining out the real and materialistic values of Artificial Intelligence to the real world.
Whoever has the best sense for choosing, organizing, uniqueness to combine machine and human skills outlook from the services to collect, clean and label data sets its a market for them that’s just getting started and millions yes billions of dollars are waiting
ML gets the problem-solving call in conjunction with deep learning artificial neural networks. As these jargons i.e AI, ML, DL or ANN etc may be getting their day in the sun, but they’ve been around for a while. It’s just in the past 5-10 years that they have gained traction, technology that was once niche is now becoming more mainstream and cost-effective reaching to common man. Until recent machine learning was known as historical phenomena in the worlds of academia and supercomputing.
What fascinated me most the explanation of such complex subject regression it was described as ‘ a tutor teaching students in an institute – if outcome is continuous use linear and if it is binary, use logistics’.