The symbiosis between Natural Language Processing and Machine Learning is what is known as Cognitive Intelligence.
Making predictive applications has never been so easy and cheap as now.
The financial sector has experienced in recent years important growth and integration processes, a continuous and accelerated incorporation of new technologies to the business, and the universal deployment of the concept of multichannel.
Content recommendation systems have become very popular in recent years. Among the most widespread are the recommendations of products in online stores, movies, videos, music, books, products or profile recommendations to follow on social networks.
I do not think there is a common and unique position in the world of data about the difference between one and the other.
The characteristics of the retail sector make it an ideal terrain in which the use of Big Data combined with predictive analysis techniques make an excellent match for the business.
Lead scoring has become a basic tool within the inbound marketing strategy of any retailer or e-commerce.
Deep Learning, also known as deep neural networks, is an aspect of artificial intelligence (AI) that deals with emulating the learning approach that human beings use to obtain certain types of knowledge.
“AI winters were not due to imagination traps, but due to lack of imaginations. Imaginations bring order out of chaos. Deep learning with deep imagination is the road map to AI springs and AI autumns.”