Reply to this post agree or disagree and explain why

Deep Learning, on the other hand, analyzes the data continuously in a manner similar to how a human would. The structure is inspired by the human brain neural network. We can use AlphaGo by Google or chess as examples, where the machine quickly picked up the abstract board game that requires intellect and intuition just like a human would. But the machine was quick enough to learn and reach a level of expertise to play with the professionals.

Nowadays data is huge and there is a need for deep learning to learn from it and draw insights. In other words, it can be used to make marketing decisions that require intuition to understand people's perceptions. Beyond that, the company can also test whether the product would be successful or not before launch, by deep learning.

Customer lifetime value can be understood by learning about the buyer's persona. Thus, multiple inputs can be used to project an ideal persona.

Deep learning can be used in areas where humans' capabilities may be limited. Artificial intelligence is also being used in practical applications to analyze large data sets and come up with standard solutions that are free from human bias.

To gain meaningful insights, artificial intelligence algorithms analyze customer data related to their browsing history. With this information, businesses can make more informed marketing decisions. For example, you may run marketing campaigns to target prospects, send product recommendations, and send personalized emails to offer customers exactly what they want when they want it.

Rose, Scarlett. (May 2020). How artificial intelligence helps to improve decision making. Becoming human artificial intelligence magazine.