Machine-learning algorithms use statistics to find patterns in massive amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you. If it can be digitally stored, it can be fed into a machine-learning algorithm.
Use email to send data and receive fully processed insights back within seconds to boost revenue and productivity.
Data is everywhere. But most of the data on the internet is unstructured and cannot conveniently fit into a table to store and analyze it; thus, it becomes necessary to learn how to make sense of this unstructured data.
Artificial Intelligence is largely the stuff of science fiction. But in a limited capacity, it does exist. As a result, some weird, wondrous, or downright scary things have occurred since people began to experiment with it.
We can automate a majority of manual tasks with the help of AI so that insurance companies can provide their services faster, cheaper and with fewer errors.
How have companies digitally transformed in the past, and what does it mean to be a truly digitally transformed company?
Colby Tunick, CEO and founder of Refocus AI, is ready to help you make sense of your brokerage data and explains why it's time to take control of your business. Colby shares how data can help predict which customers will be more profitable and which ones could cost your business money.
Insurance companies play a critical role in preparing communities for climate change. Using big data and AI, insurers are leading the way.
Ready to cross-sell your book of business and unlock the revenue you are missing?
The 0.4.0 release of ReFocus brings the ability to train your data as a Recommender System model.
