Predictive analytics can provide insights to make strategic decisions by utilizing a variety of statistical techniques, such as automated machine learning algorithms, deep learning, data mining and artificial intelligence, to create predictive models. Those models extract information from datasets, identify patterns and provide a predictive score for an array of organizational outcomes. This interesting topic came to us from Tech Talks in their article, “How can predictive AI transform customer connection?“
Predictive analytics can be used to predict important events in a customer’s life cycle and increase revenue during those times. Insurance companies frequently use this model by predicting when kids will get their drivers’ licenses or when customers will move to a bigger house.
As wider data management solutions develop AI capabilities, there is growing potential for businesses to make better use of the data they own.
To analyze data, it must be discoverable. Making data accessible is something we know a little about. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy.
Data Harmony is Access Innovations’s AI suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
