In the future, we believe that Machine Learning technology will be increasingly applied to solve information and intelligence problems. Machine Learning is often expressed in different ways (e.g. Artificial Intelligence (AI), predictive analytics, data-mining, deep learning, forecasting, Natural Language Processing, Simulations), but basically it is all about algorithms that analyze data to find models that can be used to predict outcomes or understand context with significant accuracy and improve or “learn” as more information is made available.
The goal of any analytical effort is to leverage information and ask the right questions in order to improve business results. Now more than ever, decision makers require intelligent ways of gathering knowledge and making decisions, helping them to extract actionable intelligence from constantly evolving information.
This is where Machine Learning based intelligence systems can support by empowering users to identify information, trends and patterns that warrant attention.
But rather than replacing humans in the future, it will augment human intelligence and enable people to gain expertise and reach insights much, much faster.
Want to read more about Machine Learning and Intelligence?
Don’t miss our new blog series, based on the article “Machine Learning Implications for Intelligence and Insights”, written by Jesper Martell , Comintelli, and Paul Santilli, Hewlett Packard Enterprise.