Using predictive analytics, the healthcare industry is combining real-time patient information along with traditional medical data, to diagnose patients before it typically would using traditional methods.
Check you how advancements in AI (artificial intelligence), big data analytics, mobile technology, and cloud computing have started to enable patients to take greater control of their medical care, leading towards a major shift in the patient-physician relationship.
Informative article on the Top 4 Machine Learning Use Cases for Healthcare Providers.
Check out how AI is being implemented at the 7 leading commercial banks in the U.S. as ranked by the U.S. Federal Reserve. The article discusses how banks are increasingly investing in this technology, what they are using it for, and the difficulties they face to obtain and retain AI and machine learning talent.
Take a look at the potential Machine Learning has for the insurance industry. This article researches the impact of AI in depth on America’s top 4 insurance providers: State Farm, Liberty Mutual, Allstate, and Progressive.
In the following article, William Schmarzo discusses the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
Titans of industry, such as global insurance brokerage Marsh and Aon, have already recognized the potential in blockchain and now, more companies are jumping on board to push the application of the technology in insurance even further. Read more about it…
Check out this insightful 12 minute video on Fortune’s Brainstorm Films explores the wonders and dangers of Artificial Intelligence.
4 Panalist from the TiEcon 2017 Conference discuss 7 use cases of AI & machine learning in marketing. Abhishek Pani – Sr. Director, Data Science & New Products, Adobe Harpinder Singh – CEO & Co-Founder, Slice Jessica Cross – Head of Customer Lifecycle, AdRoll John Bara – President & Chief Marketing Officer, Mintigo Moderated by: Nadim […]