Learn about use cases where machine learning can be applied to insurance applications, including insurance advice to consumers and agents, claims processing, fraud protection, and risk management.
See the potential machine learning has for equity markets in portfolio management.
See what types of AI applications are emerging to improve clinical trial efficiency and optimization, and how the healthcare market is implementing them.
Check out this presentation which is focussed on ML Systems at Spotify including less obvious pitfalls, which have caused troubles at Spotify. This talk assumes a certain level of familiarity with ML: You’ll get the most out of if you’ve some experience with applied ML, ideally on production systems.
See how healthcare organizations are using data science in order to get a firm grasp on the different flavors of artificial intelligence and how they can apply to specific use cases.
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.