Check out the key areas where AI and machine learning are adding value for hospitals
See how firms are using machine learning in the alternative lending and funding landscape to curb fraud, get more complex insights into risk, make sounder funding decisions and achieve lower loss rates.
Check out this article that attempts to explain the terminology and delivery models adopted by public cloud providers. It aims to help business decision makers choose the right cloud-based ML and AI service.
See what types of AI applications are emerging to improve clinical trial efficiency and optimization, and how the healthcare market is implementing them.
See how the insurance industry is using artificial intelligence to turn raw big data into business-ready information
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 banks are using AI for reconciliations, risk assessment, compliance, trading, customer service, and more.
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.
According to the “Finance Redefined: Workday Global Finance Leader Survey,” data science is the most important emerging role for the future finance function across North America, Europe, and Asia Pacific, with statisticians and data security professionals reported as second and third.