When David Duvenaud, an AI researcher at the University of Toronto, discovered a major shortcoming in AI, he found a solution. See how he did it.
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.
Take a look at how China’s “father of quantum” has helped lead China’s quantum efforts.
See the potential machine learning has for equity markets in portfolio management.
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.
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
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.