“Financial institutions are already using artificial intelligence to cut costs and deliver new services. But what about the customers? In 2020, we will start to see more and more AI-powered financial services for customers and by customers.” https://www.wired.co.uk/article/future-of-banking-robots Image Credit: Nick D Burton
Month: December 2019
The book to start you on Machine Learning
“A question a lot of ML practitioners get asked a frequently is: “What can I do to start being able to actually build Machine Learning projects and solutions?” Purchase at >> “ “); background-size: 1px 1px; caret-color: rgba(0, 0, 0, 0.843137); font-family: medium-content-serif-font, Georgia, Cambria, “Times New Roman”, Times, serif; font-size: 18px; font-style: normal; font-variant-caps:…
Devil’s in the details in Historic AI debate
“Gary Marcus, the NYU professor and entrepreneur who has made himself a gadfly of deep learning with his frequent skewering of headline hype, and Yoshua Bengio, a leading practitioner of deep learning awarded computing’s highest honor for his pioneering work, went head to head Monday night in a two-hour debate Webcast from Bengio’s MILA institute…
XAI—Explainable artificial intelligence
“For many critical applications in defense, medicine, finance, and law, explanations are essential for users to understand, trust, and effectively manage these new, artificially intelligent partners The purpose of an explainable AI (XAI) system is to make its behavior more intelligible to humans by providing explanations. Accuracy versus interpretability – Interpretability needs to consider tradeoffs…
CIO outlook 2020: Building an explainable AI strategy for your company
“Four steps to building an AI-ready business Introduce AI Learning – Everyone in the company should have some knowledge of AI, so train them with one of the many online courses available today. Identify the Business Problem – Where would we like to cut costs? Where do errors most often occur? What parts of the…