Unlocking Efficiency Gains Through AI: Shell and Machine Learning
Machine Learning has the potential to create billions of dollars of efficiency gains for oil and gas companies. Shell is the first big company to take the plunge. Will they succeed?
Machine Learning has the potential to create billions of dollars of efficiency gains for oil and gas companies. Shell is the first big company to take the plunge. Will they succeed?
As we become increasingly reliant on machines to perform our daily tasks — from answering our emails to driving our cars — we are exposed to the limitations of technology as it attempts to perform complex human operations such as natural language processing and image recognition. To address this, Facebook is leveraging its repository of user-uploaded photos to improve accuracy of image recognition technologies to enable computers — and people who are blind — to ‘see’ in natural contexts.
How professional baseball teams borrowed a strategy from airlines and musicians to strike back against secondary ticket brokers like StubHub.
Rapidly increasing frequency of cyber crime In 2017, more than 4000 daily ransomware attacks were recorded in the United States, up from a daily average of 1000 in 2015. According to a survey of 254 companies in 7 countries, an […]
Managing regulatory and reputational risk has become the top priority for the financial services industry in Australia in 2018 – so how will machine learning help?
With the increased penetration of e-commerce, declining in-store traffic, and retailer bankruptcies, brick-and-mortar retail is experiencing tremendous headwinds. Neiman Marcus has recognized that digital innovation is critical for the future viability of retail and is seeking to optimize and personalize the customer experience at every touchpoint using advanced analytics, artificial intelligence and machine learning.
ThyssenKrupp’s MAX is on the rise
Can machines appraise art? How about creating it?
Global financial institutions spend billions of dollars on credit card fraud. American Express is fighting this fraud through investment in machine learning.
Goldman Sachs is a global investment bank, struggling to monetize customer data in a highly regulated environment. How are they getting around these restrictions?