AIR Worldwide: Machine Learning’s Role in Risk Modeling
AIR Worldwide is leading the way in utilizing predictive modeling to identify, assess, and mitigate catastrophic risks.
AIR Worldwide is leading the way in utilizing predictive modeling to identify, assess, and mitigate catastrophic risks.
FDNA Inc. helps doctors to diagnose rare diseases with a camera of a cellphone
While machine learning and artificial intelligence technologies enable the CIA to process vast amounts of information, algorithms are far from replacing human spies. James Bond will still have his job.
Generally, machine learning is perceived for computer technology-driven firms. This article examines the use of machine learning in an old world industry such as oil and gas.
“Data is just like crude. It’s valuable, but if unrefined it cannot really be used.” [1]
Players in the automotive industry are getting prepared for major disruptions to come in the next 10 to 15 years. Urban mobility (car/ride/bike sharing) and autonomous vehicles1 are disruptive trends that heavily rely on machine learning. A concern for traditional […]
CPG companies strive to make supply chains more tech enabled to increase efficiency, improve profits, and better cater to the customer. Colgate-Palmolive is doing it well.
Los Angeles has one of the world’s worst traffic congestion problems. In an effort to alleviate the “car-mageddon”, the City has started to digitize traffic patterns through partnerships with various information systems companies.
Adidas strategy to grow is “to be the first fast sports company in the sporting goods industry”. The company is digitalizing its entire supply chain – from design to distribution – to achieve this goal. Can Adidas be successful in this endeavor? What does it take to become the “Zara of the sport industry”?
As consumers and enterprises demand more data and subsequently data storage, IBM is in a prime position to be the leader as a solutions provider.