Capturing Value Through Machine Learning, Shell Adapts The Era of Low Oil Prices
Exploring how Shell has leveraged machine learning to adapt the era of low oil prices through predictive maintenance, optimization and safety applications
Exploring how Shell has leveraged machine learning to adapt the era of low oil prices through predictive maintenance, optimization and safety applications
With their machine learning-enabled OncoEMR platform, Flatiron is giving oncologists the power of big data at the point of patient care.
Autonomous driving is one of the applications for machine learning and is going to change entire automotive industry. How the traditional car maker, such as Volvo Cars, is preparing for this trend?
I spent 6 years in the Propulsion Product Development (PD) team at Boeing. During this time, additive manufacturing (AM) has gained recognition as a technological solution that could significantly improve product development cycles, design and manufacturing at Boeing. While Boeing […]
In 2009, New York City launched the BigApps competition, inviting citizen-hackers to work together to create applications that improve the lives of New Yorkers. BigApps spurred a grass-roots movement for an Open Data law and served as a fecund source of ideas for the Mayor’s office. The City of New York should increasingly use design thinking processes for application development. In addition, BigApps should challenge citizen-hackers to produce solutions to diverse problems, beyond the quotidian experience of software developers.
How TeachersPayTeachers is harnessing the rise of open innovation in K-12 educational curriculum development.
One might not expect a 152-year-old paint company to have an intense focus on open innovation. But Sherwin-Williams, the largest global producer of coatings (i.e. paint products), is doing just that.
Normally sluggish to adapt, the military is taking swift action to utilize cunning edge tech in combat training
Heineken engages in co-creation with its global consumers as a core part of its innovation strategy.
Properly assessing a diagnostic image in radiology is imperative to a positive patient outcome. Unfortunately, there are major challenges that confront most radiologists, but AI and ML can help.