Anticipating the technical revolution around the corner, Nokia took a longer view and made a strategic shift to become a wireless-equipment company. Recognizing limitations in its research, manufacturing, and human capabilities, Nokia invested in open innovation to improve product development. In 2014, Nokia scaled down its Research Center from 1,300 people to 80 people and acquired Bell Labs, whose culture centered around innovation. Bell Labs has 17 research centers and a Nobel Prize-winning team. It launched Bell Labs Prize competition to encourage innovators around the globe to create 10x game-changing ideas and proposals in the general field of information and communications technologies. By leveraging open innovation, will Nokia achieve Future X? What are some challenges it should anticipate?
Danone teams up with a start-up to explore artificial intelligence in the dairy industry. Can a FitBit for cows keep farmers happy and cows healthy with long-term benefits to the conglomerate’s supply chain?
Mobileye uses deep learning and crowd-sourcing to sense, map, and navigate the road. New ownership under Intel can help provide the processing and connectivity needed to take this technology to the next level, but with data being the driver of success, how can Mobileye build a broad network across automakers in a competitive market?
Introduction: Today, there are 560,000 “connected” Caterpillar machines – from back-office forklifts to high-powered 50-ton excavators – that have been outfitted with connectivity solutions designed to cut costs and drive productivity for customers.  Caterpillar, the leader in machinery innovation […]
Exploring the potential of the Digital Oilfield in revolutionizing the oil & gas and energy industries.
The use of Machine Learning and Internet of Things to increase employee productivity
Samsung is one of the main competitors within the Internet of Things Space. Traditionally, Samsung has developed consumer electronics but as we move into a world of “smart” everyday objects, Samsung must be able to not only produce great hardware but also software that will bring those ordinary objects to life in a way that attracts customers away from their competitors.
A longtime staple for family-friendly vacations, Disney theme parks are using machine learning to add to the magic.
Walt Disney World is using wearable technology and machine learning to provide a more personalized (and more efficient) experience for their visitors.
Yesterday, Alibaba reached $31B of sales in 24 hours in the Singles' Day Shopping Festival. Alibaba is able to deliver 100 million packages in 2.8 days. This miracle is enabled by its huge investments in the logistics sector and by technologies including machine learning. Will Alibaba be able to reach its aspiration of becoming the ultimate aggregator in the logistics sector in China? Is its growth in the logistics sector sustainable?