Diabetes is one of the fastest growing disorders affecting population across the globe, where diagnosis remains as big a challenge as treatment. Will Machine Learning enable healthcare companies to develop an effective disease management solution?
Machine learning can improve the quality of surgical care while reducing the cost – how is this possible and what should you expect in the next decade?
How Artificial Intelligence and Machine Learning is revolutionizing data centers
Insurance giant AXA, frequently classified as ‘archaic and static’, is now embracing machine learning and real-time driver data collection to determine individual car insurance premiums.
What is Olay? Olay is a 66-year-old global skin care products brand within Procter and Gamble’s (P&G) $65 billion-dollar product portfolio. Olay products were sold in 80+ countries, used by 60+ million consumers as of 2012, [3] and generated estimated […]
Retailers are facing intensifying challenges including stagnation in brick-and-mortar sales, increase in e-Commerce offerings and sales, and changes in consumer browsing and purchasing behaviors. Realizing that data is one of its most valuable assets, Nordstrom is leveraging machine learning to secure a competitive advantage, remain afloat and survive the Amazon Era. Is it maximizing the value it can generate from ML?
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?
CS:GO is one of the most popular and competitive video games worldwide. In the past few years, reports of players using "hacks" in the game were increasing, negatively impacting customer satisfaction of CS:GO's user base. To counter this rampant cheating, Valve turned to machine learning and deep learning.
How can machine learning answer the centuries-old question of who we really are?
Facebook’s mission is to “Give people the power to build community and bring the world closer together”. However, the way Facebook employs machine learning algorithms promotes a narrow view of the world to its users. How can Facebook improve?
