Sephora harnesses user data to offer pinpointed product recommendations, offers, and loyalty incentives
Amazon is relying on open source innovation to build the capability of its cloud based voice service platform. The voice service is set to be the next biggest technological innovation that will change the way we control devices, interact with machines, and handle information. Amazon is providing a Alexa skills development platform for the third party developers to increase the utility of Alexa and the consequent consumer benefits. What are the next challenges for Amazon's Alexa?
American health insurer Cigna must balance the benefits of machine learning with the internal challenges that arise during implementation and the external ethical implications inherent to the healthcare industry.
(Image Citation – https://www.cigna.com/guideme)
Would you trust a robot to mange your money? That may be where some firms are headed.
This post examines the impact of machine learning and public perception on Tesla's autonomous vehicle product development process.
In the realm of music, Next Big Sound employs a data-centric approach to artist growth and strategy. Where future value lies for the company is in applying a similar model to the underlying product: music itself.
How machine learning is revolutionizing the drug discovery process and saving $$$
From startups to Big Tech, everyone loves to tout their strategy for leveraging machine learning (ML). These companies promise ML is our 21st century savior; it will not only liberate us from the tedious drudgery of administrative tasks but will arm us with near-perfect predictions. But the technology has a dark side, one that few companies adequately acknowledge and even fewer are equipped to handle.
Have the economics of investing in new drug discovery and development become so unattractive that investment in new drugs will come to a halt? GlaxoSmithKline and other bio-pharmaceutical companies are turning to machine learning as a potential solution to make the drug discovery process more efficient, with the hopes of greatly reducing both the time and cost associated with R&D.
A brief overview on Chinese government's vision for AI and its role in governance.