Beauty in the Age of Individualism: Sephora’s Data-Driven Approach
Sephora harnesses user data to offer pinpointed product recommendations, offers, and loyalty incentives
artifical intelligence
Open Innovation at Amazon Alexa: Crowd-sourcing Its Way to Platform Dominance
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?
Coding the Way to Better Patient Outcomes: Machine Learning at Cigna
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)
Rise of the “Robo-Advisor”
Would you trust a robot to mange your money? That may be where some firms are headed.
Tesla: Driving Into the AI Future?
This post examines the impact of machine learning and public perception on Tesla's autonomous vehicle product development process.
Could Daft Punk Actually Be Robots? How Machine Learning Could Redefine Musical Creativity at Next Big Sound
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.
Drugs – can machine learning cure the world faster and also save Billions?
How machine learning is revolutionizing the drug discovery process and saving $$$
The Dark Side of Machine Learning: An Amazon Case Study
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.
Can Machine Learning Save Innovation in Pharmaceuticals?
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.
Using Machine Learning To Rule – The Chinese Communist Party
A brief overview on Chinese government's vision for AI and its role in governance.