The signal and the noise, Ludwig Siegele (Economist, Mar 2016)
This video article examines the use of technology and analytics in politics. It discusses the use of data to target potential voters and increase votes for presidential election candidates, as well as the use of social media to grow political movements and the use of data to increase power for authoritarian political regimes.
Transforming into an analytics-driven insurance carrier, Ari Chester, Richard Clarke, and Ari Libarikian (McKinsey, Feb 2016)
A McKinsey and Company article which describes four stages of analytics integration within an insurance company; Building insights, Capturing value, Achieving scale and Becoming an analytics-driven organization. Truly Useful Artificial Intelligence Tools You Can Use Today, Bob Gourley (CTOvision, Dec 2015)
An article listing and providing links to a range of different Artificial Intelligence tools already available on the market, including AI for developers, healthcare, robotics, space and marketing and customer interaction. How Uber uses Spark and Hadoop to Optimize Customer Experience, Alex Woodie (Datanami, Oct 2015)
This article discusses various software solutions and methods that Uber has adopted in overcoming issues relating to collecting and analysing the very large car trip datasets it collects on a daily basis. Forget big data: what businesses really want is simple and easy, Ben Rossi (Information age, Mar 2015)
This article discusses some of the most common information challenges such as delivering self-service reporting and analysis, reporting and analysing across multiple systems and unlocking data buried in systems. It suggests that in many cases, businesses reporting should be focused on fast, easy, self-service access to data rather than “high end, hi-tech, hype” like big data, mobile BI, predictive analytics and data visualisation.