Cloud, says Neetan Chopra, is one of the foundational enablers of any enterprise transformation or disruption. Chopra is the chief digital and information officer at IndiGo, India's largest passenger airline. Prior to joining Indigo earlier this year, he held similar technology and digital roles at Dubai Holding and Emirates Airlines. A transformation, he says, means speed and velocity. It means business model experimentation.

How to get paid to ride in self-driving cars. Self-driving cars are gradually getting ready for prime time. To-date, the public roadway tryouts of self-driving cars have primarily consisted of having a human back-up driver at the wheel, serving to monitor the driving, and acting as a safety operator that can take over the driving controls if needed. This meant that any passengers in the self-driving car were still potentially reliant upon a human driver, albeit that much of the time the AI driving system was driving the vehicle. You've likely seen in the news that some of the self-driving car companies are now aiming to remove the back-up driver and let the AI do all the driving. As such, the occupants in the self-driving car will entirely be passengers, going along for the ride and not taking part in doing any of the driving.

Brazilian startup Cobli has specialized in technological solutions for vehicle fleet monitoring and management. It is currently focusing on safety and refining a tool to identify driver behavioral patterns by analyzing data collected by a solar-powered tracker. The project is based on machine learning, an application of artificial intelligence, and had the support from the São Paulo Research Foundation--FAPESP through its Innovative Research in Small Business Program (PIPE). "The algorithm uses the data collected to establish a driving profile with more than 90% accuracy," says engineer Rodrigo Mourad, a partner and co-founder of Cobli. According to Mourad, in one or two weeks of use, the system can glean a sufficient amount of data--on speed, acceleration, braking and curve angles--to produce a profile of the driver's vehicle handling habits. Directly linked to the question of traffic safety, these data also have an economic and financial impact on the fleet owner's business since aggressive driving increases fuel consumption and the cost of vehicle maintenance.