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Jeff Erickson
For you this week:
We ask how far sports fans will go to get their snacks, and we see what steps Asia’s top budget airline is taking to get even smarter and faster. Next, we look into the ethical questions software engineers are asking themselves as technology speeds ahead. Lastly, we hear from Oracle CEO Mark Hurd about the economic forces driving businesses to the cloud – and his predictions about when they’ll make the move.

By Jeff Erickson, Oracle Editor-at-Large  
Oracle survey
Drone Me Some Peanuts and Cracker Jacks
Fans are ready to try a range of technologies to speed food and drink purchases at sporting events, according to a new Oracle survey. Even the least popular of the given options—payment by facial recognition—is something that 41% of US fans say they would definitely or probably use. What the survey suggests about other technologies that may be coming to a stadium near you.
Mark Hurd
Mark Hurd: Why Smart Businesses Choose the Cloud
Smart businesses don’t want to manage decades-old computer hardware and highly customized software running in expensive company-owned data centers, says Oracle CEO Mark Hurd, who predicts that “by the early part of the next decade, 40% to 50% of workloads will be in the cloud.” How the shift benefits Oracle and its customers.
Asia’s Budget Airline King Flies Higher with the Cloud
AirAsia CEO Tony Fernandes says his carrier uses technology to compete. The Southeast Asia–based carrier is proficient at containing costs and boosting revenue via online and mobile sales of tickets and package tours. Now it’s using cloud-based financial management and procurement to get more insight into operating costs and predict the profitability of decisions, such as opening new routes. Next up? The airline is looking into using artificial intelligence to set prices.
Ethical Engineering
Software Developers Explore Ethical Engineering in Berlin and Rome
Just because you can build it, should you? Ethical questions in development were a big part of Oracle Code in Europe this year. For example, data scientist Brendan Tierney created an app to enable drivers to monitor their alertness via mobile phone camera, face detection, and machine learning. It could save lives but might also be used by insurance companies, creating privacy concerns. Also, how do you program bias out of autonomous systems?
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