Freedom or safety? Giving up rights to make our roads and cities safer and smarter

Energy usage is a significant part of daily life, so the ability to monitor this use offers a number of benefits, from cost savings to improved safety. A key challenge is the lack of labeled data. Yiqun Hu shares a new solution: a RNN-based network trained to learn good features from unlabeled data.

It's a jungle out there! Modern apps are built around microservices, linked by a complex mesh of connections like sprawling vines. And just like in the jungle there are predators out there waiting to …

Users will expect reliability, safety, privacy, ease of use, scalability, and autonomy (ie, they work even when NOT connected to the public Internet). There are ma …

How can we drive more data pipelines, advanced analytics, and machine learning models into production? How can we do this both faster and more reliably? Graham Gear draws on real-world processes and systems to explain how it's possible to apply continuous delivery techniques to advanced analytics, realizing business value earlier and more safely.

Smart cities and the electricity smart grid have become leading examples of the IoT, in which distributed sensors describe mission-critical behavior by generating billions of metrics daily. Mark Donsky and Syed Rafice show how smart utilities and cities rely on Hadoop to capture, analyze, and harness this data to increase safety, availability, and efficiency across the entire electricity grid.

Baogang Song shares Pinterest's unique journey adopting Docker technology. Baogang highlights how Pinterest used Teletraan, its code deploy system, to safely deploy dockers in production with little effort and limited Docker operational experience.