In May 2018, the General Data Protection Regulation (GDPR) goes into effect for firms doing business in the EU, but many companies aren't prepared for the strict regulation or fines for noncompliance (up to 20 million or 4% of global annual revenue). Steven Ross and Mark Donsky outline the capabilities your data environment needs to simplify compliance with GDPR and future regulations.

The ongoing digitization of the industrial-scale machines that power and enable human activity is itself a major global transformation. Joshua Bloom explains why the real revolutionin efficiencies and in improved and saved liveswill happen when machine learning automation and insights are properly coupled to the complex systems of industrial data.

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 …

Algorithms influence our everyday decision making, but at what point does innovation turn into invasion? Matthew Carroll discusses how regulators and consumers can take back control by inserting legal checks and balances into the data science process.

The objectives of this security track are to provide: 1. a primer on the shared goals and incentives of operator groups and anti-abuse groups, 2. a review contempo …

Uma Raghavan explains why you're about to see companies whose business models depend on using their customers' data, like Facebook, Google, and many others, scramble to keep up with the flood of new and evolving laws on data privacy.

Swisscom, the leading mobile service provider in Switzerland, also provides data-driven intelligence through the analysis of its mobile network. Its Mobility Insights team works to help administrators understand the flow of people through their location of interest. Franois Garillot explores the platform, tooling, and choices that help achieve this service and some challenges the team has faced.

Ads are annoying and intrusive and can compromise privacy, but, worst of all, they're disastrous for website performance. Bruce Lawson outlines the performance gains Opera has made by deploying a native ad blocker in its flagship browsers, explains how Opera did it, and explores how the whole advertising ecosystem can (hopefully) improve.

Federated analytics, a new approach to analyzing big data, supports unprecedented collaboration across large distributed datasets that contain proprietary and/or protected information. Gilad Olswang explains how Intel harnesses the power of federated analytics in the Collaborative Cancer Cloud project.

With the analytic and predictive power of big data comes the responsibility to respect and protect individual privacy. As citizens, we should hold organizations to account; as data practitioners, we must find intelligent ways to analyze data without violating privacy. Jason McFall discusses privacy risks and surveys leading privacy-preserving analysis techniques.

Martin Willcox shares the lessons he's learned from successful Teradata IoT projects about about how to manage and leverage sensor data and explains why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives.

In the last few years, auto makers and others have introduced devices to connect cars to the Internet and gather data about the vehicles activity, and auto insurers and local governments are just starting to require these devices. Charles Givre gives an overview of the security risks as well as the potential privacy invasions associated with this unique type of data collection.

User experience designers have an extraordinary opportunity to empower people to take control of their privacy. Ame Elliott shares examples of design for secure experiences and illustrates how UX can make systems more secure by addressing human behavior. Examples are applicable to a range of areas, including personal communication, business transactions, and government and nonprofit projects.