The Curtain is Going Up on GDPR
The deadline for compliance with the EU’s General Data Protection Regulation (“GDPR”) is here and, according to SC Magazine, many companies are still far from being fully compliant. View the SC Magazine ebook for insight on the areas that organizations should prioritize as the countdown to GDPR enters its final stage.
GDPR Compliance: Building on the Past, Preparing for the Future
With its sweeping scope, demanding requirements and significant enforcement fines, the European Union (EU) General Data Protection Regulation (GDPR) is not quite like any other privacy regulation—which can make compliance with it seem quite a daunting proposition. But it’s important to remember that even though many aspects of the regulation are unprecedented, GDPR didn’t come out of nowhere.
Harvard Business Review: Living in GDPR’s World
How Companies Can Survive and Thrive Under a Demanding New Set of Data Privacy Rules.
Infographic: Thrive In a GDPR World
The GDPR represents a new way of doing business. With strict requirements around data privacy and protection—and big penalties for noncompliance—the GDPR is accelerating the convergence of business risk and IT risk. With the right tools and processes, organizations can address the GDPR while gaining the benefits of a Business-Driven Security™ strategy.
GDPR Compliance: The Technology Essentials
In accordance with the European Union’s (EU’s) new General Data Protection Regulation (GDPR), organizations around the world are putting in place measures to protect EU residents’ personal data. Given the unprecedented scope and complexity of GDPR, compliance with the regulation is no small task.
DevOps Without Measurement is a Fail
Achieving success across the five drivers discussed here – innovation/ business success, customer experience, application performance, speed, and quality – would be impossible using a traditional waterfall approach to software development and deployment. Data-driven DevOps makes success in all five areas a reality.
Machine Learning on AWS: Bringing the Power of AI to Today’s Businesses
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers’ experience—from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go.
