Leading companies that are getting the most out of their data are not focusing on queries and data lakes; they are actively integrating analytics into their operations. Jack Norris reviews three customer case studies in ad/media, financial services, and healthcare to show how a focus on real-time data streams can transform the development, deployment, and future agility of applications.

While other industries have embraced the digital era, healthcare is still playing catch-up. Kaiser Permanente has been a leader in healthcare technology and first started using computing to improve healthcare results in the 1960s. Taposh Roy, Rajiv Synghal, and Sabrina Dahlgren offer an overview of Kaisers big data strategy and explain how other organizations can adopt similar strategies.

The need to find efficiencies in healthcare is becoming paramount as our society and the global population continue to grow and live longer. Navdeep Alam shares his experience and reviews current and emerging technologies in the marketplace that handle working with unbounded, de-identified patient datasets in the billions of rows in an efficient and scalable way.

Healthcare, a $3 trillion industry, is ripe for disruption through data science. However, there are many challenges in the journey to make healthcare a truly transparent, consumer-centric, data-driven industry. Sriram Vishwanath shares some myths and facts about data science's impact on healthcare.

We are entering a new computing paradigman era where software will write software. This is the biggest and fastest transition since the advent of the Internet. Big data and analytics brought us information and insight; AI and deep learning turn that insight into superhuman knowledge and real-time action. Jim McHugh shares real-world examples of companies solving problems once thought unsolvable.

Christian Monaghan explains how he and his team successfully migrated HealthCare.gov, America's largest government website, to the cloud infrastructure provisioning tool Terraform, shares lessons learned along the way, and details how you can effectively use Terraform for your next project.

What happens when an open source community develops around a group of patients who are frustrated with their medical devices? You end up with an artificial pancreas, of course. Dana Lewis, one of the original creators of the open source artificial pancreas, examines how open source communities enable innovation in unexpected placeslike healthcare.

Each year, 15 million people suffer strokes, and at least a fifth of those are due to atrial fibrillation, the most common heart arrhythmia. Brandon Ballinger reports on a collaboration between UCSF cardiologists and ex-Google data scientists that detects atrial fibrillation with deep learning.

How do you implement Apache Hadoop in a large healthcare company with a mature data-analysis infrastructure? Jeffrey Shmain and Mohammad Quraishi describe Cigna's journey toward big data and Hadoop, including an overview of new Hadoop capabilities like heterogeneous data integration and large-scale machine learning.

Over the past decade, machine learning has become intertwined with newer, Internet-born businesses. This despite the fact that the vast majority of global GDP turns on larger, less visible industries like energy and construction. David Beyer explores the ways these backbone industries are adopting machine-intelligent applications and the trends underlying this shift.

Margaret Stewart imparts four key principles for designing quality business products and explains why designing elegant tools may be the highest-impact opportunity that exists for designers today.