Amid growing cost pressures and evolving care demands, orthopedic groups are rethinking traditional operations to achieve smarter growth. At Becker’s 22nd Annual Spine, Orthopedic and Pain ...

It doesn’t sit in a glass-walled server room or require teams of data scientists on payroll. Yet, AaaS is becoming the ...

In this paper, we address the subspace clustering problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to cluster the samples into their ...

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It supports both day-to-day operations and long-term strategic goals by making ...

Sundarrajan Ramalingam spearheaded a transformative analytics initiative at Sears Global Technologies from 2013 to 2017, implementing a comprehensive suite of data-driven solutions that ...

The intelligence gap is more than a technical hurdle—it’s a strategic barrier keeping CMOs from realizing AI’s full value.

Tables S1 and S2: summary of calculations and experimental data and assessment of ML model qualities. Figure S1: structures of the opioids. Figures S2 and S3: additional comparisons between ...

Rapid growth in numbers of connected devices including sensors, mobile, wearable, and other Internet of Things (IoT) devices, is creating an explosion of data that are moving across the network. To ...

If you're an experienced analyst, The Art of Data Science by Roger D. Peng and Elizabeth Matsui gives you a deep look at complex methods. This book takes a look at analytics, starting with asking ...