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OnPage's Latest Integration: Amion Physician Scheduling

Have you heard about OnPage’s new and exciting integration with Amion? Through this collaboration, healthcare organizations can improve clinical communications, resulting in better patient care. It’s a sure way to enhance the patient experience, ensuring that qualified, on-call physicians respond more effectively to urgent clinical matters (i.e., patient needs). So, how exactly does the integration work?

Building a Smarter Escalation Matrix with Uptime.com

The idea behind an escalation matrix is simple: the situation requires greater authority to resolve. Authority can take many forms, including experience with a particular toolset or simply the proper permissions to flip the right switches. Therefore, escalation must involve putting the proper information into the right person’s hands (well, device).

Outlier Analysis: A Quick Guide to the Different Types of Outliers

Success in business hinges on making the right decisions at the right time. You can only make smart decisions, however, if you also have the insights you need at the right time. When the right time is right now, outlier detection can help you chart a better course for your company as storms approach – or as the currents of business shift in your favor. In either case, quick detection and analysis can enable you to adjust your course in time to generate more revenue or avoid losses.

5G is Rolling Out: Here's How Cognitive Analytics Will Take Part in the Revolution

5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.

Deep Learning for Time Series Data (O'Reilly Artificial Intelligence Conference)

Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.