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 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.

The global predictive maintenance market is expected to grow to $6.3 billion by 2022, according to a report by Market Research Future. However, a new paradigm is required for analyzing real-time IoT data. Predictive maintenance, which is the ability to use data-driven analytics to optimize capital equipment upkeep, is already used or will be used by 83 percent of manufacturing companies in the next two years.

Part of any managers role is to make sure their team is taking accountability. Managers are not the front lines resolvers that handle issues, that is what they have a team for. However, managers do need to be aware of incidents that are occurring as well as making sure their team is taking ownership and resolving those issues. SIGNL4 takes the managerial work out of being a manager by providing alert ownership transparency.

A lot has been written about the ever-elusive “Single Pane of Glass” (or SPOG). From calling it a myth like BigFoot or The Loch Ness Monster , to reporting that “a centralized, service-centric view into IT environments has become a must-have capability for IT Operations” (2018 Digital Enterprise Journal Study), both opponents and proponents admit that the implementation of a centralized view into IT Ops is a real need, but at the same time, a major operational challenge.