A recent press release reports, “Power Analytics Global, a next generation technology platform company that specializes in critical network infrastructure software monitoring, prediction, simulation and data-analytics, and Molecula, a Cloud Data Access company that simplifies, accelerates, and enables instantaneous, secure access to large, fragmented, and geographically distributed data sets to support the most demanding Machine Learning (ML), Artificial Intelligence (AI), and IoT workloads, announced today a strategic partnership.”
The release goes on, “The goal of the partnership is to deliver a combined offering for customers to cost effectively protect and enhance their critical revenue resulting in higher margins, customer retention and more informed capital allocation decisions. The combined offering will allow customers to drastically reduce the cost, time and complexity of accessing critical, operational data from globally distributed network assets and infrastructure. The hardened tools and real-time capabilities of this powerful combination enable our clients to incorporate, predict trends, and take action in real-time across relevant components of distributed data sets while lowering the hardware footprint needed to store, process and make decisions from the operational data streaming from these critical networks.”
It adds, “The Power Analytics suite of world-class software gives network infrastructure management and electrical engineering professionals control over their critical power infrastructure from design and modeling to simulation and analysis, saving millions of dollars, eliminating downtime, recovering stranded load capacity, reducing energy costs and optimizing business continuity. Power Analytics’ cloud platform and next-generation analytics Power Digital Twin (PDT), are built on proprietary intellectual property and decades of engineering and design expertise. Power Analytics boasts a portfolio of 24 patents. The platforms allow customers to take full control of their critical network infrastructure, reduce costs, automate operations, and improve business reliability.”
Read more at PR Web.
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