Allot IoTSecure

whitePaper | October 3, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.

whitePaper | June 28, 2022

Almost everything needs maintenance to ensure that it functions correctly. Parts wear out and need to be replaced but waiting till something breaks to replace it can be very costly. Unscheduled downtime can mean lost productivity, inconvenience or expensive overtime rates. Just think how much you would have to pay a plumber to come out at 3am on Christmas day.

whitePaper | December 27, 2019

Industry 4.0 ideals challenge supply chains to deliver advanced capabilities beyond those inherent in typical operating functions. Emerging digital technologies are enabling processes, partners, products and services to work harmoniously to enhance today’s highly interconnected and networked supply chain.

whitePaper | February 6, 2020

As the world’s growing need for energy meets the power of the Internet of Things, the traditional energy marketplace is rapidly transforming. Millions of meters and energy assets are connected and digitized each year, providing enormous benefits to the entire ecosystem: real time tracking of energy production and consumption data, optimized load balancing systems, streamlined operations and billing systems to name a few. As connectivity expands and the landscape is digitalizing, new distributed energy resources (DERs) and stakeholders are able to integrate into and expand the grid. DERs offer non-carbon resources that improve the energy sector’s overall carbon footprint, a key benefit for everyone.

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

whitePaper | January 8, 2020

Smart grid managers and Head End System (HES) vendors depend on data to drive their business. Receiving and analyzing accurate data from grid endpoints - the smart meters - is the main element that determines business success. Their customers, Distribution System Operators (DSOs) and Advanced Metering Infrastructures (AMI) managers, then use this data for crucial processes: monitoring energy demand and production, load shifting to maintain a persistent grid balance at all times and billing customers. Each tiny bit of data is the starting point for monetization and asset management and it must be accurate and trusted in order to keep power flowing.