Subscribe Smart Manufacturing
IT/OT Convergence in Smart Manufacturing and Enterprise
IT/OT integration means using IT systems for OT purposes, consolidating data streams to support decision making and augment intelligence across multiple parties. For decades, Information Technology (IT) and Operational Technology (OT) diverged and developed in silos. Since the emergence of M2M communications several years ago though, slowly but surely, they have started to converge. As OT employs more sensors and connections to collect more data from equipment, devices and processes, it needs the security and standardization of IT to successfully process this data and store and share the insights between internal departments and external suppliers and customers. Unfortunately, up until now, a fractured solutions market and simple lack of communication between IT and OT departments have made it difficult to scale Industrial Internet of Things (IIoT) solutions designed to increase access to data. Only recently has the market started to consolidate and have companies started to solve their structural challenges to IT/OT integration.Continue
Reports & Data
Enterprises started implementing hyperconverged infrastructure in data centers half a decade ago. Hyperconverged infrastructure combines software-defined storage (SDS) and networking with virtualized computing over a hypervisor all on commercial, off-the-shelf (COTS) servers. SDS empowers end users to manage data independent of underlying hardware. A hypervisor or virtual machine monitor (VMM) creates and runs virtual machines (VMs). VMs execute multiple operating systems on the same physical server or machine. Hypervisor software presents a single administrative platform to run the VMs. Therefore, hyperconverged infrastructure presents a single administrative platform to manage data from multiple VMs on COTS servers.
In December 2017, ABI Research published the second iteration of the Industrial Internet Connectivity Tracker. The Industrial Internet Connectivity Tracker provides highly segmented data and forecasts through 2026 to support Industrial Internet of Things (IIoT) business initiatives and go-to-market plans. It includes three major application segments: Industrial Smart Glasses, Robotics & PLCs and Other Equipment Monitoring. Industrial Smart Glasses are augmented reality (AR) glasses used in manufacturing applications. Robotics & PLCs refers to industrial connected robots and connected programmable logic controllers, and other equipment monitoring covers connections for condition-based monitoring of stationary industrial equipment ranging from weight scales to pumps and tanks, mining equipment, batteries and elevators.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
Digital twins will minimize down-time, extend equipment’s useful life and help manufacturers meet new regulations. Early opportunities include monitoring of remote assets such as wind turbines, offshore drilling wellheads, jet engines and energy inverters as well as industrial equipment on the factory floor. When deployed successfully, these sorts of new technologies improve agility and decision-making, build in security and increase the exchanged of ideas between departments to simplify IIoT solutions and drive innovation. This webinar will cover an overview of what the Industrial Internet means today and the trends that will impact new business models and the deployment of new technologies such as digital twins in smart manufacturing.Replay
ABI Research’s Analysts Chair and Moderate Panel Discussions during IoT Tech Expo Global 2018
April 5th Webinar: Location Platforms: Value Chain Analysis, Technology Innovation & Business Transformation
Industrial Connected Sensors Revenue to Grow with a CAGR of 19%
Industrial IoT Platforms: A US$16 Billion Opportunity but Fragmentation and Technology Integration Prove Challenging
ABI Research’s New ‘Executive Foresights’ Focus on Real-World Triggers