Digital Twins, IT/OT Convergence Drive the Industrial Internet
Digital twins offer a way to apply advanced analytics to derive insights that, in turn, drive optimization of production and operation processes.
Digital twins offer a way to apply advanced analytics to derive insights that, in turn, drive optimization of production and operation processes.
Supported by the power of artificial intelligence, digital twins can be deployed for preventive healthcare and other medical use cases.
A new and improved strategy for detecting cyberattacks on manufacturing systems involves using AI to monitor a digital twin that mimics and is fed real-time data from the physical system.
By running simulations of different scenarios, a digital twin offers an accurate reflection of the current state versus the future state and can provide the insights needed for making evidence-based decisions.
A digital twin allows a business decision-maker to test and validate a complete set of strategies and objectives across teams and make smart decisions that improve the customer experience and maximize profitability.
The high-fidelity digital twins will help telcos optimize tower placement, manage networks, and build stronger, more stable telecom grids.
Digital twins help organizations understand and put into context the massive amounts of data available in autonomous factories.
Employing Industrial DataOps can help asset-heavy organizations create digital twins, which, in turn, can help organizations move APM into new domains, including the performance and sustainability aspects of their operations.
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational costs.
Nstream helps business build applications that use streaming data to enable sophisticated business logic, which, in turn has a valuable impact on the business.