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The Potential of Vision AI for Industrial Deployments

Vision AI does not only replicate human vision but can also go beyond that in offering highly accurate accounts of environmental features that are not readily visible to the human eye. However, while edge AI has been around for a while, enhancing edge capabilities with computer vision is still a novelty. Those who have ventured into improving production processes, safety, and quality with the help of vision AI, however, are already reaping the benefits. 

When equipped with vision AI, industrial enterprises can take full control of their assets on the edge and build a truly collaborative foundation for a multitude of use cases. This will allow them to tackle the challenges of a dynamic setting that includes many unknowns.

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Beyond SCADA: Consolidating Your OT With an IIoT Platform

Industrial enterprises use SCADA as a process control system to monitor data acquisition processes and oversee various related workflows. The data coming from OT devices is taken in by SCADA systems and integrated into the SCADA ecosystem as applications covering a range of use cases for the shop floor. So why does an industrial IoT platform still make sense here? 

One downside of SCADA is that these systems are not made for rapid scaling. They do not accommodate change so easily. Most of the time, the processes are slow and inflexible. Further, the data collection processes, though robust, have their limitations. They are usually only suited for monitoring, supervision, and sending out alerts at best. More sophisticated analytics or use cases based on machine learning are out of reach. 

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Top IoT App Development Trends in 2021

More Focus on Container Technologies in IoT Platforms

Gartner projects that over 75% of global organizations will be using containerized apps in production by 2022. So far, container technologies have been part of traditional enterprise IT environments and cloud architectures. Recent developments in industrial IoT platforms and the increased demand for vendor-neutral IoT technologies, however, have made containers increasingly relevant for the Internet of Things. 

Defining Containers

What is a container? It is a lightweight virtualization technology that includes an entire runtime environment. This means an application and all its dependencies, plus the libraries and configuration files required to run the application. Container technologies help you abstract differences in operating systems and underlying infrastructures. This is why they are often embedded in IoT platforms so that you can connect to any device and make virtually any machine or piece of legacy equipment IoT-ready. 

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Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.  

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IoT Platform Comparison: Six Vendors to Keep Watching in 2021

We compare some of the most exciting IoT platforms on the market right now, the ones that check all the boxes when it comes to innovation: Balena.io, Particle.io, Thingworx, Siemens Mindsphere, Adamos, and Record Evolution.

What Is an IoT Platform?

An IoT platform is the middleware and the infrastructure that enables end-users to interact with smart objects. They function as the software bridge between the hardware and application layers. The IoT platform orchestrates the movement of data between IoT devices and IoT applications, providing application-level capabilities for humans to interact with the IoT system.