Record Evolution Blog
Our look at industrial IoT, IoT platforms, app development, and IoT data analytics.
SCADA systems still cover a range of application scenarios for the shop floor. So why does an IIoT platform make sense here?
Applications on industrial PCs are mainly used to operate machinery. But industrial PCs are also the building blocks for any IoT solution.
Get an IoT platform that can deliver the full spectrum of asset tracking capabilities and serve as the long-term basis for your use cases.
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We show you how we built a vacuum pump prototype from scratch, equipped it with sensors and a Raspberry Pi, built an IoT data collector app, and started reading out…
With the advances in IoT tech and app development, it is now possible to make cameras on the shop floor IoT-ready in only a few simple steps.
We look into the data preprocessing techniques in place to make sure that the data that gets into the long-term data histories is complete and free of error.
To see how combined IoT and AR applications can breathe new life into existing operations, it is essential to explore real-life use cases.
The confluence of IoT & AR holds the promise for more revenue, cost savings, and better transparency. Still, what are the details behind this trend and why should companies look…
IoT is changing the world of industrial manufacturing. And with this, manufacturers are shifting their focus on creating more sustainable industrial environments with an emphasis on customisation, remote data accessibility…
Industrial software will continue to be the go-to place when it comes to an accelerated journey from prototype to deployment or business outcomes related to speed and scale.
Machine downtime, defective equipment, inefficient processes — these can be expensive. Find out how anomaly detection at the IoT edge can help.
System integrators play a unique role in the world of IoT. But IoT platforms, too, are becoming more comprehensive, delivering end-to-end infrastructures.
To fully make use of enterprise data, it is best to use a platform that ensures a seamless transition from local edge systems to the cloud. Any enterprise operation that…
The benefits of industrial IoT applications are manifold, from a boost in productivity and operational efficiency to cost optimization.
IoT platforms are especially suited to host IoT apps as they ensure seamless integration with existing platform systems, often allowing end users to install, test, and deploy IoT apps.
IoT apps have become part of a whole new trend in IoT development that highlights a streamlined, seamless user experience while delivering robust industrial-grade products.
Both building a custom platform from scratch and investing in new technology has its advantages. Ultimately, however, it is business goals, in-house expertise, and cost that will play a role…
From selecting the hardware to choosing the right IoT platform, putting together a stellar team of domain experts, the complex web of IoT project work may be difficult to navigate.…
The possibilities unlocked by IoT apps can bring results all the way up to product development and pave the way to a new generation of services.
While building a solution from scratch locally may be a drain of resources, using an existing IoT platform allows you to leverage and adapt the entire platform infrastructure.
Simply making a large investment in IoT technology is not enough. To make the Internet of Things count for your company, you need an in-depth understanding of your business goals.…
The enabler platform does not absolve organizations from the need to strategize, plan carefully, and map out their IoT effort.
We provide a blueprint for creating your own capabilities grid to guide you through the IIoT platform selection process.
From identifying the right data to selecting the right strategy, you first need to map out the road to your kind of IIoT platform.
A viable IoT infrastructure should consider data privacy from the very outset and needs to embed data privacy into all aspects of its makeup.
As the IoT platform model is attracting a larger following and is carving its way into large industrial corporations, building open-source IoT platforms is a logical step.
We connect a Precitec device to the platform and install an IoT app on it to read out and visualize IoT sensor data.
As there is no clear consensus on what an open IoT platform means, we look into its different meanings and nuances.
When leveraged to the fullest, the cloud IoT platform can become the connective tissue binding together different operations and disparate assets, and providing a unified infrastructure.
This tutorial shows you how we use the REagent to provide the basic infrastructure to deploy Docker-based applications remotely.
Connect an MCC 118 board with a Raspberry Pi 4 and the Record Evolution platform for IoT data analytics to read and extract measurement data.
We show you how to connect an interface-free vacuum pump prototype to the Record Evolution platform to collect and analyze data.
As companies are working to consolidate knowledge & insight, and integrate legacy equipment, AIoT enters the world of manufacturing.
We present a common use case for reporting businesses: 1000s of static copies of dynamic reports produced by the Tableau Server.
Data-driven decision-making is an essential pillar of business development and investment. In this article, we show you our perspective on how reporting businesses can enhance insight generation with customized dashboards.
IoT app development is known for its capacities to enhance agility, productivity, and security. So what’s in store for 2021?
When IoT, Big Data, and AI are sufficiently addressed across the value chain, automotive companies can make full use of AIoT.
These industrial IoT (IIoT) platforms offer different approaches to IoT analytics, device management, application development and integration.
We have prepared a list of 6 IoT platforms that allow you to build a small-scale IoT project while exploring the full functionality of the platform.
Combining the best of all worlds, we have built our own data science workbook for interactive data analytics. Here you create collaborative documents using SQL, Python, and Markdown.
The more sophisticated the IoT system, the stronger AI capabilities it requires. And the true value of the collected IoT data only becomes manifest when it is combined with AI.
With the high demand for IoT solutions in the industrial sector and beyond, there has been an exponential growth in the number of IoT platforms.
As part of our work to enable open collaborative innovation, we have built the Record Evolution Reflasher, a flashing app for IoT devices.
We compare some of the most exciting IoT platforms on the market right now, the ones that tick off all the boxes when it comes to innovation: Balena.io, Particle.io, Thingworx,…
There are over 600 IoT platform vendors globally right now. You have generalized IoT platforms, industrial IoT (IIoT) platforms, and manufacturing execution systems for industrial enterprises. So what's the difference?
IIoT platforms are highly scalable, flexible, and interoperable. This is the hardware-and-software bundle that connects thousands of devices and allows for the management of multiple applications and massive data flows.
Imagine a world where IoT devices are fully-fledged actors in the social fabric, forming the phenomenon of social IoT.
Setting up a solid framework for the Industrial Internet of Things (IIoT) is at the heart of a long-term, robust environment for IIoT project development.
We take a look at the emergent phenomenon of the industrial IoT platform, the core capabilities, requirements, and the latest trends.
Today’s unprecedented levels of heterogeneity, volume, and connectivity call for IoT data management strategies that consider scale, data gravity, and integration.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture.
The increasing complexity of IoT implementation scenarios and the number of actors involved in end-to-end IoT development efforts within a company have brought unprecedented challenges.
IoT implementation is a highly complex, costly, and time-consuming effort. So why should it make sense for so many companies to throw themselves into the uncertain journey of implementing IoT?
The use of Wireless Sensor Networks (WSN) in a variety of (Industrial) Internet of Things scenarios has gained popularity over the past years.
We can think about the data generated by an IoT device as going through three separate phases: the data creation itself, collection and organization, and making data valuable.
This article discusses the features of a decentralized IoT edge computing ecosystem.
It turns out that uniting IoT and sustainability can be a powerful way of reducing global emissions.
Successful IIoT implementation projects require two major actors: the engineer and the data scientist. Yet how do you bridge the gap between these two mindsets?
This article lays out the constituents of what we call the fully rounded IoT development cycle - both tangible and intangible.
As a recent phenomenon, the emerging paradigm of the industrial IoT platform brings forth the promise of innovation and streamlining.
A cloud data platform is your counterpart in delivering value and responding to the concrete needs of companies dealing with data-driven processes.
Ever wondered how it is possible to get so much from the internet for free these days? Start with your free Twitter account and Google-searching.
This article highlights the need for an efficiently budgeted, differentiated approach to IoT. It lists the key features of custom IoT solutions and stresses the need for future-oriented approaches.
The IoT platform is a complete set of multi-layered services and integration capabilities that facilitates the management and maintenance of connected IoT devices and logic.
This article outlines the concepts of greenfield and brownfield and provides an overview of strategies for bringing IoT technologies to brownfield environments.
For a fully-rounded IoT development cycle, data scientists and data engineers can benefit from a comprehensive offering that distinguishes itself by its scope.
Back in August 2019, Gartner projected that the enterprise and automotive Internet of Things (IoT) sector will have integrated up to 5.8 billion endpoints by 2020.
Survey data shows that 43% of companies are looking at the digital transformation to increase competitiveness.