Organizations of all sizes are discovering that measuring, automating and visualizing almost every aspect of the enterprise amounts to orders of magnitude greater efficiencies…

 

The promise of computing has always been to realize the next level of efficiency. It’s the next Industrial Revolution at our doorstep. Finally even mid-sized companies can ultimately realize significant advances in data-driven management. The accessibility, visualization and utilization of key metrics is advancing rapidly. But there is an important part of the infrastructure holding things up…

 

The True Potential of Process Automation

Historically data driven automation has proven expensive and difficult to develop and manage.  The underlying reason is simply that these systems have almost universally been hand-coded on ad-hoc frameworks.

 

This means every node, on every connected device and database requires someone to program every aspect, from logic, data storage to complex interconnectivity as a one-off solution installed by techs on location, one device at a time...

The Low-Code Generator

Low-code got its name from the intention to minimize the amount of coding required. Rather than hand-coding from a wide range of frame works, development environments and languages, we generate a reliable code base that spans the whole stack. Our systems deliver a code base with a robust architecture, where the issues of interoperability between devices, data types and applications have been solved and automated. Global system updates can be made in a fraction of the time required to hand-code and everything can be virtualized and modeled.

 

Installation, maintenance and updates are all streamlined and become orders of magnitude more reliable.

 

 

The Virtual Model Advantage

Most companies spend large blocks of high-value mindshare working out what to build and how it’s used before they even get started actually coding and installing sensors, systems and dashboards. Our integrated development environment allows management teams to focus on objectives and work out what really needs to be measured, how it gets visualized and used.

 

Collaboratively gain consensus on what to measure and how to visualize the data.

Define the business processes that matter and measure the results.

Get the data where it is useful and in a context that is actionable.

 

Having control is all about delivering clear and efficient work flows that make sense to the people who use them.

Dynamic Systems

Computing systems are anything but static code. Consider everything that needs to be kept up to date; from potentially thousands of ongoing firmware device updates at the edge, software and operating system updates, standard DevOps procedures, data backups and perhaps most importantly, the perpetual need to stay ahead of security… The cold hard fact is that today’s computing systems have dynamically changing requirements.

 

Hand-coding complex multi-site, multi-node IoT systems is just not an option anymore.  Arica’s low-code solution for IoT infrastructure solves a large part of these challenges by standardizing code generation.

 

We can finally systematize the generation of a standard code-base for the whole stack.  Reduces costs, errors and improves efficiency.

Fastest, Most Reliable

Low code is simply the fastest, most efficient way to develop new applications. Even the initial systems can be conceptualized, tested and built more efficiently.  In the past, prototypes were the only way to test.  With Arica, we are able to simulate data models on a virtual IoT system. This enables us to see the effects of swapping out sensor types and to check performance scenarios before the time and expense of building prototypes.  It goes beyond the initial reduction in cost, with Arica you can get to market in a fraction of the time required with hand-coding.

Solving Interoperability

There are few global standards for data. Interoperability is not in any way trivial.  With thousands of device types, over a dozen communication protocols, multiple operating systems, innumerable storage options and numerous competing frameworks, interoperability is the biggest reason for IoT initiatives to fail or be abandoned.

 

We are solving this problem with intelligent API mapping, translating how device types, protocols and applications interoperate.

 

 

Unify Siloed Data

Arica is run by data scientists. Our primary interest is putting data to work.  Many organizations have historically siloed business units that have been collecting their own data. They may not even know the value of what they know to another part of the organization, and the other might not be able to see the value in the raw data.

 

Arica makes it easier to connect those data sets and to create understanding.

 

 

Virtualization: The Digital Twin

Digital twins were a huge step forward in maintaining industrial process flow anduptime.  Arica is in essence a virtual twin for your Industrial IOT solution.  It is now possible to identify the weak spots, the places where transport costs are overrunning budgets and possibly where performance anomalies from the wrong sensor choice are causing bad data before they start to make costly errors.  You can now spot problems well ahead of anything that even resembles a curve. The whole system gets out of the reactionary phase of fixing emergencies and problems to deliver constructive maintenance.

Foundation of Machine Learning

We enable the institutional learning that allows for a new level of analytics, data mining and machine learning. Because process automation is the future, but machine learning is the intelligence that is enabled by it..

 

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