Condition monitoring is the foundation of predictive maintenance, giving organizations the ability to anticipate equipment failures before they happen. Instead of reacting to breakdowns, condition monitoring allows maintenance teams to track the ongoing health of critical assets and act only when needed. The result? Less downtime, lower costs, and longer asset lifespans.

In blog one of our “Preparing to Commercialize a Connected Solution” blog series, we outlined key questions to address as you look to automate the manufacturing, provisioning, and claiming of connected devices on a large scale. In blog two, we discussed items for consideration as you decide how you will monetize, price, and bill for your connected solution. Blog three highlighted things to consider for onboarding your end-users. Blog four, we discussed supporting your end-user after they are onboarded. Here, in blog five, we will discuss focusing on the value to your customers and quickly iterating on capabilities.

In our “Preparing to Commercialize a Connected Solution” blog series, we have covered topics such as automation in manufacturing of connected devices (blog one), monetization considerations (blog two), and onboarding end-users (blog three)  Here, in blog four, we will discuss supporting your end user after they are onboarded.

In blog one of our “Preparing to Commercialize a Connected Solution” blog series, we outlined key questions to address as you look to automate the manufacturing, provisioning, and claiming of connected devices on a large scale. In blog two, we discussed items for consideration as you decide how you will monetize, price, and bill for your connected solution. Here in blog three, we’ll discuss the topic of onboarding your customers to ExoSense.

In blog one of our “Preparing to Commercialize a Connected Solution” blog series, we outlined key questions for you to consider as you look to automate the manufacturing, provisioning, and claiming of connected devices on a large scale. Here in blog two, we’ll discuss items that are near and dear to your accountant’s heart: how you will monetize, price, and bill for your connected solution.

In our last post, we kicked off our “Preparing to Commercialize a Connected Solution” blog series and outlined the topics you can expect to learn more about in the coming weeks. As a reminder, the goal of this series is to help organizations understand the key considerations that need to be made in order to successfully transition from a proof-of-concept phase to full commercial deployment of a connected solution.

In our last blog post, we discussed some of the reasons an organization may want to consider adding a software component to existing hardware, including the ability to generate new recurring revenue, increase margins on hardware sales, and enhance the overall value of their business. We also outlined some of the challenges organizations face as they get started (e.g., limited experience with software development) and tips to address those challenges. 

At Exosite, we’ve worked with a large number of organizations that we call value-added resellers (VARs). These organizations often sell a hardware component that is used within a larger piece of equipment or machinery that is built and sold by an original equipment manufacturer (OEM). For example, a VAR might sell electronic controllers to a variety of OEMs, who use the components in different industrial equipment, like cement trucks, forklifts, and buses. 

While we have seen a flood of innovations in the field of digitization in recent years, the one with the greatest impact is the OPC UA communication technology. After years of proprietary Fieldbus communication, we now have a clear path to seamlessly connect different machines and production networks in the world of information technology.

Overview

Machine learning is proving to be an effective technology in asset-intensive industries, offering new insights that can be used to optimize production phases, reduce equipment downtime, and increase quality. But, as more and more organizations begin to integrate Internet of Things (IoT) and machine learning platforms into their business, it can feel like uncharted territory that requires expensive software and new human talent.

To support the different needs and requirements of each of your customers, it's important to have a variety of onboarding options without the burden of custom development. Exosite provides the flexibility solution providers need to quickly onboard new customers and begin generate recurring revenue.

As you may have heard, Adobe Flash is going end Of life (EOL) on December 31, 2020.  You may be asking what this has to do with IoT and condition monitoring of equipment and assets. Or, you may be starting to sweat as you ping your developers to see if this affects you. Over the last decade, many applications were created using Flash for device management, dashboard visualizations, and remote monitoring. In fact, you may not even know that parts of your web-based application rely on Flash, as it was a trendy go-to for UI development over the last 20 years. 

At Exosite, we have always been focused on connecting devices in a way that matters. To accomplish this goal, we have built a platform that expedites the process of connecting a device, so consumers can focus on the meaningful steps. We’ve also developed powerful integrations with strategic hardware and software partners whose offerings complement our technology and can help you accelerate connected product development.

Overview

Sensors can be fitted to industrial pumps to monitor a number of data sources, like RPMs, device and ambient temperature, electrical current, humidity, and vibration. This data can then be aggregated and incorporated into advanced algorithms that detect performance anomalies, predict machine failure, and enable preventative maintenance to reduce costly downtime.

A key value proposition of the Internet of Things (IoT) is the ability to derive value from data. In order to do that, however, you must be able to move data from the real world into systems that can help you make sense of it. As the IoT market has matured, more and more organizations have overcome this initial barrier, developing connected solutions that gather device data in the field and reliably communicate it to a cloud platform.