By Terri Foudray, ConvIOT® CEO and Founder

The Internet of Things has created an explosion of data – more sensors creating more data on the factory floor than ever. So many manufacturers look to the Cloud to improve efficiency and performance in their production lines. We see this especially in industries such as chemicals, pharmaceuticals, cosmetics, paint & coatings and food & beverage. But is a Cloud-only approach enough to get the results you’re looking for? We see Cloud as only part of a bigger picture.

• The cloud is essential for long-term organizational learning. A tsunami of data is constantly being created from machines, people and processes. Not all of it can, or should, be processed at the moment it is created. The Cloud allows companies to analyze large amounts of data and look at what happened after the fact, and apply Artificial Intelligence, Machine Learning, and Business Intelligence that predict and improve processes. The data isn’t used in real time, but later. The only problem is that as data ages it becomes less valuable – it’s several steps away from the factory floor. So, it’s important to add a real-time learning and acting component to squeeze out that last inch of productivity and efficiency.

• Edge computing adds always-on immediacy and low-cost management. The Edge adds the essential real-time element to Cloud. Unlike Cloud, the Edge is deeply embedded right into the manufacturing process, always present, taking the pulse of the entire organization in the moment. And the Edge applies Artificial Intelligence, Machine Learning and Business Intelligence right to the point of need, so companies can take predictive and prescriptive action, rather than just react. The Edge also eliminates the need to transport volumes of data to the Cloud.

In our experience, we see some manufacturers start with a cloud-based IoT strategy, and then have to unwind their cloud-only approach when they see it’s not providing everything they need – that last inch of productivity. A few start with Edge. But whether you have included Edge in your strategy or not, you will. Remember that like Cloud, Edge isn’t a particular thing – it’s a strategy. Using an Edge strategy helps you see and automate action now, while Cloud helps you avoid mistakes or inefficiency in the future. They work together for a more efficient and productive approach to real-time factory floor management. So, call the experts before you get too far and we’ll show you how to blend Cloud and Edge together to get the greatest productivity with the least waste.

To learn more, hear what IoT and Edge pioneer Perry Lea has to say [ ]

By Terri Foudray, ConvIOT® CEO and Founder


Every company that makes things walks a like between efficiency and productivity. Even the largest and most sophisticated organizations use these terms interchangeably. But while they’re related, they have different definitions.

Let’s start with efficiency, which concerns QUALITY. The simplest definition is that there is a target or potential output, and efficiency is how close you come to that. A machine has the capacity to produce 10,000 gallons of something per hour, but it only produces 6,000, so it’s 60% efficient. So, the things that hurt efficiency at a manufacturer are things like downtime, hiccups in the supply chain, waste, low quality, and other things. Efficiency is all about working smarter, to get more out of less.

Productivity, on the other hand, is a measure of the total output in a given amount of time, or QUANTITY. Using the example above, a machine is more productive if it can make 10,000 gallons per hour, but you find a way to make 11,000. Efficiency is a component of productivity, but productivity is about increasing the overall yield, achieve greater results.

Clearly both productivity and efficiency matter. But in most businesses, particularly those in traditional manufacturing, having productivity without efficiency is a sure way to kill the business.

What if you had a platform that could drive both efficiency and productivity? What it takes is an always-on “Management Sherpa” for seeing, learning and acting to manage your factory floor in real time and preemptively. This would address the efficiency aspect. And with such a tool you’ll be able to run your processes better with less waste, less unplanned downtime, and better quality/safety. And you’ll be able to run your business better – more productivity – through unified control and easy-to-use tools for better decisions. This takes both #EdgeComputing and #Cloud.

Just coincidently, this is exactly what ConvIOT® does. Run your processes more efficiently, and get the insights you need get more out of what you already have. To learn more, send me an email at

Remote patient monitoring systems that incorporate IoT tracking devices using active RFID or Bluetooth Low Energy (BLE) as edge nodes are becoming more common in hospitals, outpatient clinics and healthcare centers. Such systems might also include equipment tracking as well as personnel location.

Patient Psychology Directly Related to Patient Outcome

It is well-documented in hospital and healthcare centers that the psychology of the patient is directly correlated to patient well-being. Well-being can be influenced by the patient experience when visiting a healthcare facility for service, particularly when that service is a surgery or outpatient procedure. New research has shown that patient psychology during pre-surgery proceedings can have an impact on both short and long-term patient outcomes. Patient re-admittance for complications or additional surgery is costly to the healthcare facility from a revenue and reputation standpoint.


There is a very real need for assessment and remote patient monitoring after check-in, during their experiences leading up to entering the operating room for the procedure, and more commonly lately, after the return home. In a busy hospital or outpatient environment, incidences can occur that impact the patient and can raise anxiety. Unlike many other services that a hospital or outpatient clinic might offer, during pre-op charge of the patient often passes through multiple departments. Poor or casual intra-department communications at this time can lead to misunderstandings. Patients are routed incorrectly, and wind up traversing the same space more than once. They can be left in areas not designed to accommodate them, such as hallways. Bottlenecks in the traffic flow can stack patients up waiting behind other patients for service. These and other preventable issues cause patients to believe that their circumstances at this traumatic time are not controlled. Anxiety increases, and the new research shows that as a result, patient outcomes can be impacted, which affects reputation and revenue for the facility.

Remote Patient Monitoring and Tracking Stabilizes the Patient Experience

Smart personal identification tags operating in a real-time patient flow monitoring network can be essential in imbuing the patient with the sense that all is well and under control. Active RFID or BLE devices can be affixed to the patient’s wrist instead of the standard ID bracelet. These transmit the patient’s identification and in many cases the patient’s GPS location to the local network. Network monitors can notify affected personnel when a patient moves, or the system can be programmed to do that automatically. Patient records can be called up on monitors and devices in a patient’s new location, and removed from monitors and devices in the patient’s old one. In many situations medical and service personnel can wear similar devices that allows the system to locate them and route them to an assignment. Service personnel can be notified when a room is vacant and available for cleaning, so the next patient does not have to wait. Medical personnel can be separately dispatched so that they are on-site when the patient arrives at their location, or sent to intervene if a patient waits too long in transit, or becomes part of a bottleneck. The system might also incorporate asset tracking, tagging mobility appliances and monitoring equipment and managing them so that they are in the right location and ready for use when needed. Supported by a comprehensive monitoring/management plan, the system can present each patient with a seamless and smoothly operating environment where their expectations are set and then clearly met.

These networks can produce a great deal of data, which can be collected and utilized for Internet of Things (IoT) type applications that make predictions, provide post-analysis of events and suggest modifications for better efficiency. They can also be modified to interface with an event broker/monitor, which can trigger alerts in the event of a patient emergency or notify appropriate support personnel if a critical piece of equipment is failing. They can be further modified to support mass-casualty situations, where patients at the scene of the incident are tagged on-site by EMS personnel prior to transport. The hospital potentially could have an accurate picture of how many patients are in route, their injury status, and possibly their health history, a huge advantage in trauma care.

The propagation of IoT applications into healthcare has lagged other industry sectors, because while healthcare facilities prioritize patent care over all else, they must in most cases operate as businesses, and must provide a viable business case for large IT expenditures. With continued research into the patent experience, the obvious advantages of an IoT-based approach to healthcare should become clear.

As part of The StartUp Magazine’s  ongoing Female Founders  series, The Startup Magazine asked RUMBLE CEO and Founder Terri Foudray, for her views on the continued digitization of our physical world. Terri holds the premise that technology is a great disrupter – and no area more so than the launch of the Internet of Things. However, digitizing objects to create “smart products” for our daily work and home lives has created some last-mile challenges that have threatened to derail the promise of IoT.

Ms. Foudray is a dynamic thought leader in the IoT space, founding her IoT company, RUMBLE to integrate Edge computer solutions and help solve the IoT performance shortfall. Terri is a strong STEM advocate and an active member of the advisory board for CompTIA’s Advisory Council.

In the article below, Terri offers her views on the need for effective management and harnessing of the reams of data produced by smart objects in the emerging smart world.

The promise of the Internet of Things, or “IoT” was one of connection. Specifically, IoT was projected to connect more than 50 billion objects generating about 80 zettabytes of data. The reality, however, is far different. While connection has happened, we are still far from that mind-boggling 80 zettabyte projection. Does that mean the IoT is not real or useful?

Not at all.

Read the article titled IOT, Bridging the Performance Process Gap for more on CEO Terri Foudray’s viewpoint.

Internet of Things (IoT) technology is poised for a breakout year in 2020 as companies in the early majority market segment begin to invest in IoT-related projects. A major hurdle for these efforts is the chronic shortage of technologists who understand the specialized non-IP networks often used for data collection from sensors on the edge. In addition, few security experts are familiar with techniques used to secure networks when hundreds or even thousands of edge devices are connected through non-IP networks, each providing a unique attack surface. RUMBLE IoT CEO Terri Foudray offers 2020 IoT predictions for these issues and some potential solutions for integration of non-IP networks in this article.