The Four Biggest Challenges to Enterprise IoT Implementation

After endless cycles of hype and hyperbole, it seems most business executives are still excited about the potential of the Internet of Things (IoT). In fact, a recent survey of 200 IT and business leaders conducted by TEKSystems ® and released in January 2016 (http://www.teksystems.com/resources/pressroom/2016/state-of-the-internet-of-things?&year=2016) determined that 22% of the organizations surveyed have already realized significant benefits from their early IoT initiatives. Additionally, a full 55% expect a high level of impact from IoT initiatives over the next 5 years. Conversely, only 2% predicted no impact at all.

Respondents also cited the key areas in which they expect to see some of the transformational benefits of their IoT efforts, including creating a better user and customer experience (64%), sparking innovation (56%), creating new and more efficient work practices and business processes, (52%) and creating revenue streams through new products and services (50%).

The IoT is Expected to Impact Organizations in Numerous Ways

So, with the early returns indicating there are in fact real, measurable benefits to be won in the IoT, and the majority of executives expect these benefits to be substantial, why are some organizations still reluctant to move forward with their own IoT initiatives?

As could be expected, security is the biggest concern, cited by approximately half of respondents.

Increased exposure of data/information security – 50%

With the World Wide Web as an example, people today are well aware of the dangers inherent in transmitting data between nodes on a network. With many of these organizations working with key proprietary operational data that could prove advantageous to a competitor if exposed, the concern is very understandable.

ROI/making the business case – 43%

This is a classic example of not knowing what you don’t know. Without an established example of how similar initiatives have impacted your organization in the past – or even how similarly sized and structured organizations have been impacted – it can be very difficult to demonstrate in a tangible way exactly how these efforts will impact the bottom line. Without being able to make the business case, it will be difficult for executives to sign off any new initiatives. This is likely why larger organizations ($5+ billion in annual revenue) are much more likely to have already implemented IoT initiatives, while smaller organizations are still in the planning phase.

Interoperability with current infrastructure/systems – 37%

Nobody likes to start over, and many of the executives surveyed are dealing with organizations who have made enormous investments in the technology they are currently using. The notion of a “rip and replace” type of implementation is not very appealing. The cost is not only related to the downtime incurred in these cases, but the wasted cost associated with the expensive equipment and software systems that are being cast aside. In most cases, to gain any traction at all a proposed IoT initiative will have to work with the systems that are already in place – not replace them.

Finding the right staff/skill sets for IoT strategy and implementation – 33%

With the IoT still being a fairly young concept, many organizations are concerned that they lack the technical expertise needed to properly plan and implement an IoT initiative. There are many discussions taking place about how much can be handled by internal staff and how much may need to be out-sourced. Without confidence in their internal capabilities, it is also difficult to know whether or not they even have a valid strategy or understanding of the possibilities. Again, this is a case where larger organizations with larger pools of talent have an advantage.

The full results break down like this:

Many Organizations are Hesitant to Invest Much in IoT Initiatives at this Stage

There are some valid concerns, and not all of them lend themselves to simple solutions. In truth, many of the solutions will vary from one organization to the next. However, in many cases the solutions could be as simple as just choosing the right software platform. Finding a platform that eases your concerns about interoperability can also help ease your concerns about whether or not your staff can handle the change, as there will be no need to replace equipment. Likewise, a platform that can be integrated seamlessly into your current operations to help improve efficiency and implement optimization strategies will also make it much easier to demonstrate ROI.

B-Scada has released a new whitepaper on choosing the right IoT platform for your project. If you’re thinking about taking that leap into the IoT, it’s well worth the read.

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Object Virtualization: Digitizing the World

We are changing our world. With the advent of new sensing and communication technologies, we are finding ways of making everyday objects more intelligent and connected. As we connect more and more things to one another, however, we are finding a need to democratize the process. We have to make different things the same, or at least equal. We are still trying to answer the Mad Hatter's famous riddle: How is a raven like a writing desk?  

Though Alice's time in Wonderland may have come and gone, ours is just beginning. While we may not be connecting ravens to writing desks (though nothing would surprise me at this point), we do have a need to connect seemingly unrelated objects in new ways.

One solution to this dilemma is the process of object virtualization. By creating virtual models, or representations, of the things you want to monitor and manage, you are putting 'things' on equal footing, creating new opportunities for analysis and task automation. 

To understand object virtualization, consider the contact list in your phone. A contact can be thought of as a virtual model of an actual person. It is something like a digital identity. Imagine you have a contact named Mary Smith. Mary has a name, a phone number (or two), an email address, maybe a photo. Mary can have a Facebook profile, a Twitter alias - you can even assign Mary a special ringtone. All of these things combine to create a virtual model of Mary stored in your phone.  

Now, to make your model of Mary a bit more intelligent and useful, you could add her date of birth, her hair color, her favorite book, her pet cat's name, or any number of different properties of Mary. If we slapped a bunch of sensors on Mary, we may know things like her current location, current body temperature, her heart rate, her blood pressure. If this information is communicated to your model in real time, you have an active, living representation of Mary that tells you more about her than she may know herself.

Imagine applying this same process to your house, your car, your toaster, or your favorite pair of socks. Now, maybe you can't think of a good reason for your socks to talk to your toaster, but they may have a thing or two to share with your washing machine. And maybe your house and your toaster can have a nice conversation about lowering your electric bill. Of course, your things aren't just talking to your other things. They can talk to other things anywhere. Do you think it might be helpful for your air conditioning system to know something about today's weather forecast? Or for your car to know about that new road construction on your way to work?

Your virtualized house doesn't care that it's a house. It may as well be an elephant or a water balloon. The same is true of your car, your refrigerator, or your lawn sprinklers. Virtual models can share information with other virtual models without regard for where the data is coming from or how it got there. Virtualization can make every "thing" accessible to every other "thing", and ultimately to you.


**B-Scada's VoT (Virtualization of Things) Platform allows you to create virtual models using data from multiple  and disparate sources, providing a simple platform for creating powerful and intelligent IoT (Internet of Things) applications. Learn more at http://votplatform.com.

The Industrial Internet of Things (IIoT): Are We There Yet?

The cat is no longer in the bag. In fact, she's already rummaging through businesses and homes in your hometown - maybe in your neighborhood. Before our eyes, the Internet of Things (IoT) has evolved from a nice idea to a measured experiment with tangible results. As expected, early adopters are primarily large enterprises with significant resources to dedicate to new technology, but the IoT does not always require a substantial investment. Sometimes, it is as simple as finding a better way to use your current technology and associated data. Some industrial enterprises have already seen the benefits of machine intelligence and the marriage of people and processes. Other organizations are using the IoT to provide better customer service and more targeted marketing.  Is it safe to say the experiment is over? Have we burst through the hype bubble to arrive at a practical understanding of what's at stake?

The Industrial IoT promises more efficient production processes, reduced resource consumption and waste, safer workplaces, and more empowered employees. There are many success stories already, and more are sure to come.  Honda Manufacturing of Alabama Honda's largest light truck production facility in the world - a 3.7 million square foot plant - was faced with a problem all too common to large manufacturing facilities. Over the years, a number of different automation systems were introduced to help streamline production. With operations including blanking, stamping, welding, painting, injection molding, and many other processes involved in producing up to 360,000 vehicles and engines per year, it is not surprising that they found themselves struggling to integrate PLCs from multiple manufacturers, multiple MES systems, analytic systems, and database software from different vendors. Of course, on top of these legacy systems, Honda continued to layer an array of smart devices on the plant floor and embed IT devices in plant equipment. The complexity introduced by this array of automation systems turned out to be slowing down the operations they were intended to streamline. After reorganizing their business structure to merge IT and plant floor operations into a single department, Honda proceeded to deploy a new automation software platform that enabled them to bring together PLC data with the data coming from MES and ERP systems into a common interface that allowed the entire enterprise to be managed through a single system. This also allowed Honda to manage and analyze much larger data sets that revealed new opportunities for further optimization. While this reorganization required a significant investment of resources, they were able realize benefits immediately, and ultimately positioned themselves to maintain a competitive edge through the next decade or more. ABB As one the world's foremost suppliers of industrial robots and modular manufacturing systems, ABB has had their finger on the pulse of industrial technology for years. As the IIoT emerged, ABB was quick to find ways to take advantage of the opportunities presented. The company has installed more than 250,000 robots in numerous industries worldwide: plastics, electronics, pharmaceuticals, food and beverage, and many more.  Before the IIoT, in order to provide service ABB needed to dispatch technicians to remote sites to perform diagnosis. Today, a small operations team in a centralized Control Center are able to monitor in real-time precise and reliable information about each robot's current status and activity. This has not only enabled ABB to substantially reduce the cost of their maintenance and operations, but the data collected has allowed them to develop a set of predictive KPIs to anticipate problems before they occur, helping their customers benefit from less downtime and increased productivity. Kennametal Kennametal was able to increase the productivity of their discrete manufacturing operations by using machine tool data and complex event processing. Whereas the traditional approach to increasing productivity was to reduce downtime, Kennametal focused on improving productivity by reducing cycle time. The solution employs complex event processing software that gathers and analyzes production data in real-time. Kennametal was able to understand which operators out-perform the production plan and guide less-experienced operators toward improvement. As an example: in one machining operation it was determined that taking a fast, shallow cut reduced cycle time by 16% over the slower, deeper cut the production plan called for. Best practices of this sort have been shown to reduce Kennametal's cycle time by 20-40%.  The examples provided by Honda, ABB, and Kennametal are just a few of the hundreds of different IIoT success stories that can be found on the internet. Companies like GE, Ford, Intel, and dozens more are pouring literally billions of dollars into IIoT technologies this year alone. This is not an investment in possibility and hope. The IIoT is very real and it is happening right now. Of course, as with anything new there will be plenty of hurdles and blind alleyways, but many of the initial obstacles have been discovered and overcome. The foundation is in place and the arrow is pointing up. Companies are no longer asking: Should we? They are asking: How can we and how quickly?

**B-Scada has provided best-of-breed data visualization solutions since 2003, providing industrial and commercial customers the tools they need to transform their processes and empower their personnel to maximize efficiency, productivity, and safety. Learn more at http://scada.com.

The Many Faces of Data Visualization

Data Visualization has become one of the common "buzz" phrases swirling around the internet these days. With all of the promises of Big Data and the IoT (Internet of Things), more organizations are making an effort to get more value from the voluminous data they generate. This frequently involves complex analysis - both real time and historical - combined with automation. 

A key factor in translating this data into actionable information, and thusly into informed action, is the means by which this data is visualized. Will it be seen in real time? And by whom? Will it be displayed in colorful bubble charts and trend graphs? Or will it be embedded in high-detail 3D graphics? What is the goal of the visualization? Is it to share information? Enable collaboration? Empower decision-making? Data visualization might be a popular concept, but we don't all have the same idea about what it means.

For many organizations, effective data visualization is an important part of doing business. It can even be a matter of life and death (think healthcare and military applications). Data visualization (or information visualization) is an integral part of some scientific research. From particle physics to sociology, creating concise but powerful visualizations of research data can help researchers quickly identify patterns or anomalies, and can maybe sometimes inspire that warm and fuzzy feeling we get when we feel like we've finally wrapped our head around something. Today's Visual Culture  We live in a world today that seems to be generating new information at a pace that can be overwhelming. With television, the Web, roadside billboards, and more all vying for our increasingly-fragmented attention, the media and corporate America are forced to find new ways of getting their messages through the noise and into our perception. More often than not - when possible - the medium chosen to share the message is visual. Whether it's through an image, a video, a fancy infographic or a simple icon, we have all become very adept at processing information visually.  It's a busy world with many things about which we feel a need to be informed. While we all receive information in numerous ways throughout the course of any given day, only certain portions of that information will have any real effect on the way we think and act as we go about our normal lives. The power of effective data visualization is that it can distill those actionable details from large sets of data simply by putting it in the proper context. Well-planned data visualization executed in a visually-appealing way can lead to faster, more confident decisions. It can shed light on past failures and reveal new opportunities. It can provide a tool for collaboration, planning, and training. It is becoming a necessity for many organizations who hope to compete in the marketplace, and those who do it well will distinguish themselves.

**B-Scada has provided best-of-breed data visualization solutions since 2003, providing industrial and commercial customers the tools they need to transform their processes and empower their personnel to maximize efficiency, productivity, and safety. Learn more at http://scada.com.