As today's manufacturers look out at the changing and unpredictable business landscape, they are faced with both enormous risk and unprecedented opportunity. Economic uncertainty and digital disruption from savvy, agile competitors are forcing both senior executives and divisional managers to contend with a new set of challenges. Every day, business leaders are seeking answers to tough questions about how they can reduce costs, create new value in their market, and build a sustainable roadmap for growth in a turbulent world.

As a global consumer and industrial IoT platform provider, Exosite is deeply involved in securing sensors, devices, networks, cloud platforms, web applications, and mobile applications for diverse industries. As explained in our previous installment of the Security in Internet of Things Systems white paper blog segment, data can be thought of in three contexts. The second context is data in motion, and will be the focus of this IoT security blog segment.

Just as an architect’s expertise is needed in the construction of a sturdy home, one must also consider architectural needs in a successful IoT strategy. As a leading consumer and industrial IoT platform provider, Exosite seeks to assist companies understand the necessary pieces to consider when developing a connected product and system.

The Internet of Things is quickly transforming how companies do business.  With readily available data, companies are seizing new opportunities, developing state-of-the-art connected products, and creating new revenue streams. Easy access to data is the pinnacle of a successful IoT solution. It can also be the weakest link.  Every successful IoT strategy needs to consider the security of the data being handled. As our Security in Internet of Things Systems white paper illustrates, this can be thought of in three contexts. The first context and the focus of this IoT security blog segment is data at rest.

Developing a successful IoT strategy entails a large number of pieces. Just as a puzzle is not complete until each of it’s unique pieces are in their proper places, an IoT solution is not finished until each element has been properly developed. As a leading consumer and industrial IoT platform provider, Exosite is continuously striving to assist companies connect the necessary pieces to create their perfect IoT picture. In this segment of our Solving the IoT Puzzle: Build or Buy? white paper dissection, we will be covering the necessary pieces of a successful IoT solution.

The Internet of Things is quickly working its way into a diverse range of companies that are seeking to improve efficiency, add value, and overcome obstacles. Creating and implementing a successful IoT product deployment can be complicated, especially due to the multitude of shifting parts necessary. Because of this, a growing number of companies are turning to Exosite to kickstart their IoT generation of business. After searching for a reliable and knowledgeable industrial IoT platform provider, Parker Hannifin, the world’s leading diversified manufacturer of motion and control technologies and systems, did just this.

Last week we released our newest white paper, Solving the IoT Problem: Build or Buy? As a leading consumer and industrial IoT platform provider, Exosite strives to bring new insight to the IoT market in the hopes of assisting the public. In this new blog series, we will be dissecting sections of this white paper to gain a better understanding of what building or buying an IoT platform entails.

Developing an IoT ecosystem can be very complex and, as a leading industrial IoT platform provider, Exosite is here to help develop your business's connected solution.

New offerings accelerate commercial and industrial IoT adoption and ease customer ability to integrate with Exosite IoT cloud

Whether in large scale industrial IoT applications or connected consumer good applications, efficiency driven by data is a key selling point. In order for an IoT analytics strategy to be complete, a company must understand the use cases and importance of prescriptive analytics. The final stage of IoT data analytics maturity involves deriving actionable items from predictions made in previous stages. When thousands of IoT connected devices are online and their data is being routed through various machine-learning algorithms, they can provide users and administrators with incredibly valuable insights into what the fleet is doing and what action should be taken to modify its future behavior. The previous descriptive, diagnostic, and predictive IoT analytics blog segments took the process one step closer to no-touch decision making; prescriptive analytics takes it the rest of the way.

Conversations about IoT are typically awkward or inconclusive.

The IoT marketplace is quickly becoming filled with more and more companies rushing in with hopes to hit the market with their solutions first. Because of this tech-race, we are seeing a growing number of IoT security disaster stories. Whether a company is seeking a consumer or an industrial IoT platform provider, security must be a priority.

Meant to change the world we live in, the Internet of Things can be an ambiguous term that means a variety of things to different people. It’s in a constant state of flux, with new evolutions and possibilities emerging every second. For the last seven years, Exosite has been assisting some of the world’s largest organizations create their IoT strategies and now that knowledge is at your fingertips.  Whether you’re at the beginning of your IoT business transformation or stuck somewhere along the middle, we’re here to answer your questions.  To that end, we’ve created Inside Exosite, a video and blog series that answers the questions companies face every day as they navigate the revolutionary world of IoT.

Following our previous IoT analytics blog segment, this series continues to break down key predictive analytic features and this week focuses on data classification. Classification is one of the most applicable concepts to IoT solution providers when trying to predict device failure. Classification entails grouping device behavior by outcome into buckets, the number of which varies based on the specific application. To continue the elevator example referenced in previous analytic blog segments, cluster analysis suggested that elevators maintenanced within a certain time frame will have more downtime than is preferred. However, when one elevator is being repaired or replaced, one or more of the other elevators will have increased runtime, sometimes beyond the preferred thresholds. This would be cause for concern if an elevator was serviced more than twelve months ago, but otherwise is not a problem. A classification algorithm is capable of taking all of these variables (and many, many more) into consideration and can notify the appropriate party in the event that a combination of variables is met that indicate significant downtime could be imminent. By dividing these outcomes into different behavioral buckets, unexpected downtime and loss of time, money, and customer satisfaction can be avoided.

Exosite is headed to Sensors Expo for its fifth consecutive year, with some of our most innovative projects to date, including Murano, our newly released IoT software platform.  We will be demonstrating other connected products, co-sponsoring the SensorsFest with NimbeLink, and our CTO, Mark Benson, will be speaking during several sessions.