Wearables are becoming a hot topic in the consumer industry. Unlike the industrial IoT industry, these devices are hitting consumers at the ground level, enabling wearers to track their daily routines in both professional and personal applications. In a recent article for CIO magazine, Mark Benson, CTO of Exosite, is quoted in several cases as an IoT industry leader on the topic of growth in the connected wearables market.

The Internet of Things industry has grown exponentially in the last few years. Starting as a spark, it has spread across industries as a single flame can quickly grow and consume a dry prairie. With any new industry a list of keywords, some weighing more than others, begins to grow. In IoT such words as monetization, analytics, efficiency, and security, garner a staggering amount of heft, but what of talent? In a recent article from The Economist, Exosite's CTO Mark Benson is used in reference to defining just how important finding the right talent will be as more companies take on IoT.

When choosing the right embedded protocol for an IoT solution, it is important to weigh all of the options, even those less apparent. In past blog segments of our Embedded IoT Protocols white paper, we have detailed the benefits and drawbacks of several popular embedded protocols commonly used in IoT solutions. In this week's IoT protocols post, we will be covering WebSocket, an unsuspected addition to the list.

Enabling predictive IoT analytics is a turning point for an organization. It marks the point when the hard work of understanding what happened–and why it happened–can finally be put to use. An organization that implements a strong IoT business strategy that includes analytics is structured to reap the benefits of their connected devices. Building from our previous IoT analytics blog segment, this series continues to break down key predictive analytic features and this week focuses on cluster analysis. 

Selecting the right embedded protocol is an essential part of an organization's strategy when developing an IoT connected device; each protocol has unique benefits and drawbacks. In past blog segments of our Embedded IoT Protocols white paper, we have covered several protocols including: UDP, TCP, HTTP, XMPP, and MQTT. In this week's IoT protocols post, we will be covering key features of one of the new protocols to hit the IoT scene: CoAP.

In a connected device deployment, it is important to define what happened and why it happened, in order to predict what will happen. Building from our previous IoT analytics blog segment on diagnostic analytics, this series begins to break down key features of predictive analytics.

In last week's breakdown of the Data Analytics for IoT white paper, we looked at descriptive analytics. Understanding what happened in an organization's IoT analytics is an important first step. Following what happened, an organization must understand why it happened.

As the Internet of Things expands to achieve its predicted global reach and data analytics for IoT becomes more popular, several misconceptions have become increasingly pervasive. In a recent article for Electronic Design, Exosite's CTO Mark Benson seeks to identify and debunk these common myths regarding data analytics in IoT. In "11 Myths about Data Analytics for IoT Device Fleets," Benson identifies these misconceptions as:

The first step in data analytics maturity is describing what is happening with the devices in a connected product deployment. What is the average pressure inside a device? What is the device's maximum runtime each day? What is the greatest period of time that a device is at its highest pressure?

Each IoT solution is slightly different from another and with numerous choices to be made it can be difficult knowing which options will fit your solution best. As you design your IoT strategy, choosing the correct protocols will be an intricate part of your solution's success or failure. In this week's segment of our Embedded IoT Protocols white paper, written by Patrick Barrett, we will look at a new protocol, MQTT.

As the Internet of Things (IoT) continues to grow in use across a widening range of industries, security is becoming a major concern. In a recent article for The Security Ledger, Exosite's CTO Mark Benson addresses this topic and identifies four important factors to consider and address when developing an IoT strategy. In his article "What Makes IoT Security So Hard?," Benson identifies these four factors as:

As analytics strategies increase in sophistication from descriptive through prescriptive, the human input required to turn information into action can be dramatically reduced. In turn, this helps to minimize costs, enhance efficiency, improve results, and increase positive customer experience.

Exosite is excited to announce the launch of its Business Transformation Services aimed at helping industrial companies IoT-enable new or legacy products and bring them to market. Exosite Business Transformation Services enable customers to develop complete connected solutions that will jumpstart their IoT generation of business.

A key part of developing any IOT PRODUCT STRATEGY is understanding the protocols needed for connected device deployments. In this week’s protocols blog, we will give a brief description of the “new” protocols found in the EMBEDDED IOT PROTOCOLS white paper.

Standardizing a data collection process is important in any industry. As a part of a CONNECTED PRODUCT STRATEGY, however, it becomes essential. As more companies implement IOT PRODUCT DEPLOYMENTS they are acquiring a growing amount of data. In this week’s segment of the DATA ANALYTICS FOR IOT white paper, we will look at just a few requirements for data collection as explained by Exosite’s Mark Benson and Jay Carlson.