Were prognosticators right when they told us computers and the Internet would make our lives easier? Are you sometimes overwhelmed by the amount of information you receive each day? Do you think it will get simpler, as upwards of 50 billion devices connect to the Internet in the next few years?
It’s not difficult to find images of futuristic IoT devices, nor is it unusual to encounter essays about how IoT will change our lives.
The more challenging part is figuring out just HOW we will manage all of this information. I already have click-around syndrome from alternating between my three different emails, my Facebook, my Twitter,…LinkedIn, Amazon, and more. How will I manage all of this information once I begin getting updates from my thermostat, my heart rate device, my toaster, my security system and on and on?
It’s fairly clear that intelligence embedded technology already has the capability to connect the aforementioned devices. From Dr. W. Charlton Adams Jr. and Dr. W. Charlton Adams Jr. at Wired magazine, we learn that the infrastructure is already in place, and that IoT will enable these advanced technologies to manage the information,
“The enabling technologies of the IoT, in fact, have existed for some time, but there have been key challenges to be overcome in order to allow for the level of interconnection, integration and data sharing that is envisioned today. The advent of Internet Protocol Version 6 (IPv6), for example, has created the robust addressing scheme sufficient to accommodate the billions of devices that are to be linked in the IoT. ”
Linking these billions of devices, however, will create new management challenges that we have yet to encounter. In his article “IoT’s Big Challenge: Managing Billions of Devices,” James Kobielus (InforWorld) details a bevy of issues to consider. Among them, Kobielus highlights:
- Facilitate embedding of algorithmic capabilities so devices can react to their environments;
- Enabling developers to rapidly access, configure and tweak algorithmic functions;
- Executing algorithms on various sized devices at the edge or at the gateways of containers;
- Cleansing incoming sensor data and forwarding it to a federated IoT gateway for cross-endpoint normalization, aggregation, inference, and analysis;
- Analyzing data as it streams to a device and moving it rapidly to federated cloud-based platforms;
…..and much more.
Taking it a step further, the article, “Architecting for Dynamic Analytics in IoT,” Denis Canty (DZone) discusses challenges that lie ahead, including how to store and process all of the data:
“The first step for any data scientist after getting a data set is to cleanse it. This by its very existence should suggest that we don’t need all the data to make the decision required for business impact, as there is still a lot of junk data being generated by these IoT Devices.”
As computer engineers solve these problems, how will consumers and business leaders manage all of this information?
The answer lies in messaging.
People will have to get more organized in terms of managing information. Rather than toggling from one application to another for each specific need, consumers and business leaders will benefit from consolidating all of their IoT-related data through a single hub. This solitary hub will enable users to easily organize their information and access what they need when they need it. Having all critical information sent to single inbox will allow for seamless M2H and H2M communications.
So while the computer engineers develop the technology and business leaders devise methods to capitalize on the roll-out, the integration of these billions of IoT devices awaits new and better practices for organizing, accessing and utilizing the abundance of information that will emerge from the process. Business leaders and consumers will quickly find that effective and efficient messaging will help them organize and manage the massive amount of data they will receive as more and more devices become connected to the Internet.
About the Author
Richard Meyers is a former high school teacher in the SF Bay Area who has studied business and technology at Stanford and UC-Berkeley. He has a single-digit handicap in golf and is passionate about cooking, wine and rock-n-roll.