Unless you’ve been living under a disconnected rock, you’ll know that the Internet of Things (IoT) has developed to become a new substrate layer of web-driven intelligence that is helping to connect our world. Fueled by data from sensors, cameras and all manner of gyroscopes and accelerometers, IoT gives us a new power to monitor, track, analyze and act upon the data being created in the world around us.
But you already knew that part. As we head into 2019, the issue at hand for us now is what happens next in the Internet of Things. We need to focus on how we build the infrastructure that serves the IoT and how we create the higher-level technology fabric that feeds off it.
A crucial factor for organizations looking to channel IoT is the need to create new business models. New operational frameworks must be customized to the needs and requirements of the machines and people populating the IoT ecosystem.
We have reached a few watershed moments with IoT already. We know that the initial years saw too many products developed with inadequate—or non-existent―security provisioning. The security debate will always be there, but services have now come to the fore in terms of how we lock down data in the IoT.
People—users and sometimes also wearers of technology―will now be central to the debate going forward. The fact that people will be carrying wearables so much more means we will know a lot more about the status of every individual in every situation.
A more ‘consumable’ future
Let’s think of possible future scenarios. For example, there may never be a standard health insurance policy needed anymore, because insurers will know more about people from the get-go. Users will really just pay for what they consume, leading us to a more ‘consumable’ future.
But none of these advancements are possible unless we have access to a system of action that allows us to leverage the information coming out of the IoT in the first place. To put it another way, all the IoT ‘things’ are useless unless you can drive action from the information and alerts that they generate.
As we look to use this new system of action, we can point it towards the specific components of IoT that we are actually interested in. If you think about all the devices and data out there as the IoT universe, then there’s a tighter orbit around your own organization’s personal IoT universe. These are the ‘things’ and the data that matter to you. Once you focus in on these elements, you can map your desired business outcomes against the IoT through an intelligently architected approach.
Defining desired outcomes
The term ‘desired outcomes’ might sound a little strange, but it’s easy to put them into context.
From a health-tracking wearables standpoint, a user would typically have a variety of desired outcomes including, for example, a target heart rate, blood pressure, weight and so on. Any diversion from desired outcomes might cause the user to change their exercise regime, alter their diet and perhaps ultimately visit the doctor.
Cars are another good example—desired outcomes for car use would include fuel consumption per gallon, performance and the need for week-to-week maintenance.
We can go further with automobiles because they have become smart enough to track whether we are a safe driver based upon our behavior on the road. In the EU for example, if a driver shares their streamed dash cam data with an insurance company which recognizes that driver’s safety, then the driver may be rewarded with a lower insurance premium.
From outcomes to systems of action
In this last example, the scope of our desired outcomes has widened, but we will fail to benefit from them unless a system of action is put into place, in this case to provide the service of a lower premium. Without the system of action, the driver drives safely, the dash cam records it and sends the data onward, the insurance company gets to identify safe drivers and perhaps also accident blackspots, but the safe driver gets no reward.
I think this ‘ability to act now’ element of how we interact with IoT data was brilliantly expressed by Chris Mazzei, in his role as EY Global Innovation Technologies Leader & Global Chief Analytics Officer. He said “There is an acceptance that AI will change everything in 10 years’ time, but little appreciation of how it could, and should, impact businesses right now.”
Business model shake-up
So, as we move forward into 2019, and more and more devices become connected, we are seeing the same challenges that have been experienced across enterprise IT now appearing in the world of IoT, especially Industrial IoT.
This reality is especially prevalent if we look at how we want to manage the functionality of IoT devices. We need to be able to understand how devices are performing relative to each other while also providing the requisite level of security for each device. This isn’t about just managing the break-fix elements of the IoT―it is about analyzing the data to optimize business processes and drive new business models.
There are huge data lakes created by IoT and we know that. As businesses become truly digital, they will discover that they know more clearly what they want to get from the universe of data that is being created, enabling them to more intelligently ask the right questions in the first place.
They will know what the desired outcomes are and thus what questions to ask to drive their system of action into decision-making, paving the way for a truly ‘consumable’ IoT from end to end.