Considering that: Global technology spending on IoT is expected to reach $1.2T in 2022; A study from Ericsson projects that cellular IoT connections are expected to reach 3.5B in 2023
This is going to be a flood of data. Businesses who can build services or products around this data will have one leg up on the future.
It really means we need to pay attention to some of these seemingly disparate signals. Yes, IoT is going to be huge, yes it’s going to be problematic for security—your fridge getting ransomware and threatening to spoil all of your food kind of scary. The main thing we are looking at here is not the application of devices, instead, we are looking at that dataset.
Data-driven Customer Journey
What did we see?
The holy grail of user experience and human-centered design is an interconnected world where my real-time experience is directly influenced by my previous actions. Home automation following our ebb and flow, recommendation systems prompting us, reminders making sure we pick something up on the way home, our healthcare information deeply connected to our buying habits. This demo, which was more of a user narrative—was highlighting possibilities for bridging the gap between our data, and our real-life experiences.
What does this mean?
Fluidity is what this brings us; to some, this might sound exciting, and others terrifying. Security experts are likely very worried about this.
What did we take from it? It spurred some ideas about user data, and perhaps the need for a new methodology centered around what you could call User Centered Data and Data-Driven Design. We talk often about user-centered design, but thinking through a fluid user experience that uses personal data so openly, glosses over all the changes happening in policy and security.
For the last decade, it has been an, if it’s free then you are the product mentality—but more and more, the conversation has been shifting to a user having better control over their own data and how it’s used. At present this is taken care of by an unwieldy Terms of Service agreement.
What if users owned their own data, and choose who to share it with via a marketplace? What if they understood the market of data in a way that they themselves could earn some capital through the sharing of their data—data is not free, you are often giving it up in exchange making money off of it without your consent.
Keep this drone in a cage
What did we see?
If you didn’t already know, pipelines are significantly more cost-effective than trucks when it comes to getting liquid or gas from A to B. The downside being catastrophic failures that damage the surrounding environment. This makes inspection absolutely critical for fault prevention.
Drones already provide an important remote perspective for inspecting pipelines, Flyability took this a step further and has been developing a drone to cover the interior spaces of facilities. They have a developed a crash-proof drone.