Here at The Waving Cat, we’re in the business of analyzing the impact of emerging technologies and finding ways to harness their opportunities. This is why our services include both research & foresight and strategy: First we need to develop a deep understanding, then we can apply it. Analyze first, act second.
Over the last few years, my work has mostly homed in on the Internet of Things (#IoT). This is no coincidence: IoT is where a lot of emerging technologies converge. Hence, IoT has been a massive driver of digital transformation.
However, increasingly the lines between IoT and other emerging technologies are becoming ever-more blurry. Concretely, data-driven and algorithmic decision-making is taking on a life on its own, both within the confines of IoT and outside of them. Under the labels of machine learning (#ML), artificial intelligence (#AI), or the (now strangely old school moniker) big data we’ve seen tremendous development over the last few years.
The physical world is already suffused with data, sensors, and connected devices/systems, and we’re only at the beginning of this development. Years ago I curated a track at NEXT Conference called the Data Layer, on the premise that the physical world will be covered in a data layer. Now, 5 years or so later, this reality has absolutely come to pass.
IoT with its connected devices, smart cities, connected homes, and connected mobility is part of that global infrastructure. No matter if the data crunching happens in the cloud or at the edge (i.e. close to where the data is captured/used), more and more has to happen implicitly and autonomously. Machine learning and AI play an essential role in this.
Most organizations will need to develop an approach to harnessing artificial intelligence, and so increasingly artificial intelligence is becoming a driver of digital transformation.
As of today, Internet of Things, artificial intelligence & machine learning, and digital transformation are intimately connected. You can’t really get far in one without understanding the others.
These are exciting, interesting times, and they offer lots of opportunities. We’re here to help you figure out how to harness them.
