Unlocking Value in the Open Mobility Ecosystem
Today, we want to introduce the idea of decentralised data marketplaces and why we believe they are foundational to unlocking new economic value.
DLTs, IoT and AI are converging to reshape transport
The transportation and logistics industries are having an existential crisis. Electric vehicles and lithium battery costs are falling quickly; autonomy software is improving at a rapid pace and ride-sharing platforms are leading customers to question the need to own cars.
Introducing the 3 Ds of Token Ecosystem Creation
Every new technology brings with it new and disruptive business models. And for blockchain technology, these are tokenised ecosystems. Blockchains represent a shift in how value will be created and distributed. For this shift to occur the underlying fundamentals of new emerging business models need to be explored.
10 Key trends from the blockchain ecosystem you might have missed…
Stability is perhaps the one word that defines the last few months. Between regulators seeking to create less hostile environments for startups, a barrage of stability-oriented tokens and enterprises seeking to use blockchains to improve operations, it has become evident that the ecosystem is growing beyond the wild swings of the past year.
The Token Ecosystem Creation report
Today we launch our new report on the concept and practice of developing effective tokenized crypto-assets. This is driven by our strong belief in the potential power of decentralised systems to provide a new and important evolution in how our economy and society can be organised, but in order to achieve this, effective ecosystems must be created that align the incentives of all the participants in a new model economy.
What we do at Outlier labs
If you think investing in crypto is hard – investing in our Convergence Thesis, how DLT combines and converges with IoT, Big Data and AI is even harder. The technical complexity of keeping pace with multiple deep technologies and their interactions is hugely demanding and requires a dedicated team of technical analysts who can only really learn by doing. This means they must be active developers, administrators and participants of networks.
