Disrupting government: RegTech on the blockchain
Daniel Araya
Distributed ledger technologies (DLT) like blockchain could lead to an “Internet of value” in which anything of importance can be virtually managed.
Distributed ledger technologies (DLT) like blockchain could lead to an “Internet of value” in which anything of importance can be virtually managed.
Machine learning is not programmed, it is taught with data. The value you get from machine learning is a function of the quality of the data you feed it.
Through social physics, we can understand and predict preferences, attitudes and behavioral patterns of individuals and groups in a much more accurate way.
The main goals of a pilot are to create a proof point for the business case and to learn how complex the actual project will be.
CISO teams keep their company’s data safe, useful and accessible. They also protect customer data from any threat, at any time.
If we were to hand over the metadata to our devices and those of about 3 million of our neighbours, what could we learn about ourselves?
Anthropomorphism is an important part of a design, but a design that is too life-like transforms a machine from adorable to menacing.
Smart city developers need to be thinking about how to activate technologies in a way that can contribute to inclusivity.
Among the problems with facial recognition software is that it’s an imperfect science that often tends to have glaring race-based problems.
The third key to successful IoT implementation is to define the best technical architecture to implement the use case stories.
Personal stats can be useful, insightful, even eye-opening. They present an opportunity and encourage the modification of behaviors.
In the first of our two-part series, we’re asking: a decade into the digital development boom, are we in danger of being duped by smart city hype?
