We should collectively migrate to a model in which personal data is managed in a network based model in which all parties (individuals, organisations, things) are seen as nodes on the network. Data flows to and from network nodes via managed permissions. This approach can scale to the vast and ever-growing needs of modern data exchange for AI and other purposes.
We have just finished a fantastic Mydata 2023 conference, all in all a great event.
Data spaces are an emerging hot topic, this post illustrates the good fit between the design and running of data spaces, and the JLINC protocol.
In this post we drill into the business and commercial use cases and implications of JLINC and the recent patent.
This paper sets out a vision for what could become a sustainable set of processes around the sourcing, management, and use of personal data. Our context for doing so is that the current model for personal data management on The Internet is badly broken and has architectural limitations that are largely un-resolvable...
Six months in, and it is difficult to separate GDPR theory from GDPR reality. So I decided to find out for myself. As a self-confessed data geek, I have long had an interest in the concept of ‘data portability’.
In the near future, we will see the biggest change to marketing in the past century — the data source used to drive direct marketing will be the individual (buyer) and data-sets under their control.
Firstly, data volumes and complexity have clearly gone through the roof over the period, and that shows no sign of slowing.
I’m spending a lot of time right now down in the weeds of a large GDPR project; it’s hard going.
