Today, a world without machine learning is hard to imagine. From voice assistants to the analysis of medical data to self-driving cars, these algorithms power the latest and most advanced technologies. All this is enabled by large amounts of data, provided by individuals and businesses.
With vast amounts of data available to us today, the question of privacy and responsible handling of this data becomes increasingly critical. Not only is data privacy required by law in some cases, e.g., for medical or financial data. Additionally, the desire of customers and clients for discretion and privacy is growing and has become a topic of public focus.
What does artificial intelligence have to do with blockchains? Well it’s actually helpful to remove the buzzwords and talk about a new decentralised data value ecosystem in which data is produced, distributed and consumed. Using that framing, the Internet of Things produces data, blockchains and other authentication technologies distribute it, and then the data needs to be processed, analysed and automated. This is where so-called smart contracts, decentralised compute and decentralised machine learning can be used on data in decentralised databases, document stores and blockchains.