Artificial intelligence research lab Fetch.ai has partnered with blockchain network Iota to enable a "controlled data sharing environment" for connected devices, setting the stage for a broad leap in Internet of Things (IoT) capabilities. The partnership, which was announced Wednesday, will allow sectors such as mobility, supply chain logistics, finance, healthcare, energy and others to utilize automated data sharing across IoT networks. Iota's native Tangle technology will help facilitate secure payments and communications between devices. "While there are numerous partnerships focusing on data privacy, this one adds the layer of economic benefit for stakeholders via autonomous economic agents without compromising data privacy," said Fetch.ai CEO Humayun Sheikh, adding: Fetch.ai The research lab told Cointelegraph that the Iota partnership will open up many tangible use cases for artificial intelligence and data sharing, such as "collaborative public administration," where autonomous economic agents simplify the public administration process.

We are excited to announce a partnership between Waves and Fetch.ai, an open-access machine learning network that powers AI infrastructure on top of a decentralized digital economy. The Fetch.ai team is becoming a significant collaborator of Waves with an aim to conduct joint R&D for the purpose of bringing increased multi-chain capabilities to Fetch.ai's system of autonomous economic agents (AEA). To guarantee the secure sharing of data and transactions, the machine learning platform of Fetch.ai One of the key tools is a set of autonomous software agents that provide AI services, connecting suppliers and consumers of raw and processed data. Recently, Fetch.ai has been concentrating on providing solutions for the decentralized finance field, including the provision of data feeds for various market pairs, commodities, indices, futures etc, as an effort to offer value to decentralized exchanges that can allow for increased liquidity in the trading of various assets.

Big, big data is needed to power worthy AI predictive models, but that is still a work in progress, says a former lead investor in Google DeepMind. Humayun Sheikh does not dispute the fact that Google DeepMind is a leading light in artificial intelligence research and its application for positive impact. As a former lead investor in the company, who exited when Google snapped it up in 2014 for a reported $500-million, that would be a bit ungrateful. After all, Sheikh had the opportunity of working alongside Demis Hassabis, the British artificial intelligence researcher, neuroscientist, video game designer, top gamer and entrepreneur, who co-founded what is today recognised as a world's most innovative AI company. What he does dispute, however, is whether new technologies like AI, machine learning and blockchain are truly able to deliver commercial value to small and large companies alike.

Big, big data is needed to power worthy AI predictive models, but that is still a work in progress, says a former lead investor in Google DeepMind. Humayun Sheikh does not dispute the fact that Google DeepMind is a leading light in artificial intelligence research and its application for positive impact. As a former lead investor in the company, who exited when Google snapped it up in 2014 for a reported $500-million, that would be a bit ungrateful. After all, Sheikh had the opportunity of working alongside Demis Hassabis, the British artificial intelligence researcher, neuroscientist, video game designer, top gamer and entrepreneur, who co-founded what is today recognised as a world's most innovative AI company. What he does dispute, however, is whether new technologies like AI, machine learning and blockchain are truly able to deliver commercial value to small and large companies alike.