Streamr Partner With Daisy AI to Enhance Artificial Intelligence Machine Learning

Crypto analytics firm CRYPTICS also becomes a vendor of Streamr Marketplace data

Zug, Switzerland — October 10, 2018 — Streamr, the award-winning open-source, real-time data platform, has partnered with Japan-based Daisy AI, the AI platform using blockchain for deep learning. Daisy AI announces today that it will use Streamr as its official data provider to exclusively purchase data from the Streamr Marketplace. Recognizing the benefits of a decentralized marketplace model for transparent and secure information, Daisy AI is purchasing data for a wide range of purposes including forecasting stock and cryptocurrency prices, economy insights, footfall and traffic.

A project from leading AI research institution University of Tokyo, Daisy AI aims to tackle the issue of low accuracy in the field of prediction-making through the application of blockchain technology.  Through its collaboration with Daisy, Streamr’s comprehensive data set will help Daisy grow and develop an AI network of increased precision. In addition, through the use of cryptocurrency, data between Daisy AI platform and the Streamr Marketplace can be seamlessly transferred.

Shohei Ohsawa, CEO of Daisy, said: “Our partnership with Streamr represents a major step forward for our platform in improving the accuracy of AI. By leveraging data offered by the Streamr Marketplace, Daisy AI will be able to offer our users valuable information and make AI more accurate on major metrics like price and economic data. Our collaboration with Streamr, a company whose vision aligns perfectly with our mission to build a decentralized AI platform, marks a major milestone in using decentralized technology to enhance the forecasting of important and widely-used data.”

In addition, CRYPTICS has become a vendor on the Streamr Data Marketplace, selling its data to enhance global cryptocurrency market predictions. Based on artificial intelligence, CRYPTICS’  Marketplace feed will equip novice to expert investors with relevant information for decision making around mining and trading cryptocurrencies. Real-time sentiment data via the Marketplace, in tandem with news portals, will be integrated with the AI algorithm, updated every hour, to provide a four-hour forecast of cryptocurrency pairs. The service offering will include both free and paid for options for investors.

Henri Pihkala, CEO of Streamr, said: “Our partnerships with innovative projects such as Daisy AI and CRYPTICS are a great example of how AI technologies are being enhanced through new open data Marketplaces.  We laid out a vision well-over a year ago describing how we thought the new data economy would operate – not just decentralised but also fostering data innovation especially within AI. It’s amazing to see this vision starting to be realised.

About Streamr:

Streamr is an open-source platform for the free and fair exchange of the world’s real-time data based in Zug, Switzerland. Launched in Q2 of 2018, Streamr’s real-time data Marketplace will allow users to trade information over their P2P data network using the DATA token as a means of payment. Streamr’s October crowdfund campaign raised $30 million USD in just over 24 hours.

About Daisy AI:

Daisy is a decentralized platform for open-source, artificial intelligence. It uses various payments systems to create a better and more precise AI network. Daisy’s mission is to effectively connect distributed artificial intelligence with blockchain technology.

About CRYPTICS:

Cryptics is the world’s first public crypto analytics based on AI. Our mission is to give any person, whether it’s an investor, an expert or a novice market participant, an ability to find key information based on which it will be easier to take the most relevant decision regarding mining, buying or selling the cryptocurrency and creating portfolios of cryptocurrencies. We also offer an infrastructure for creating funds for successful traders, no matter how small they are. Finally, Cryptics will relate to the academic community to stimulate scientific research in the field of AI, as well as contribute to the further development of the blockchain technology and community.

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