Seunexy



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Jr. MemberActivity: 259Merit: 1 Re: [ANN] Quadrant Protocol - A blueprint for mapping decentralized data June 01, 2018, 01:06:15 PM #101









We are excited to announce Pavel Bains, CEO of Bluzelle, has joined our advisory board. He will be aiding Quadrant with his expertise and insights into building decentralized data solutions for our users. Read more about it here:



We are excited to announce Pavel Bains, CEO of Bluzelle, has joined our advisory board. He will be aiding Quadrant with his expertise and insights into building decentralized data solutions for our users. Read more about it here: https://medium.com/quadrantprotocol/pavel-bains-joins-quadrant-advisory-board-21de9fe510ae

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cryptotycoon33



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MemberActivity: 248Merit: 10 Re: [ANN] Quadrant Protocol - A blueprint for mapping decentralized data June 03, 2018, 08:01:44 AM #104 Quote from: BitProNews on May 09, 2018, 05:03:53 PM

I suggest planning a bounty program to help growth the community and let more people know about Quadrant Protocol. I suggest this because i didn't find any bounty program so if there is one, please provide a link to it here.

Reaching the softcap in few time is a great news that Quadrant Protocol announced a partenership with Bluzelle in the 20/04 which spread out the new project for the community. The announcment was published in medium article I suggest planning a bounty program to help growth the community and let more people know about Quadrant Protocol. I suggest this because i didn't find any bounty program so if there is one, please provide a link to it here.

This is a very wonderful information you have here. We are very grateful to Quadrant protocol team for achieving this great feat of attaining the softcap in few time. Thanks This is a very wonderful information you have here. We are very grateful to Quadrant protocol team for achieving this great feat of attaining the softcap in few time. Thanks

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Jr. MemberActivity: 280Merit: 1 Re: [ANN] Quadrant Protocol - A blueprint for mapping decentralized data June 04, 2018, 06:57:31 AM #108 Kenetic Capital Joins Quadrant Protocol Advisory Team



We are delighted to announce the addition of Kenetic Capital to Quadrants Protocol Advisory team! Their addition represents a significant step toward achieving our goals of helping innovators navigate and monetize the data space!



We are delighted to announce the addition of Kenetic Capital to Quadrants Protocol Advisory team! Their addition represents a significant step toward achieving our goals of helping innovators navigate and monetize the data space!

ElegantCy



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Full MemberActivity: 424Merit: 100 Re: [ANN] Quadrant Protocol - A blueprint for mapping decentralized data June 05, 2018, 04:57:03 AM #110



AI requires vast volumes of data that not every company has access to. The data exists but is often scattered throughout various industries and made up of different types. This makes it difficult for small companies to procure the volumes of diverse data that they need. Large companies are far more immune to this problem because they have the resources to collect and store the volumes of data necessary for their AI activities. Google,Amazon etc for example, has access to vast amounts of data via their own products: conversation and purchase history from Gmail, location history from Google Maps, and mobile/ shopping history activities from the Android OS. They are able to take a much more holistic view as a result of having so many users. Companies like these are able to produce AI innovation at a much larger scale, solving bigger problems and producing better products.



Everyone should be able to achieve the best results from his/ her algorithms and, therefore, produce better solutions for the world.



Read more on this here in the



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Quadrant Protocol; closing the AI Data Gap between Haves and Have-notsAI requires vast volumes of data that not every company has access to. The data exists but is often scattered throughout various industries and made up of different types. This makes it difficult for small companies to procure the volumes of diverse data that they need. Large companies are far more immune to this problem because they have the resources to collect and store the volumes of data necessary for their AI activities. Google,Amazon etc for example, has access to vast amounts of data via their own products: conversation and purchase history from Gmail, location history from Google Maps, and mobile/ shopping history activities from the Android OS. They are able to take a much more holistic view as a result of having so many users. Companies like these are able to produce AI innovation at a much larger scale, solving bigger problems and producing better products.Everyone should be able to achieve the best results from his/ her algorithms and, therefore, produce better solutions for the world.Read more on this here in the whitepaper Join the discussion on Telegram