Image of the word 'Identity' cascading from left to right


Most everyone you know is aware of Bitcoin. They may even know that it’s decentralized currency. Yet beyond their ability to state that fact, most folks have no idea what decentralized means in this context, or how Bitcoin got to be that way. To understand any of it, you have to know that the star of the decentralization show isn’t Bitcoin. It’s the Blockchain.


Blockchain technology, so far as I can tell, is the glorious revival of the open protocol internet of yesteryear. The Internet before Facebook moved in and created closed databases of our social identities, forcing us to offer them up in exchange for use of their platforms.

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Illustration of connected shapes symbolizing blockchain technology


During our years of innovation in the Face Recognition space, we’ve witnessed it go from near-obscurity, to full-blown mainstream (FaceID, anyone?). And as the list of industries adopting the technology expands and diversifies, we recognize one use case to be a dynamic stand-out. Blockchain.


Blockchain, while still in its early stages, is being adopted confidently, and quickly across a surprising range of industries. Every day, new companies are emerging and existing companies are migrating to bring blockchain products to market-- with many of the solution based offerings focussed on identity management or resolution.

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Illustration of a tombstaone with words 'R.I.P Passwords'


In their recent post , “RIP passwords: new web standard designed to replace login method[1]” The Guardian introduced The Web Authentication (WebAuthn) standard— a system built to replace passwords with biometric identity verification software for use on devices like a smartphone, security key, webcam or fingerprint scanner.


Rethinking the safety, and let’s be real, the convenience, of the traditional “7 character, at least one cap, one number and one symbol” password was long overdue.

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Illustrations of the PHP and Go programming languages logos


We recently upgraded from PHP to Go for our Face Recognition API architecture. In this article we share why we made the move, how it’s radically improved performance, and some lessons learned along the way.


As we strive to be the premier Face Recognition partner to businesses across the world, we constantly improve our platform to upgrade our products and enhance customer experience. And while undertaking a big rewrite such as this was not a small decision, ultimately, it was an easy one to make. Thankfully the impact has been tangible and real, in some cases even greater than we envisioned.

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Black and white illustration of the word 'bias', with happy and sad faces


Recently there has been a lot of concern, and press, around research indicating ethnic bias in Face Recognition. This resonates with me very personally as a minority founder in the face recognition space.


So deeply in fact, that I actually wrote about my thoughts in an October 2016 article titled “Kairos’ Commitment to Your Privacy and Facial Recognition Regulations” wherein I acknowledged the impact of the problem, and expressed Kairos’ position on the importance of rectification.

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