First, some housekeeping: This is the inaugural episode of The Identity Economy™ since moving off of the Medium platform. Why did we move? Well, we realized while Medium is great for amplifying articles, ultimately we wanted to make 'The Identity Economy™' synonymous with Kairos. That meant publishing it on our homegrown blog. #ContentMarketing etc.
So, yeah, welcome (back), thanks for joining us. You can expect the same hot-takes, oddball stories and snarky insights on all things face rec tech and modern identity culture. For the uninitiated, prepare yourself by pouring over our archived episodes.
Now, to the links…
Excerpt from an article by Amir Bozorgzadeh in Venture Beat.
“Back in August I explored the profound role that avatars will play in shaping our experience of immersive worlds in VR. I discussed how virtual embodiment will stretch our sense of self on multiple levels, be it physical, physiological, or psychological. While it is not at all an exaggeration to suggest that avatars will shift our conception of identity and self-expression into uncharted territory that we cannot, as of yet, readily comprehend or fully appreciate, that is only half the story.
Avatars will not only be our vehicle for entering immersive worlds, but also the doorway through which a new breed of intelligent characters will step through to greet us and guide our navigation through it. Let me explain how.”
Excerpt from an article by Christopher Mims in The Wall Street Journal.
“When you’re logging in to a Starbucks account, booking an Airbnb or making a reservation on OpenTable, loads of information about you is crunched instantly into a single score, then evaluated along with other personal data to determine if you’re a malicious bot or potentially risky human.
Often, that’s done by a service called Sift, which is used by startups and established companies alike, including Instacart and LinkedIn, to help guard against credit-card and other forms of fraud.”
I wrote about trust scores, which are like credit scores, only they're secret and not transparent and not specifically regulated, and will probably lead to good times if anyone ever proves they are potentially discriminatory https://t.co/i6nqPgDIzR
— Christopher Mims ? (@mims) April 7, 2019
Excerpt from an article by Peter Kafka and Rani Molla in Recode.
“Odds are very good that if you’re reading this, you watch Netflix. Are you paying for Netflix? That’s another story.
The streaming service says it has at least 139 million paid subscribers around the world. But there are decent odds that many more people are watching Netflix and letting someone else pay for it.
A new survey from analysts MoffettNathanson finds that 14 percent of US Netflix users admit that they’re watching the service using an account paid for by someone they don’t live with. That is, they’re watching Netflix even though they’re not technically supposed to be watching Netflix.”
Excerpt from an article by Matt Day, Giles Turner, and Natalia Drozdiak in Bloomberg.
“Tens of millions of people use smart speakers and their voice software to play games, find music or trawl for trivia. Millions more are reluctant to invite the devices and their powerful microphones into their homes out of concern that someone might be listening.
Sometimes, someone is.
Amazon.com Inc. employs thousands of people around the world to help improve the Alexa digital assistant powering its line of Echo speakers. The team listens to voice recordings captured in Echo owners’ homes and offices. The recordings are transcribed, annotated and then fed back into the software as part of an effort to eliminate gaps in Alexa’s understanding of human speech and help it better respond to commands. “
Excerpt from an article by James Cook in The Telegraph.
“Facebook has developed a plan to turn its users into the stars of advertising campaigns through new technology which can automatically scan people’s photographs and identify which products are featured in them.”
Excerpt from an article by Rick Edmonds in Poynter.
“A year ago, without ceremony, The New York Times piloted ad placements based on the emotions certain articles evoke. “Project Feels” has now generated 50 campaigns, more than 30 million impressions and strong revenue results (the Times declines to specify how much).
So it’s a hit, and the sort of advertising innovation based on data science, artificial intelligence and algorithm that the Times expects to scale up — and that other news organizations are exploring."
Excerpt from an article by James Wellemeyer in MEL Magazine.
"Priya Mittal, a 19-year-old freshman at Brown University, lives for spontaneous FaceTimes. She’ll be at the library in the middle of her Intro Economics problem set, or in her room changing into her pajamas after a shower, when a friend will surprise her with an out-of-the-blue iPhone video chat invitation. Even if she’s still wrapped in a towel, she’ll pick up — that’s all part of the fun.
It’s also a generational thing. That is, for groups of college students and high schoolers, texting is out. Their go-to method of communication is FaceTime. 'If you want to say something to someone, you don’t call them on the phone anymore,' says Kyle Baker, a 21-year-old junior at George Washington University. 'You’ve gotta see their face.' Baker says he FaceTimes his friends 'all the time,' and doing so is 'totally normal'."
Thanks for reading this month's 'The Identity Economy™'—stay tuned for the next episode, in the meantime if you stumble across a story you think we need to cover, throw us a tweet @LoveKairos.
Threat actors use generative AI deepfakes to create or manipulate facial images for identity fraud. The process involves either generating new faces or altering existing images tailored to the victim's identity or created to pass as a legitimate user using generative AI. To address the problem specific image capture security protocols and a robust liveness algorithm should be used to effectively block generative AI spoofing attempts.
This guide outlines essential practices for capturing and uploading ID documents and selfies, ensuring a smooth and secure digital onboarding experience. By adhering to these guidelines, users can significantly enhance the accuracy of identity verification, reducing errors and improving the overall success rate.
As the landscape of digital identity verification rapidly evolves, Artificial Intelligence (AI) is at the forefront, reshaping traditional approaches. This deep dive into AI's role in identity verification is for those familiar with the nuances of data science and computer science.
Deep Learning, particularly Convolutional Neural Networks (CNNs), has revolutionized facial recognition technology. This layered approach enables the model to discern intricate facial patterns, enhancing recognition accuracy. Backpropagation, a key mechanism in CNNs, refines these features, significantly improving the model's ability to distinguish subtle facial characteristics.
Misidentification of people based on ethnicity, gender, and age plagues the facial recognition industry, and it’s a continuing mission of ours to fix this problem.
In our increasingly digital world, 'IDV' or identity verification is more than a buzzword; it's a fundamental component of online security and trust.
Kairos, the Miami based face recognition provider who gained global attention in 2018 for its early stance to highlight algorithm bias in face recognition systems, has brought back Brian Brackeen, the founder of the company who in the same year was separated from his position as CEO preceding a legal battle which ended in Brackeen’s favor.
A strong scientific discipline is key to the success of any AI focused startup. And having the best minds working on your problem, is the only way to generate category challenging results.
Google Next is Google’s annual conference focusing on their cloud computing offering, Google Cloud Platform. Thanks to our great Google Cloud account team in Miami, we were able to attend this year and learn about Google’s new announcements, network with experts and other peer companies, and get some in depth knowledge about GCP.
Facial Recognition is in big demand with businesses all over the world—from preventing fraud to enabling more profitable customer experiences; it’s becoming the natural authority on identity. Which is why we’re excited to announce a renewed partnership between Kairos and RapidAPI—the leading API marketplace for software developers.
Last week I attended the 2nd Annual Biometric Summit in New York City. It was hosted at a cool co-working space called “Rise” that’s sponsored by Barclays Bank and TechStars incubator. It was one of the smaller summits I have attended, with a single track and about 100 attendees—ranging from biometric vendors and end-users to analysts (? Alan Goode) and investors.
As Kairos’ Director of Product Integration, I’m on the front lines when it comes to customer inquiries. From pet detection to weight detection, I’ve heard it all. While some ideas are more far-fetched than others, the common trends cannot be ignored—and these represent innovations that are happening NOW.
From getting the latest TechCrunch headlines on your phone, to booking a Lyft to your office—APIs are powering most of the products and services we all take for granted each day. They make the world move.
This month, CB Insights mapped out the top-funded AI startups in every US state—and, Miami based face recognition company, Kairos came out on top for Florida.