Different moods, but both videos emphasize (not empathize) Bredemarket’s biometric product marketing expertise.
So what?
If your firm wants to speak to biometric prospects and customers, you need someone who speaks the language.
As a customer whose name I won’t mention recently said to me, “You have to know what FRTE [VENDOR NAME REDACTED] [NUMBER REDACTED] means.” (An algorithm submission to the U.S. National Institute of Standards and Technology Facial Recognition Technology Evaluation (FRTE), either the 1:1 test or the 1:N test.)
I just realized that I have never told the FULL story of FpVTE 2003 in the Bredemarket blog. I’ve only told the problem part, but not the solution part. Bad on me.
The problem part
I told parts of this in a 2023 post entitled “The Big 3, or 4, or 5? Through the Years.” One of the pivotal parts of the story was when the “big 4” became the “big 3.”
It happened like this:
These days the U.S. National Institute of Standards and Technology (NIST) is well known for its continuous biometric testing, but one of its first tests was conducted in 2003. At the time, there were four well-recognized fingerprint vendors:
Cogent Systems.
Motorola, which had acquired Printrak.
NEC.
Sagem Morpho, which had acquired Morpho.
There were a bunch of other fingerprint vendors, but they were much smaller, including the independent companies Bioscrypt and Identix.
I was a product manager at Motorola at the time, managing the server portion of the company’s automated fingerprint identification system (AFIS), Omnitrak. This featured a modernization of the architecture that was a vast improvement over the client-server architecture in Series 2000. The older product was still in use at the Royal Canadian Mounted Police (RCMP), but Motorola was in the process of installing Omnitrak in Slovenia and upgrading existing systems in Oklahoma and Switzerland.
“FpVTE 2003 consists of multiple tests performed with combinations of fingers (e.g., single fingers, two index fingers, four to ten fingers) and different types and qualities of operational fingerprints (e.g., flat livescan images from visa applicants, multi-finger slap livescan images from present-day booking or background check systems, or rolled and flat inked fingerprints from legacy criminal databases).”
So the companies listed above, among others, submitted their algorithms to FpVTE 2003. After the testing, NIST issued a summary report that included this sentence.
“Of the systems tested, NEC, SAGEM, and Cogent produced the most accurate results.”
You can see how this affected Motorola…and me. We were suddenly second-tier, via independent confirmation.
I’m a loser, baby. Google Gemini.
We first had to go to the RCMP and admit that we weren’t as accurate as other systems. This came at a particularly bad time, since the RCMP was engaged in a massive system upgrade of its own. While Motorola’s FpVTE performance was not the ultimate deciding factor, we lost the massive RCMP system to Cogent.
But Motorola did something else at the same time.
The solution part
The accuracy of an automated fingerprint identification system falls in the laps of the algorithm developers, whether the vendor develops its own algorithms or buys a third-party algorithm from another AFIS vendor.
Motorola developed its own algorithm…and one of the R&D leaders was Guy Cardwell.
Motorola held a User’s Conference after the FpVTE results announcement, and Cardwell spoke to our customers.
It wasn’t a flashy presentation with smoke and mirrors.
It wasn’t an accusatory presentation calling NIST a bunch of crooks.
It was basically Guy, on stage, saying that we didn’t do well.
And that we would do better.
Now of course that in itself means nothing unless we actually DID better. The R&D team went to work and improved the algorithm, and continued with other advances such as supporting complete 1000 pixel per inch systems as Sweden demanded.
But from a product marketing perspective, Motorola’s initial messaging to its customers was critically important.
Because if Motorola didn’t publicly address its FpVTE 2003 performance, then the only people talking about it would be Cogent, NEC, and Sagem Morpho.
If you’re an identity/biometric marketing leader who requires content, proposal, and analysis expertise from a biometric product marketing expert, make sure you read the following:
Bredemarket markets to identity/biometric firms that market to their own prospects.
And this quote from Aja Frost at HubSpot is relevant to anyone who markets to anyone, and wants to attract attention from people using Google Gemini, ChatGPT, and other large language models to answer questions. You need to practice answer engine optimization (AEO).
“In the old world, you’d be publishing ‘The Ultimate Guide to Content Marketing.’ And in the AEO world, you are publishing ‘The Ultimate Guide to Content Marketing If You Work at a Logistics Company in New Jersey’ because answer engines surface highly relevant, contextualized, tailored information to every person who is using them.“
HubSpot preaches something very similar to Never Search Alone: when you cast a wide net, there are too many holes.
Google Gemini.
This reminded me that I need to narrow my focus whenever possible and address the issues important to marketing leaders at identity and biometric firms.
What types of “highly relevant, contextualized, tailored information” do identity/biometric prospects need?
A good chunk of her email was devoted to her statements on how much content should cost. It turns out that my rates are in the ballpark that she described.
Bredemarket’s services, process…and pricing.
But that’s not the most important part of the email. The key observation comes at the end.
“If you want to create high-quality blog posts, engaging videos, or targeted social media campaigns, you will need to pay for skilled writers, designers, videographers, and social media experts.
“No, it doesn’t come cheap. But remember that for every dollar spent on content marketing, you get 3 in return, and that content marketing brings 6x the ROI of other marketing tactics.”
“Higher education institutions are increasingly targeted by identity fraud schemes, including “ghost students,” synthetic identities, and financial aid fraud. At the same time, universities must support digital access for students, alumni, faculty, and staff across fragmented IAM environments that span legacy systems, modern cloud platforms, and third-party services.”
Let’s look at the what.
Verify student, alumni, and staff identities using high-assurance proofing and biometric verification
Reduce financial aid and enrollment fraud caused by synthetic or stolen identities
Strengthen assurance across fragmented IAM environments spanning legacy and modern systems
Enable strong, passwordless authentication based on verified digital identity that is reusable and persists across enrollment, academic access, and alumni engagement
If your company provides educational identity solutions, and your message isn’t getting out to your prospects, perhaps you need to talk to the biometric product marketing expert, Bredemarket.