Secret CTO Newsletter | How Technology Leaders Can Quantify the True Value of Emerging Tech

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Beyond Hype: How Technology Leaders Can Quantify the True Value of Emerging Tech

In 2025, the CTO’s job isn’t just to explore what’s new—it’s to quantify what’s valuable. With generative AI, cybersecurity threats, and automation accelerating simultaneously, the pressure to separate signal from noise has never been greater.

Take Stripe, for example. Their CTO’s decision to double down on AI-powered fraud detection wasn’t just based on promise—it was based on precision. By embedding machine learning into core transaction flows, they didn’t just reduce fraud—they created a quantifiable revenue gain from reduced chargebacks and improved merchant trust. That’s a textbook case of measuring what matters.

Or look at Armis, the cybersecurity firm making waves for its AI-powered threat detection platform. In response to the surge in global cyberwarfare threats, they built a system that not only flags vulnerabilities in real time but also predicts their likely business impact. As a result, Armis is now a critical partner for global enterprises managing high-risk digital infrastructure.

Meanwhile, Loadsure, an insurtech company, has redefined how CTOs in logistics approach risk. Their real-time freight risk modeling doesn’t just prevent loss—it enables new underwriting strategies that turn risk into a monetizable asset. It’s a classic case of tech transforming operations and commercial models at once.

What these companies share isn’t just innovation—it’s quantification. The best tech leaders today aren’t just deploying tools—they’re building data-driven decision engines. They connect disparate systems, quantify risk in real time, and give every team—from product to compliance—a shared language of measurement.

The mistake many organisations still make? Assuming value will reveal itself through adoption. But in reality, the most advanced companies are building internal frameworks that force value to be proved before scale. It’s what separates experimentation from excellence.

So here’s the strategic takeaway: in a world where everyone has access to emerging tech, the advantage belongs to those who can measure impact at every stage. That means:

• Architecting data ecosystems, not just dashboards

• Modeling both upside and risk in tandem

• Building cultures where innovation is tested through quantifiable outcomes

In a volatile tech landscape, clarity is the new speed—and measurement is the new moat.

Reach the CTOs shaping the future of technology. Get your brand in front of the decision-makers who matter.

🔗 Link Dump

1. Armis: AI Supercharging Cyber Threat Detection

   How Armis is turning predictive AI into a commercial differentiator in cyber risk modeling.

2. Loadsure Bolsters Executive Team

   An inside look at how Loadsure is using tech to reimagine freight insurance and real-time risk.

3. Global Survey: 92% of AI Early Adopters See ROI

   Evidence that the ROI conversation around AI is moving from theory to reality for leading companies.

4. Stripe's AI Fraud Detection as a Revenue Driver

   Reference to the broader landscape of fraud detection tech being central to business performance.

5. Luzern Risk Receives $12M Investment

   Why investors are backing platforms that turn traditional risk modeling into real-time strategy.

6. Less Than Half of Vulnerabilities Get Patched

   The blind spot in cybersecurity that real-time platforms like Armis aim to address.

7. Top 10 Skills for Business Analysts in a Data-First Era

   A reminder that the modern CTO's team needs both technical and analytical fluency to quantify value.

8. Healthcare AI Adoption Index – BVP

   Benchmarks for CTOs navigating AI’s impact in highly regulated, high-risk sectors.

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A publication from Contentive’s Technology Media Division