Thales argues AI vendors need usage data to price products
Original title: Usage Intelligence: The Monetization Signal Most AI Companies Are Ignoring
The vendor piece says variable compute costs make telemetry essential and cites IDC buyer surveys plus Sentinel examples.
A Thales-oriented article says many AI companies lack visibility into product use while compute, energy, and model-license costs can outrun revenue. It describes usage intelligence as telemetry, CRM dashboards, contract enforcement, and a feedback loop into pricing and product decisions. IDC figures cited include 48 percent of buyers wanting better usage visibility and 45 percent preferring usage-based models. Examples involve companies moving to subscription or execution-limited trials with Thales Sentinel.
Unconfirmed: Growth and buyer-preference figures are attributed to IDC and Simon-Kucher, not independently verified here.
- IDC is cited as finding 70 percent rank rapid AI change among top security risks.
- Simon-Kucher is cited on growth from frequent, data-informed pricing changes.
- Sentinel is described as collecting usage from offline and disconnected systems.
- One example used trial licenses that expire after a set number of executions.
From the original article
6 min read at securityaffairs.com
AI companies need usage data to align pricing with costs, improve products, identify churn risks, and grow revenue through informed decisions. The AI Paradox There is a paradox: AI companies exist to extract intelligence from data, yet many have almost no visibility into how their own software is being used. They design complex models, introduce […]
By Pierluigi Paganini · securityaffairs.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.