An Introduction to Revenue Monitoring (White Paper)

Companies that develop or support products in the field need to transition from reactive to predictive maintenance and service. Such a transition is possible using ubiquitous connectivity and predictive analytics on machine data. Here’s how.

Although edge architectures differ fundamentally from conventional cloud and on-premises environments, edge isn’t an alternative to traditional infrastructure strategies as much as it is an augmentation of them.

The relationships banks have with their customers can last for decades, but too many banks fail to use the data they have to provide personalized digital banking services. 

Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.

To implement a successful agentic AI initiative, business leaders need to define clear jobs with measurable impact, ensure tight cost controls, and construct strong guardrails around these systems.

In this week’s real-time analytics news: Red Hat announced Red Hat AI Enterprise and the Red Hat AI Factory with NVIDIA.

The path from data islands to autonomous intelligence isn’t about centralizing everything. It’s about making distributed ecosystems operate as if they were unified with governance as the connective tissue.

Quantum disruption is coming. Readiness built through knowledge, crypto-agility, and thoughtful prioritization will create organizational resilience now without forcing exorbitant investments later.