Accelerating your business with low-code development (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.

In this week’s real-time analytics news: MLCommons announced new results for the MLPerf Inference v6.0 benchmark suite.

To successfully scale agentic AI, enterprises need to approach it as a systems engineering problem, not just a model deployment exercise.

Traditional cyberattacks typically involve one of two strategies: bypassing authentication or exploiting software vulnerabilities. MCP-based systems introduce a different category of risk.

The expansion of smart cities and industrial deployments means infrastructure must be built to withstand harsh, evolving environments while maintaining reliable connectivity and power.