A Business-First Approach to Autonomous Monitoring (Special Report)

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.

Snowflake announced a $200M partnership with OpenAI to co-develop and deploy customized AI solutions for their joint customers.

Ethical adoption of AI creates a workplace where human performance can be enhanced by AI and remain central to business success.

2025 was the beta phase of AI agents. Today’s new phase of AI agents requires that they designed with surgical precision to resolve specific frictions.

The ability to deliver AI-ready, trusted data depends less on new tools and more on how effectively DataOps are automated, governed, and observed.