Using predictive software for building energy management usually entails solving an optimization problem--with the main tradeoff being cost versus comfort. One company, BuildingIQ, is having success solving the challenge and is looking to make automated electricity demand response (autoDR) a reality.
Agentic AI can redefine industrial operations, but that is only if it is deployed with discipline and can scale across the organization.
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, high-performance in-memory databases, and adaptive intelligence to support real-time enterprise operations.
AI is reshaping engineering document management, moving it beyond static file storage to dynamic, decision-ready documentation ecosystems.
As customer expectations continue to evolve, so too must the technologies that support engagement. Enter the Real-Time Interaction Management (RTIM) engine.
Data-driven facility management revolutionizes efficiency and cost savings and can lead to significant performance improvements. That, in turn, positions facilities management as a vital strategic asset.
The most common types of IoT data being gathered and stored are device information, time series data, and contextual data.
Auto manufacturers are adopting smart manufacturing strategies to modernize facilities and improve the sustainability of their operations.
XAI provides full insight into what decisions a system is making and why, which, in turn, identifies what data can be trusted and what data should be cast aside.
A new research collaboration will focus on Superlearners, a foundational machine learning technology that enables autonomy for all building applications.