Artificial intelligence is transforming commercial real estate from reactive building management to intelligent, self-optimizing environments powered by predictive sustainability, lease intelligence,

Skepticism of AI and infrastructure constraints may drive up the cost of computing power. Leaders will need strong governance to keep innovating. If you told me two years ago that the demographic most hostile to AI would be Generation Z and younger,

NEW YORK — The generational shift in how people learn about a business due to AI requires planning, training and reassessing, communications leaders said at an Axios AI+NY summit Expert Voices roundtable.

Employees rarely resist “AI.” They resist what AI signals: loss of control, and loss of trust, when leadership deploys tools faster than it redesigns safeguards.

Alan R. Shark is an associate professor at the Schar School for Policy and Government, George Mason University, where he also serves as a faculty member at the Center for Human AI Innovation in Society. Shark is also a senior fellow and former Executive ...

AI can dramatically increase speed and productivity, but without human judgment and accountability, it also creates costly mistakes, weak communication and bad decisions.

By fine-tuning domain-specific models with real clinical operations data — such as historical performance, feasibility outcomes, enrollment patterns, and resource utilization — hidden information can be translated into structured intelligence.

The concept of the “smart factory” has evolved significantly over the past decade. Early industrial AI deployments, often categorized as Industry 4.0, focused on centralized analytics. This typically involved collecting data from machines, transmitting ...

Smart cities technology integrates IoT sensors, AI analytics, and real-time monitoring to redefine the future of urban living. By optimizing traffic, energy, and waste management, cities can reduce congestion and emissions by up to 30%, improving quality ...