From huddle rooms to boardrooms, classrooms to auditoriums, or outdoor venues, organizations require scalable solutions that deliver speech intelligibility for all participants.
Read the AV Technology Manager's Guide to Audio> to learn about the new technologies and trends shaping these spaces.

24 AV/IT Industry Thought Leaders share insights and trends on audio developments for enterprise, higher ed, live events, and other markets. Check out what they said.

AV/IT Team: Meet the team behind the new line array system that debuted at the New York Philharmonic.

7 Case Studies Worth a Listen:  Speech Intelligibility to Audio Upgrades 

31 Products That Resonate:  Ceiling and pendant speakers, IPMX-compliant audio
monitor, Dante-enabled in-ceiling loudspeaker, digital UHF wireless system, PoE-powered four-channel audio power amplifier, multilingual translations, portable RF-Over-Fiber box, network-based ecosystem, ceiling array microphone, collaboration bar, AV-over-IP platform, active subwoofers, cable connectors, audio control, and so much more!

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The University of Colorado Denver has launched its new Artificial Intelligence Hub, transforming a campus computer room into a dedicated space for students and faculty to explore AI. The hub will host lectures, discussions and collaborative events aimed at fostering understanding and responsible use of AI. The hub's creation involved input from engineering, liberal arts and IT departments, reflecting a campus-wide commitment to systematically addressing the opportunities and challenges of AI in higher education.

Semra Kılıç-Bahi, director of the Quantitative Skills Center at Connecticut College, argues for a 30-hour workweek for staff, highlighting benefits such as improved well-being, reduced environmental impact and maintained productivity. She cites her own experience balancing academic work and family life, as well as successful examples like D'Youville University's four-day, 32-hour workweek. Kılıç-Bahi urges higher education to lead by adopting more flexible work structures.

Stanford University introduced the AI Security Framework to address the emerging security challenges posed by AI systems capable of autonomous actions, not just data analysis. The framework evaluates AI based on factors like data sensitivity, system autonomy and the practical consequences of actions, aiming to make robust security practices accessible while supporting innovation. The AISF is designed as a flexible foundation for the university, reviewed annually and adaptable as AI capabilities and risks evolve.