Pro Av And Ai Integration

The Future of the Engineering Community: Equity, AI, and Real Connection

The Engineer Who Builds Communities, Not Just Systems! Angelie Vincent has spent more than two decades in aerospace engineering, but her real legacy might be the communities she’s built along the way. Now an AI Integration Engineer at Boeing, Angelie joins Professional Quotient host Jason Winningham for a wide-ranging conversation on neurodivergent leadership, workplace…

Security Integrators at a Crossroads: Adapt to AI, Cloud, and Talent Gaps or Fall Behind

The security industry's rapid shift toward cloud and AI is forcing integrators to choose between evolving their capabilities and losing market relevance

Mentorship, Training, and Culture Shifts to Boost Workforce Development in the Security Sector

Security leaders are rethinking talent strategies as mentorship and cultural change become competitive advantages in a tight labor market

Jabra and Microsoft Teams Integration: Insights from Josh Blalock and Danny Hayasaka

Industry leaders reveal how unified communication platforms leverage AI to transform hybrid work collaboration

On-Device AI is Today’s Tech Innovation, Competition and Market Leadership Driver

Companies that embed artificial intelligence directly into devices gain decisive advantages in speed, security, and user experience over cloud-dependent competi

Strategic Investments In AI Accelerators Ensure Ongoing Competitiveness in the Generative AI Era

Companies racing to deploy generative AI are discovering that hardware infrastructure, not just software, determines who wins and who falls behind

Integrating Technology in The Modern Locker Room: Transforming Athletic Training Facilities to Boost Recruitment and Retention

Forward-thinking athletic programs are discovering how modern tech upgrades in training spaces directly impact how they attract and retain top talent

As Organizations Ask If They “Should” Launch AI Projects, A Risk Management System Becomes Essential

Industry leaders recognize that responsible AI adoption requires robust safeguards before deployment, not after problems emerge