Try for free
The AV Life
The AV Life

323: Live from HETMA Virtual Conference Happy Hour

23 February 2026 52:56 Tim Van Woeart

Listen to episode

About this episode

Recorded live during the HETMA Virtual Conference Happy Hour, this episode of The AV Life Podcast features hosts Tim Van Woeart, Murphy Daley, Nancy Blanchard, and Joe Way alongside board members and guests including Dustin, Teddy, Troy, Tim, and Brittany.

The group reflects on keynote insights about AI in higher education AV, emphasizing historical context, philosophical implications, and practical readiness. Accessibility emerged as a major theme, including lecture capture by default, AI as a learning assistant, and expanded use cases for assisted listening systems to support hard-of-hearing and neurodiverse learners.

The conversation also highlights HETMA surpassing 10,000 members, engagement metrics, community growth strategy, and upcoming initiatives. Blending thoughtful discussion with classic AV Life humor, the episode captures the energy, innovation, and camaraderie of the higher ed AV community.

Topics Discussed:

  • AI keynote insights and philosophical framing
  • Practical implications of AI for higher ed AV
  • Lecture capture by default
  • Accessibility and neurodiverse learner support
  • Listen assist over Wi-Fi applications
  • Instructional design considerations
  • HETMA surpassing 10,000 members
  • Community engagement metrics and strategy
  • State of HETMA updates
  • Virtual conference highlights and panel discussions
  • Cross-platform production (Zoom + StreamYard)
  • Infocomm planning and future initiatives
The AV Life is a Higher Ed AV Media production. More at higheredav.com.

Connect with Tim Van Woeart:
LinkedIn: https://www.linkedin.com/in/tim-van-woeart-cts-45416826/
X (Formerly Twitter): https://www.x.com/TVanWoeart

Connect with The AV Life:
X (Formerly Twitter): https://twitter.com/TheAVLifePod
YouTube: https://www.youtube.com/@theavlife3337



More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The AV Life. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support