Professional AV
AI in Pro AV: Addressing Opportunities, Use Cases, and Concerns w/ Joe Pham of QSC and Q-SYS
Industry leaders examine how AI is reshaping professional audio-visual systems through practical applications and strategic implementation
This story was produced through MarketScale. See how Professional AV teams put it to work with Customer Stories & Case Studies.
Key takeaways
AI is reshaping professional audio-visual systems.
Joe Pham discusses the opportunities and concerns of AI in Pro AV.
The focus is on practical applications and strategic implementations.
On this episode of Pro AV Today, we break down the topic du jour in Pro AV: artificial intelligence. Joe Pham, the Chairman & CEO of QSC | Q-SYS, joins Ben Thomas to talk about how AV and AI are coming together and pushing the AV industry forward.
Key Topics:
Decoding AI in the AV Industry
Joe Pham introduces us to the nuts and bolts of AI in the AV industry. He specifically elaborates on AI's practical applications, which include computer vision and cloud-based monitoring and management. These AI-driven technologies help enhance video-conferencing experiences and simplify the management of AV assets.
"Immediate use cases readily available today with high value to the customer include computer vision. This technology is essential for video conferencing, using cameras that automatically switch, track, and crop so that someone on the far end feels like they are in the room," says Pham.
Immediate use cases readily available today with high value to the customer include computer vision. This technology is essential for video conferencing, using cameras that automatically switch, track, and crop so that someone on the far end feels like they are in the room.
— Joe Pham, Chairman & CEO of QSC | Q-SYS
AI vs. Logic-Based Workflows
The conversation moves on to define the differences between AI, machine learning, and logic-based workflows. Pham explains that while logic-based workflows follow the 'if this, then that' principle, AI is probabilistic and uses neural networks trained on data, mimicking human-like decision-making processes.
"AI, on the other hand, is probabilistic. It uses neural networks trained on data to provide human-like answers because humans are not deterministic," explains Pham.
AI, on the other hand, is probabilistic. It uses neural networks trained on data to provide human-like answers because humans are not deterministic.
— Joe Pham, Chairman & CEO of QSC | Q-SYS
The Future of AI in AV
According to Pham, we're just in the initial phase of AI's lifecycle in the AV industry. But he is optimistic that as AI continues to evolve, it will enable AV systems to do remarkable things that will enhance human experiences and business outcomes.
"This is revolutionary and changes everything. By the time we get to the fourth or fifth inning, our AV systems will be doing remarkable things in terms of elevating human experience and delivering better business outcomes," declares Pham.
Final Thoughts on AI Adoption
Pham advises AV professionals eager to tap into the power of AI to start now with computer vision AI and cloud monitoring management. He encourages them to take the initiative to start learning and capitalizing on these rapidly advancing technologies today.
"Start now with computer vision AI and cloud monitoring management. These are developed and readily available technologies today. Get off of zero—staying on zero is the only losing position," recommends Pham.
—
To view Joe Pham's keynote at InfoComm 2024, visit qsys.com/ai.
About the author
Ben Thomas serves as Head of Pro AV at MarketScale, where he leads content and media strategy for the pro AV sector. With over 15 years of award-winning experience across large-scale events, network television, OTT platforms, and podcasting, he has guided major B2B brands including Intel, Sennheiser, Samsung, and Philips to billions of content interactions. He holds a B.A. in Mass Communications and is recognized for his expertise in podcast hosting, public speaking, marketing, and content strategy.
