Craig Park (He/Him)
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- United States of America
About Craig Park
As an architect by training (BS Architecture, Cal Poly SLO) and a collaborative technologist with four decades of practice, I’m passionate about mentoring the next generation of AV professionals at the intersection of technology, strategy, and leadership. I have been active in AVIXA since 1986 and served on the national board from 1993–2000. I am a Fellow of the Society for Marketing Professional Services (SMPS) and an Associate member of the American Institute of Architects.
I serve as Director of Digital Experience Design at Clark & Enersen, a 200-person interdisciplinary architecture and engineering firm, where I lead the planning and design of integrated audiovisual and digital experience environments for higher education, healthcare, and research clients.
In parallel, through my personal advisory practice at CraigPark.Company, I counsel AEC and technology organizations on business strategy, collaborative design and delivery, and growth leadership.
My expertise spans systems design, integrated building technology planning, and strategic business development. I bring an award-winning, B2B design-thinking approach developed through leadership roles with national AEC and technology firms.
Across both institutional and consulting roles, I have led marketing and growth strategy, designed future-ready learning and simulation environments, and helped organizations implement AI-powered tools that scale expertise and performance.
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Adaptability Wins the Day: The Key to Leadership Resilience
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Recent Comments
I see them as similar in intent, but different in what they actually do. Both are trying to create a common layer so we stop building endless one-off integrations. But the AI Model Context Protocol is really about providing LLMs with a standard way to connect to tools, data, and external systems, whereas the MCP described here feels more like an AV orchestration layer for coordinating media, devices, services, and room behavior in real time. So one is mostly about AI-to-system interoperability, and the other is about system-to-system operational orchestration. The interesting future may be where they meet: an AI agent could use Model Context Protocol to interact with an AV orchestration platform. Anthropic's MCP gives us the foundation, AVIXA members give us the ability to develop applications in our ecosystems.
Thank you @Craig Park for this amazing podcast! it’s quickly become my favorite way to make the traffic time fly by.
Thank you, Mohanned! It's been a great experience putting these together.
Under-rated and under-applied. Well said! Thank you.
Justin, well said! I continually look at prompt design as the key to effective AI usage. Notwithstanding a great prompt, AI agentics often "invent" information to fill in the gaps. Solid prompts, and review/revise/regenerate directorial input leads to better outputs.
Mohannad, thanks for posting this. And thank you for reaching out to schedule our talk. I really enjoyed our conversation. It proved you can have a coffee at 10 am EST and 4 pm Saudi Arabia Standard Time and have fun too.
We need more 'casual conversation' in xChange and in the industry. We share common challenges, and together we can create solutions. AI, AVoIP, IPMX, and other emerging technology trends deserve our close attention and continued development to demonstrate our value to the clients we serve in the workplace, education, healthcare, retail, and entertainment sectors.
Such tools like this can really make life easier for consultants and integrators,,,
excited to see where this goes!
Agree. I expect we'll see tools developed that will address this workflow consistent with CSI/Masterformat guidelines for comprehensive specifications.
AI-powered specification tools are the way! When took about AI being agile and efficient, we need to talk about these technologies more
Agree. AI can easily interpret equipment bills of materials and create room specifications that follow CSI/Masterformat guidelines.
AGI is still theoretical.
But coming "real soon now" to a practice near you. Companies wanting first mover advantage are shifting strategies to embrace collaborative AI orchestration.