Peter Orbán — CEO
I've spent several technology waves doing the same thing: bringing transformative technology into Fortune 500 enterprises and making it work. The technology changes - advertising in post-communist Hungary, digital marketing, e-commerce, mobile & social, distributed ledger, AR/VR, and now AI - but the core challenge remains constant. It's never really about the technology. It's about translating technical capability into business value, and navigating the organizational, process, and human challenges that determine whether technology investments succeed or become expensive experiments. As part of Lenovo's Enterprise AI team, I work with Global 2000 companies on AI infrastructure strategy and deployment. Before that, I led their North American AR/VR Global Accounts, building go-to-market from incubation to commercial launch. MY PATH TO AI (LONGER THAN IT LOOKS): The thread connecting my work goes back further than my current role suggests: → 2015: Co-founded ClipDis - one of ~40 initial Facebook Messenger platform partners (TechCrunch). Building conversational AI interfaces before "chatbot" was mainstream. → 2016: Led US expansion for ARQVR - real-time VR visualization platform. Early spatial computing experience. → 2017: Led commercialization at Augmate (Gartner Cool Vendor) - first IoT device management platform using distributed ledger technology. GPU-intensive distributed computing that presaged today's AI infrastructure. → 2019-2024: Industrial wearables and spatial computing -AI at the edge, computer vision, real-time processing. → 2024: Enterprise AI infrastructure directly - GPU compute, LLM deployment, MLOps. WHAT I'VE LEARNED ACROSS 30 YEARS OF TECHNOLOGY TRANSFORMATION: → Enterprise AI success is maybe 20% technology and 80% everything else - change management, process redesign, organizational alignment, executive buy-in → The companies that win are the ones that connect their AI investments to real business outcomes—not just run pilots → Operator experience matters. I've been a CEO three times, a co-founder twice, and run P&Ls across three continents. That perspective shapes how I think about transformation. I write about enterprise AI transformation, the gap between AI hype and reality, and what it actually takes to make emerging technology work in complex organizations. Always happy to connect with others thinking about these challenges.
Stackforce AI infers this person is a B2B SaaS expert specializing in AI and digital transformation for enterprise clients.
Location: New York City, New York, United States
Experience: 35 yrs 3 mos
Skills
- Artificial Intelligence (ai)
- Enterprise Strategy
- Digital Transformation
- Go-to-market Strategy
Career Highlights
- 30 years of technology transformation experience.
- Expert in aligning AI investments with business outcomes.
- Pioneered early conversational AI interfaces.
Work Experience
Lenovo
Enterprise AI Strategist (1 yr 2 mos)
NA Global Accounts Lead, Commercial XR & Spatial Computing (3 yrs)
RealWear, Inc.
Strategic Solutions Development Director (2 yrs)
Augmate (Gartner Cool Vendor 2017)
Chief Commercial Officer (2 yrs)
ArqVR
Head of North Americas/Co-FounderUS Market Lead (1 yr)
ClipDis
Co-Founder & North America Lead (1 yr)
Advertising Research Foundation
EVP, Innovation & Research - Mobile & Social (3 yrs)
Secret Sauce Partners, Inc.
CEO, Co-Founder (3 yrs)
Magyar Telekom
Director of Innovation and Corporate Development (1 yr)
WPP
Global Executive - Multiple CEO & SVP Roles at Young & Rubicam, Wunderman, Dentsu/Y&R (14 yrs)
McCann Erickson
Client Services Director (4 yrs)
Education
Internet of Things: Business Implications and Opportunities at Massachusetts Institute of Technology
Blue Ocean Strategy at INSEAD
Certificate at Stanford University
MSc at Corvinus University of Budapest
Master's degree at Corvinus University of Budapest
at Fazekas Mihály Fővárosi Gyakorló Általános Iskola és Gimnázium