Mark Tullis
Mark is Co-founder/Editor of TechBuzz News. From Ogden, UT, Mark attended WSU, BYU, and Tufts. He has been involved in tech, media, publishing since the 80s.
Utah banks and a leading fintech attorney reveal how sponsor banking and BaaS partnerships have shifted: stricter oversight, higher operational standards, and relationship-driven frameworks are raising the bar for fintechs—and expanding access to modern financial services.
by Mark Tullis
The Hot Takes panel at FinTech Xchange 2026 explored AI adoption, regulatory innovation, stablecoins, financial nihilism, and emerging fintech companies, highlighting Carefull, Polymarket, and micro-apps shaping the future of finance.
by Mark Tullis
UVU professor Brandon Truscott wins an international AI Design Award, using AI as a creative partner to produce sculptural design while preparing students for AI-driven creative industries worldwide recognition Barcelona.
by Mark Tullis
Utah leaders unveiled February as Tech Month, highlighting Silicon Slopes’ role, state–industry collaboration, and a pro-human approach to innovation driving one of the nation’s fastest-growing tech ecosystems.
by Mark Tullis
Fortem Technologies (Lindon, UT) has demonstrated what it says is the first fully autonomous five-on-five drone intercept, signaling that counter-UAS defenses may now match the scale and autonomy of modern drone swarms.
by Mark Tullis
Palladyne AI’s post-Sarcos reinvention is yielding results across defense, space, and industry, with missile, Air Force, and spacecraft contracts—alongside the commercial release of its IQ 2.0 platform—validating its shift to scalable, edge-based autonomy software.
by Mark Tullis
OneMeta’s VerbumOnSite™ will deliver near-instant multilingual translations at SUMMIT 2026, enabling real-time captions in seven languages with sub-second latency, improving accessibility and global engagement at the large tech conference.
by Mark Tullis
At UVU’s AI Agent Behavioral Science Conference, Intermountain’s Tamara Moores Todd explains why trust, governance, and systems—not hype—determine whether AI succeeds in high-stakes healthcare environments.
by Mark Tullis