Mind & Machine DFW: Generative AI for Business Leaders - January 15, 2025

Mind & Machine DFW

Presents: What’s Coming in AI in 2026: From Innovation to Responsible Scale

AI is moving fast—but not all progress is created equal. As organizations look ahead to 2026, the real differentiator won’t be who experiments with AI first, but who scales it securely, responsibly, and with measurable impact.

In this session, Nick James—Founder of WhitegloveAI and co-author of The Handbook for Chief AI Officers—will explore the key AI shifts shaping the next 12–24 months. Drawing from deep experience across cybersecurity, cloud, and enterprise AI adoption, Nick will unpack where AI is heading, what’s overhyped, what’s underappreciated, and what leaders should be preparing for now.

Attendees will gain insight into emerging AI governance models, security-first adoption strategies, and how organizations—especially in regulated and public-sector environments—can move from experimentation to real-world outcomes without increasing risk. This talk is designed for executives, operators, and technologists who want clarity, not buzzwords, as AI enters its next phase.

About the Speaker:

Nick James is the Founder of WhitegloveAI, a managed AI services and consulting firm helping organizations—particularly in the public sector—adopt AI responsibly and securely. With over 16 years of leadership across cybersecurity and AI, Nick specializes in bridging innovation with strong governance and security. He is the co-author of The Handbook for Chief AI Officers, co-founder of the AI-driven CRM platform Lucidis, and was recognized as one of the Top 75 AI Innovators in DFW. Nick is a trusted advisor known for translating complex AI and security challenges into practical, measurable outcomes.

🙌 Sponsor Spotlight:

WhitegloveAI
Led by Nick James, Founder
🔗 https://www.linkedin.com/in/nickjam3s
🔗 https://www.whitegloveai.com

• Helps organizations adopt AI securely, responsibly, and at scale
• Specializes in AI governance, cybersecurity, and risk-aware AI implementation
• Creator of the AI Adoption & Management Framework (AI-AMF), guiding AI from strategy to measurable outcomes
• Deep expertise supporting public sector, regulated industries, and enterprise environments
• Led by a former AWS AI & Cloud Security Advisor and co-author of The Handbook for Chief AI Officers
• Mission: enable innovation without compromising security, trust, or compliance