Most companies are making a critical mistake with AI: treating ChatGPT and other large language models as the end goal instead of recognizing them as features within a broader enterprise strategy. In this episode, host Michael Fauscette talks with Professor Antonio Pace from UT Dallas about the disconnect between individual AI tools and true enterprise AI transformation.

What You'll Learn: 
• Why ChatGPT is a feature, not a complete enterprise solution 
• How to integrate AI into your workflows, not just individual tasks 
• Why "prototype paralysis" keeps companies stuck in the science fair • The energy crisis threatening AI scalability 
• How quantum computing could solve AI's biggest infrastructure challenges • Real-world quantum computing applications already in production 
• Practical steps for building an effective AI strategy in your organization

Antonio Pace brings over 30 years of industry experience and currently serves as Director of the AI and Business Analytics program at UT Dallas. He shares insights from his work consulting with global AI solutions companies and teaching quantum computing applications.

Key Topics Covered:
-Enterprise AI vs. Individual AI Tools (3:15)
-The Training Gap in AI Adoption (8:42)
-Moving Beyond Prototypes to Implementation (12:30)
-AI's Energy Problem and Infrastructure Needs (28:45)
-Quantum Computing: The Next Leap Forward (35:20)
Practical Quantum Applications Today (42:10)

About Disambiguation: Each week, we interview experts in artificial intelligence, generative AI, and business automation to help business leaders understand how to use these tools for maximum business impact.
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• Host: Michael Fauscette