Daz Williams

Use this template to systematically compare AI vendors for your specific needs.

Use this checklist to assess and improve the quality of data for AI initiatives.

AI success requires strategic business alignment with leadership commitment, clear metrics, and robust data infrastructure with quality governance.

This glossary provides clear, non-technical definitions of key AI terms that business leaders should understand.

The AI business ecosystem comprises key players, build-vs-buy considerations, diverse platforms and tools, and strategies for evaluating potential vendors and partners.

AI systems have remarkable abilities in pattern recognition and data processing but face significant limitations in understanding context, possessing common sense reasoning, and functioning without human oversight.

Data fuels AI systems, requiring quality preparation across structured and unstructured forms, with proper metadata for optimal performance.

Streaming company leverages machine learning for its recommendation system, exemplifying how core AI technologies like neural networks and predictive analytics deliver personalized user experiences.

Demystifying AI for Business explores the real business applications of AI, separates facts from myths, provides historical context, examines current enterprise AI, and includes an AI Reality Check Assessment.