McCloy Data Insights.
Helping future-focused leaders navigate what’s next:
AI extraction in OpenText VIM needs a named owner
AI extraction in OpenText VIM only sticks when someone owns learning data, exception feedback loops, and what “good enough” means for everyday AP quality.
Trusted Data, Human Agency, and the AI Roadmap That Actually Works
AI is only as trustworthy as the data and governance behind it. McCloy Data explores why information quality, human oversight, and a practical roadmap matter more than speed of adoption.
Building Confidence for AI Inside OpenText VIM
Confidence is the key to successful AI adoption inside OpenText VIM. McCloy Data explores how small, governed pilots built on clean data and clear oversight create lasting value.
Practical AI in OpenText VIM
AI inside OpenText VIM delivers the most value when it starts from strong process and data foundations. McCloy Data explores low-risk, governed pilots that reduce exceptions and free capacity.
A Practical Step to AI Inside OpenText VIM is Starting Small, Governing Well
AI inside OpenText VIM delivers the most value when it starts from strong process and data foundations. McCloy Data explores low-risk, governed pilots that reduce exceptions and free capacity.
Four Emerging Categories of Generative AI Risk and How Readiness Changes the Conversation
Generative AI introduces interconnected risks across the enterprise, model capabilities, adversarial use, and the broader marketplace. McCloy Data explores how practical readiness assessment changes the conversation.
Responsible AI Governance that Balances Innovation, Compliance, and Human Oversight
Responsible AI governance is essential for sustainable success. McCloy Data explores practical frameworks that balance innovation, regulatory compliance, and human oversight — grounded in real SAP and OpenText environments.