Build trustworthy AI in the cognitive era with information management
It’s no secret most enterprise AI strategies are hitting a wall. Public models weren't trained on your business data, and you can't hand over your organization's proprietary information to a public system.
Written by OpenText leaders, Enterprise Artificial Intelligence: Building Trusted AI with Secure Data provides the definitive roadmap for this new reality, arguing that trusted data and responsible AI are two sides of the same coin. It offers the architecture and governance frameworks you need to move from isolated AI experiments to enterprise-grade deployments. What you’ll learn:
- The evolution of enterprise data and how governance underpins AI maturity.
- How industry frameworks guide responsible AI deployment, addressing fairness, accountability, and regulatory compliance.
- Why emerging cybersecurity challenges call for a zero-trust architecture and proactive defenses.
- The "Sovereign AI” blueprint for organizations to safely unlock private data for a true competitive advantage.