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OpenText Launches AI Data Platform to Accelerate Secure Enterprise AI Adoption Across the Middle East

OpenText has unveiled its next-generation OpenText AI Data Platform, a transformative solution designed to help Middle East enterprises securely scale AI adoption, modernize data governance, and turn private organizational data into trusted, contextual intelligence. The announcement was made at OpenText World 2025, the company’s flagship global event.

This launch comes at a time when the Middle East continues to emerge as one of the world’s fastest-growing regions for artificial intelligence, digital transformation, and cloud modernization. While AI adoption is rising rapidly—with 84% of regional organizations already using AI—only 31% have effectively scaled AI across the enterprise, according to the McKinsey State of AI in GCC Countries 2025 report. The new platform directly addresses this gap by helping organizations securely manage, enrich, govern, and activate enterprise data for large-scale AI deployment.

Empowering Middle East Enterprises With Trusted, Context-Aware AI
George Schembri, Vice President & General Manager, Middle East at OpenText, said, “The region is entering a crucial phase where organizations must move beyond pilot projects and achieve enterprise-wide AI value. The OpenText AI Data Platform is engineered for ‘trust, security, data sovereignty, and contextual intelligence,’ enabling organizations to unlock business-ready insights while meeting local regulatory and data residency requirements.”

The platform focuses on transforming proprietary data into fully governed, metadata-rich, audit-ready intelligence—a foundation essential for reliable enterprise AI. OpenText also announced a deeper collaboration with Databricks, enhancing their joint capabilities through integrated data intelligence, Delta Sharing, and improved interoperability across the Databricks Data Intelligence Platform.

This will allow customers to unify, govern, and analyze enterprise data at scale while powering secure, trusted AI innovation across sectors such as government, BFSI, energy, telecom, and healthcare.

Trusted AI Built on 35 Years of Enterprise Data Governance
Drawing on three decades of global experience in secure enterprise content management, OpenText emphasized its commitment to AI that is accurate, auditable, secure, and governed.

Its AI strategy aligns with three core principles:

  • Multi-cloud flexibility – supporting on-premises, private cloud, public cloud, and hybrid environments.
  • Multi-model compatibility – enabling customers to use any AI model, including custom LLMs.
  • Multi-application integration – connecting to ERP, CRM, HR, supply chain systems, and other enterprise platforms.

This ensures AI systems operate with high-quality enterprise data while preserving data residency and sovereignty—a top priority for Middle Eastern governments and enterprises.

New AI Tools to Accelerate Digital Transformation in the Middle East
Alongside the AI Data Platform, OpenText introduced several new enterprise AI products:

  • OpenText Aviator Studio – a no-code environment to build and govern enterprise AI agents, with guardrails against prompt injection and misalignment.
  • OpenText Knowledge Discovery – real-time ingestion of structured and unstructured data for cross-functional knowledge bases.
  • OpenText Data Compliance – AI readiness assessments, privacy tools, PII redaction, and governance frameworks baked into workflows.
  • OpenText Aviator AI Services – expert-led support for data normalization, AI agent creation, and measurable ROI acceleration.

Together, these innovations strengthen OpenText’s end-to-end strategy for delivering secure, compliant, and scalable AI ecosystems that support the Middle East’s ambitions in smart cities, e-government, advanced manufacturing, fintech, and cloud modernization. OpenText reiterated its commitment to partnering with key global players—including SAPMicrosoft, and Google—to advance a flexible, agent-to-agent roadmap built around the region’s stringent AI and data sovereignty requirements.

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