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OpenText, a global leader in Secure Information Management for AI, announced its vision for the future of enterprise AI and the launch of the OpenText AI Data Platform (AIDP), a new platform that enables the convergence of data and AI to deliver secure, scalable enterprise capabilities.
As the amount of data within organizations grows exponentially, organizations face pressure to manage, protect, and leverage their private information. Additionally, McKinsey’s annual survey, ” The State of AI in 2025 ,” found that 51% of organizations using AI experience at least one negative impact or inaccuracy, highlighting the need for information governance. OpenText’s innovation roadmap is focused on helping customers build a contextualized data foundation to generate accurate AI results and accelerate business outcomes.
“AI is rapidly evolving, from search, summarization, and translation to domain-specific agents. But this doesn’t mean we’ll see a single super-agent; we’ll soon see an army of secure AI agents orchestrated by an AI orchestrator, covering every business process,” said Savinay Berry, Executive Vice President, Chief Product Officer and CTO at OpenText. “While others start with a model, we start with well-governed enterprise content and processes, so our agents provide auditable answers, not guesswork. We believe that trusted data and AI accuracy are no longer just an IT challenge, but a C-suite imperative.”
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Contextual AI Vision
OpenText’s strategy is based on nearly 35 years of experience as stewards of customer data. Actionable enterprise AI is only effective when it understands the specific situations, environments, and tasks its agents operate in. By capturing this context, OpenText injects new value into stale data while avoiding misinformation that leads to poor decision-making.
OpenText business applications help organizations manage massive data sets, including documents, business transactions, IT tickets, and security signals. These data sets can be human-generated, machine-generated, or cross-organizational. OpenText metatags information and provides data lineage, data rights, and data retention policies. Additionally, integrating these contextual elements with data security and identity access management is essential to improving the accuracy of any enterprise AI model.
OpenText Aviator leverages this context-rich data to deliver automated workflows powered by agent-based AI. OpenText Aviator is unique in that it adheres to three core standards:
Multi-cloud: Supports on-premise, cloud and hybrid deployments
Multi-model: Supports all AI models (LLM, SLM), including in-house models (BYOM/Bring Your Own Model)
Multi-application: Advanced integration with ERP, CRM, and other enterprise platforms
This open architecture allows organizations to customize their AI strategy to fit their business, industry, and compliance requirements. Additionally, OpenText works across its ecosystem with alliance partners, including SAP, Microsoft, Google, Salesforce, and Oracle, to advance its agent-to-agent roadmap through deep integrations.
Additionally, OpenText today announced an expanded partnership with Databricks, a data and AI company. OpenText is already leveraging OpenText Threat Detection and Response (TDR) to build solutions on the Databricks Data Intelligence Platform. Going forward, OpenText and Databricks will co-innovate on the OpenText AI Data Platform through technology integration and data sharing. This will enable customers to seamlessly integrate, manage, and analyze all of their enterprise data to unlock trusted AI insights and drive innovation at scale.
SOURCE: PRTimes
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