OpenText adds AI Data Platform to unify secure enterprise data
OpenText has introduced the OpenText AI Data Platform (AIDP), aiming to merge data management and artificial intelligence to deliver secure and scalable solutions for enterprise customers.
AI and data convergence
Organisations are accumulating increasing volumes of proprietary data, presenting challenges around security, governance and activation of information. OpenText is focusing its technology roadmap on ensuring businesses can structure their data to generate more accurate AI outputs for critical operations.
McKinsey's annual State of AI study has reported that over half of organisations using AI have experienced at least one issue related to negative impacts or inaccuracies. This trend highlights the need for robust information handling processes in enterprises deploying AI tools.
Contextual intelligence
OpenText's AI strategy builds on decades of experience managing large volumes of data for business clients. According to the company, for AI agents to deliver fully effective results, they must operate within the right context-including knowledge of the specific situation and environment in which they are applied.
In practice, OpenText business applications support the management of extensive data types, including documents, transactional records, IT tickets and security logs. Data management extends to human and machine-generated content, both within and between organisations. The company underlines the importance of metadata tagging, which supports data lineage, rights, and retention policies, all supported by data security and identity management tools.
Platform integration
The OpenText Aviator AI tools are built to work on top of context-rich data. The Aviator platform adheres to three primary principles: multi-cloud deployment (supporting on-premises, cloud, and hybrid environments), compatibility with a variety of AI models (including large language models and smaller specialised models), and integration with major enterprise platforms such as ERP and CRM tools.
The architecture allows enterprises to adapt AI systems to their unique operational, compliance, and industry requirements. OpenText is also working with strategic partners including SAP, Microsoft, Google, Salesforce and Oracle to support deep integration and coordinated enterprise AI deployments.
New partnership
OpenText has expanded its partnership with Databricks, building on existing work between the two organisations. The latest collaboration focuses on integrating technical capabilities and data sharing features, aiming to strengthen the platform's ability to unify, govern, and analyse enterprise information.
"With the OpenText AI Data Platform, we are building a truly open architecture enabled by APIs so the choice of where the data resides always sits with our customers. AI agents must be built on specific data sets to be relevant and accurate," said Savinay Berry, CPO & CTO at OpenText.
Roadmap and services
OpenText has also outlined an 18-month plan for new product releases across its portfolio, including tools for knowledge discovery, compliance, and AI readiness assessments. The company will provide a no-code platform for building and governing AI agents, solutions for metadata tagging and real-time data connection, and a suite of compliance and privacy features such as data redaction, tokenisation and threat detection.
The OpenText Aviator entry package will be included at no extra charge with upgrades to the company's Content Management, Service Management, and Communications Management products. Deployments will also support on-premises customers starting with the OT 26.1 release.
Customer-specific integrations
OpenText stated that it continues to work with clients across sectors such as automotive, banking, oil and gas, and pharmaceuticals to meet requirements for data sovereignty and enable secure, domain-specific knowledge use in AI applications.
"Whether in automotive, banking, oil and gas, or pharmaceuticals, our platform will enable integrations at multiple layers with strategic partners to enable agents to leverage domain-specific knowledge securely," said Berry.
