en.Wedoany.com Reported - Data management company Denodo officially announced multiple new product integrations with Amazon Web Services on May 18 in Palo Alto, California, helping enterprises build and deploy Agentic AI at scale in hybrid and multi-cloud environments, serving sectors including financial services, healthcare and life sciences, manufacturing, retail, and the public sector.
As enterprises move AI from the experimentation phase to production deployment driven by business outcomes, a common problem is becoming increasingly prominent: AI agents struggle to deliver reliable results if they lack real-time perception, operate on incomplete or erroneous data, or operate outside governance and compliance boundaries. Denodo's assessment is that these are not limitations of the models themselves, but challenges at the data level. The integration solutions announced this time, by connecting to AWS data and AI services such as Amazon SageMaker, Amazon Bedrock AgentCore, and Amazon Quick, extend access capabilities to operational and analytical data across on-premises, SaaS, and multi-cloud environments, building a logical data foundation that provides AI agents with real-time, governed, and business-contextualized data.
The first main thrust of the integration solutions revolves around secure data access for AI agents. Leveraging Amazon Bedrock AgentCore, Denodo combines real-time governed data access with centralized control: first defining the scope of data accessible within the enterprise, enriching data with business context in the Denodo semantic layer, and then, through Denodo's support for the Model Context Protocol (MCP), ensuring data is securely accessed by AI agents under established governance policies. Amazon Bedrock AgentCore simultaneously handles authentication, routes requests, and enforces access controls, managing how AI agents interact with data, enabling agents to operate within business rules while delivering reliable, high-quality outcomes at scale.
The second main thrust targets semantic unification across hybrid and multi-cloud systems. With over 200 native connectors for enterprise systems like SAP, Oracle, and Salesforce, Denodo enables real-time, zero-copy data access across on-premises, multi-cloud, and sovereign environments. This time, Denodo has integrated with Amazon SageMaker Catalog, enabling it to directly add business metadata and context to the data consumed by AI agents, utilizing the definitions, classifications, and governance context already established in SageMaker to ensure data across AWS services and non-AWS environments is consistently understood and aligned with business meaning, giving AI agents the semantic context needed to interpret data correctly.
The third main thrust focuses on rapidly turning insights into action. Denodo combines Quick with its platform's real-time, zero-copy access to enterprise data, enabling business users to create AI-driven workflows, conversational experiences, and automated processes based on the most current and complete information in distributed environments, eliminating delays caused by data migration and shortening the time-to-market for autonomous workflows.
Denodo Executive Vice President Suresh Chandrasekaran stated: "Agentic AI requires not just powerful models, but also trusted, real-time, and well-governed data." This assessment is supported by a set of industry data—research previously cited by Denodo shows that Agentic AI spending is expected to exceed $1.3 trillion by 2029, yet currently 95% of AI pilot projects fail to produce measurable return on investment, with the root cause being that traditional data architectures cannot meet the rigid demands of autonomous agents for real-time performance, governance, and consistent semantics. Only 20% of data leaders are confident in their existing systems' ability to support AI production workloads.
Headquartered in Palo Alto, California, Denodo's core product, the Denodo Platform, has achieved unified access across structured, semi-structured, and unstructured data through its logical data management capabilities. The platform embeds MCP support, making governed data access an enterprise-level shared service, where any MCP-compatible AI agent or client can securely discover and query real-time enterprise data based on approved semantics and policies. The Denodo Platform is available on the AWS Marketplace's AI Agents and Tools category in two forms: Amazon Machine Image and the fully managed Agora cloud service. The previously released Denodo Platform 9.4 introduced the Lakehouse Accelerator, which boosts query performance up to 4 times the original level based on the open-source Velox execution engine.
These multiple integrations with AWS signify that Denodo is systematically extending its logical data management capabilities from traditional analytics and business intelligence scenarios into the emerging field of Agentic AI. In a trend where AI agents are required to autonomously complete complex tasks, invoke tools across systems, and make business decisions, the data layer's ability to provide real-time, trusted, and semantically consistent support is upgrading from an "additional capability" to a "prerequisite."
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