Latest news with #DeepQuery
TECHx
10 hours ago
- Business
- TECHx
Denodo Announces DeepQuery for GenAI Research Use
Home » Emerging technologies » Artificial Intelligence » Denodo Announces DeepQuery for GenAI Research Use Denodo has announced the private preview availability of Denodo DeepQuery, a new deep research capability designed to extend the potential of generative AI (GenAI). The company also revealed support for the Model Context Protocol (MCP) in the latest version of its AI SDK. According to Denodo, DeepQuery moves beyond fact retrieval and enables GenAI to investigate, synthesize, and explain its reasoning. It has been developed to address complex, open-ended business questions by leveraging live, governed enterprise data from various systems, departments, and formats. Unlike traditional GenAI tools that rephrase existing content, Denodo DeepQuery is built to analyze complex queries. It searches across multiple systems and sources to deliver structured, explainable responses based on real-time information. The solution also integrates external sources, including publicly available data, trading partner data, and external applications, to enrich internal data. Denodo reported that DeepQuery will enable users to ask business-critical questions, such as: 'Why did fund outflows spike last quarter?' 'What's driving changes in customer retention across regions?' The tool is designed to reduce the time analysts spend compiling reports or data exports. Instead, DeepQuery connects to governed data across systems and applies advanced reasoning to deliver insights within minutes. Denodo stated that DeepQuery will be packaged with the Denodo AI SDK. The SDK includes pre-built APIs to support AI application development. Developers and AI teams can build, test, and integrate deep research functions into their own agents, copilots, or domain-specific applications. The company also announced that DeepQuery is available through Denodo's AI Accelerator Program. Selected organizations will receive early access and an opportunity to provide feedback to help shape the future of the product. Denodo further revealed support for Model Context Protocol (MCP). The latest Denodo AI SDK includes an MCP Server implementation. This allows AI agents and apps built on the SDK to integrate with any MCP-compliant client. The integration supports a trusted data foundation for agentic AI ecosystems that rely on open standards. Denodo's CEO and Founder, Angel Viña, stated that DeepQuery enables GenAI to connect with governed, real-time data across distributed systems. He emphasized that this approach allows AI to reason, explain, and act with better context. Industry analysts also weighed in. Stewart Bond, Research VP at IDC, commented that DeepQuery supports explainable AI through deep research advancements. Andrew Brust of GigaOm noted that DeepQuery enables AI to shift from basic retrieval to more complex reasoning with real-time governed data. Nagaraj Sastry, Senior VP at Encora, added that Denodo DeepQuery allows clients to move from general AI queries to intelligent analysis. He stated that this helps accelerate decision-making and AI adoption. Denodo stated that DeepQuery is still in private preview. It will be generally available soon. The company invited interested organizations to participate in the AI Accelerator Program.
Zawya
13 hours ago
- Business
- Zawya
Denodo announces plans to further support AI innovation by releasing Denodo DeepQuery, a deep research capability
Like Deep Research for the Enterprise, Denodo DeepQuery will Enable Citizen Analysts to Answer Complex, Multi-step 'Why' Questions in Minutes Dubai, UAE – Denodo, a leader in data management, announced the availability of the Denodo DeepQuery capability, now as a private preview, and generally available soon, enabling generative AI (GenAI) to go beyond retrieving facts to investigating, synthesizing, and explaining its reasoning. Denodo also announced the availability of Model Context Protocol (MCP) support as part of the Denodo AI SDK. Built to address complex, open-ended business questions, DeepQuery will leverage live access to a wide spectrum of governed enterprise data across systems, departments, and formats. Unlike traditional GenAI solutions, which rephrase existing content, DeepQuery, a deep research capability, will analyze complex, open questions and search across multiple systems and sources to deliver well-structured, explainable answers rooted in real-time information. To help users operate this new capability to better understand complex current events and situations, DeepQuery will also leverage external data sources to extend and enrich enterprise data with publicly available data, external applications, and data from trading partners. DeepQuery, beyond what's possible using traditional generative AI (GenAI) chat or retrieval augmented generation (RAG), will enable users to ask complex, cross-functional questions that would typically take analysts days to answer—questions like, 'Why did fund outflows spike last quarter?' or 'What's driving changes in customer retention across regions?' Rather than piecing together reports and data exports, DeepQuery will connect to live, governed data across different systems, apply expert-level reasoning, and deliver answers in minutes. Slated to be packaged with the Denodo AI SDK, which streamlines AI application development with pre-built APIs, DeepQuery is being developed as a fully extensible component of the Denodo Platform, enabling developers and AI teams to build, experiment with, and integrate deep research capabilities into their own agents, copilots, or domain-specific applications. 'With DeepQuery, Denodo is demonstrating forward-thinking in advancing the capabilities of AI,' said Stewart Bond, Research VP, Data Intelligence and Integration Software at IDC. 'DeepQuery, driven by deep research advances, will deliver more accurate AI responses that will also be fully explainable.' Large language models (LLMs), business intelligence tools, and other applications are beginning to offer deep research capabilities based on public Web data; pre-indexed, data-lakehouse-specific data; or document-based retrieval, but only Denodo is developing deep research capabilities, in the form of DeepQuery, that are grounded in enterprise data across all systems, data that is delivered in real-time, structured, and governed. These capabilities are enabled by the Denodo Platform's logical approach to data management, supported by a strong data virtualization foundation. Denodo DeepQuery is currently available in a private preview mode. Denodo is inviting select organizations to join its AI Accelerator Program, which offers early access to DeepQuery capabilities, as well as the opportunity to collaborate with our product team to shape the future of enterprise GenAI. 'As a Denodo partner, we're always looking for ways to provide our clients with a competitive edge,' said Nagaraj Sastry, Senior Vice President, Data and Analytics at Encora. 'Denodo DeepQuery gives us exactly that. Its ability to leverage real-time, governed enterprise data for deep, contextualized insights sets it apart. This means we can help our customers move beyond general AI queries to truly intelligent analysis, empowering them to make faster, more informed decisions and accelerating their AI journey." Denodo also announced support of Model Context Protocol (MCP), and an MCP Server implementation is now included in the latest version of the Denodo AI SDK. As a result, all AI agents and apps based on the Denodo AI SDK can be integrated with any MCP-compliant client, providing customers with a trusted data foundation for their agentic AI ecosystems based on open standards. 'AI's true potential in the enterprise lies not just in generating responses, but in understanding the full context behind them,' said Angel Viña, CEO and Founder of Denodo. 'With DeepQuery, we're unlocking that potential by combining generative AI with real-time, governed access to the entire corporate data ecosystem, no matter where that data resides. Unlike siloed solutions tied to a single store, DeepQuery leverages enriched, unified semantics across distributed sources, allowing AI to reason, explain, and act on data with unprecedented depth and accuracy.' 'Denodo DeepQuery will enable enterprises to leverage GenAI not just for retrieval, but also for deep analysis and reasoning," said Andrew Brust, Founder/CEO at Blue Badge Insights and lead analyst for data, analytics, and AI at GigaOm. "Denodo will support these new capabilities with governed, real-time data, for added trust. DeepQuery is a sign of where enterprise AI is headed.' About Denodo Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone.
Techday NZ
a day ago
- Business
- Techday NZ
Denodo unveils DeepQuery for real-time data research
Denodo has launched DeepQuery, a Deep Research capability aimed at addressing the limitations of conventional generative AI tools in data analysis. DeepQuery explained DeepQuery operates differently from retrieval-augmented generation approaches, which typically focus on rephrasing indexed content. This new capability conducts structured reasoning across live and governed data sources, enabling users to investigate distributed datasets and pose complex "why" questions, such as analysing the causes of changes in customer retention across various regions. With DeepQuery, users receive multi-step analytical answers within seconds, a process that would previously require a significant amount of manual analysis and cross-referencing across multiple data sets. Addressing business needs DeepQuery is built to handle open-ended business questions by leveraging real-time access to enterprise data from a range of formats and departmental systems. In contrast to traditional generative AI solutions—which tend to rephrase pre-existing content—DeepQuery analyses open questions and searches multiple systems and sources to provide structured, explainable answers rooted in current information. The capability will also be able to incorporate external data sources—such as publicly available information, applications outside the organisation, and data from trading partners—to complement and enhance the information already held within a business. This functionality enables users to interrogate complex, cross-functional queries that would previously take days for analysts to resolve, such as understanding the underlying reasons for quarterly changes in fund outflows. Rather than manually gathering data or generating multiple reports, DeepQuery provides connections to governed data in real time and applies reasoning capabilities to respond swiftly to intricate questions. Integration and development DeepQuery is being developed as a fully extensible component of the Denodo Platform and will be distributed as part of the Denodo AI SDK. The SDK offers pre-built APIs intended to streamline AI application development. This integration aims to allow developers and AI teams to use, experiment with, and incorporate the DeepQuery capability into various agents, copilots, or domain-specific solutions. "With DeepQuery, Denodo is demonstrating forward-thinking in advancing the capabilities of AI. DeepQuery, driven by deep research advances, will deliver more accurate AI responses that will also be fully explainable." This is according to Stewart Bond, Research VP, Data Intelligence and Integration Software at IDC, who spoke on the platform's potential impact compared to other solutions currently available. While large language models, business intelligence tools, and other applications are starting to introduce deep research capabilities utilising public web data or data-lakehouse storage, Denodo's solution is anchored in enterprise data. Data delivered and managed by DeepQuery is structured, governed, and available in real-time, made possible by the logical data management inherent to the Denodo Platform and its data virtualisation framework. The private preview phase of Denodo DeepQuery is currently underway, with Denodo inviting selected organisations to participate in its AI Accelerator Programme. Participants receive early access to DeepQuery's features and have the opportunity to provide input that will help shape its future development. "As a Denodo partner, we're always looking for ways to provide our clients with a competitive edge. Denodo DeepQuery gives us exactly that. Its ability to leverage real-time, governed enterprise data for deep, contextualised insights sets it apart. This means we can help our customers move beyond general AI queries to truly intelligent analysis, empowering them to make faster, more informed decisions and accelerating their AI journey," said Nagaraj Sastry, Senior Vice President, Data and Analytics at Encora. Model Context Protocol support Denodo also announced support for the Model Context Protocol (MCP). With the inclusion of an MCP Server in the latest version of the Denodo AI SDK, any AI agents or applications utilising the SDK can be integrated with MCP-compliant clients. This aims to establish a reliable and standardised data foundation for organisations adopting agentic AI architectures based on open standards. "AI's true potential in the enterprise lies not just in generating responses, but in understanding the full context behind them. With DeepQuery, we're unlocking that potential by combining generative AI with real-time, governed access to the entire corporate data ecosystem, no matter where that data resides. Unlike siloed solutions tied to a single store, DeepQuery leverages enriched, unified semantics across distributed sources, allowing AI to reason, explain, and act on data with unprecedented depth and accuracy," said Angel Viña, CEO and Founder of Denodo.
