Transforming the data path: Dell’s new releases move enterprises closer to the agentic data center
AI is taking shape, moving from models that answer questions to models that can reason. Now models are powering the agentic era, and Dell Technologies Inc. has announced several extensions to its AI Data Platform designed to manage this new paradigm. These include extending the Dell Data Orchestration Engine with three new capabilities: the Unified […] The post Transforming the data path: Dell’s…
Dell Technologies Inc. has unveiled several enhancements to its AI Data Platform to manage the evolving landscape of AI models and data processing. These updates include the Unified Semantic Layer, Enterprise Knowledge Graph, and Knowledge Agents, all designed to streamline the data path from raw enterprise information to AI-ready context.
Arthur Lewis, president of the Infrastructure Solutions Group at Dell, emphasized that data, not models, is often the key constraint in AI applications. The company's new capabilities aim to reduce unnecessary data movement, improve data efficiency, and accelerate enterprise data preparation for AI using graphics processing units and Nvidia's cuDF library.
Dell's storage engines, such as PowerScale, ObjectScale, and Lightning File System, are being integrated to cater to various performance, capacity, and workload requirements. The Unified Semantic Layer offers an enterprise-wide knowledge graph that provides consistent business meaning, regardless of data format, while the Enterprise Knowledge Graph connects entities and relationships to help applications and agents understand data context.
The Knowledge Agent is a new feature that augments the AI Data Platform with expert assistance, enabling users to develop specialized agents for specific topics. Dell's AI Data Platform serves as the connective layer between enterprise data and production AI, combining storage, data processing, orchestration, search, governance, and GPU acceleration to deliver an efficient and harmonized data foundation for AI applications.
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