Dell to spotlight AI data infrastructure and cyber resilience at two theCUBE-covered events

At the New York Symposium, Dell executives and industry experts will join theCUBE Research analysts to discuss agentic AI, AI-powered PCs and modernized infrastructure in the financial sector. The central problem, according to Dell, is that financial institutions have abundant customer data but often cannot turn it into something useful because CRM logs, channel interactions, transaction streams and market signals remain siloed. Dell’s AI Data Platform is intended to connect and unify that data, understand context and act in real time within the Dell AI Factory.

“In many cases, the model is not the next constraint, the data is,” said Arthur Lewis, president of Dell’s Infrastructure Solutions Group. “That is the problem that the AI Data Platform was built to solve. Within the Dell AI Factory, it is the data foundation that curates, connects and serves enterprise data to fuel the AI, and especially agentic AI.”

Dell’s AI Data Platform provides a four-engine architecture with a storage layer designed to modernize data infrastructure for financial institutions. A Data Orchestration Engine uses machine learning models and normalizes product documentation while orchestrating retrieval requests and assembling information for intelligence reports. A Data Processing Engine based on Apache Spark handles feature engineering, customer segmentation and training for affinity scoring. The Data Search Engine, powered by Elasticsearch, provides grounded retrieval through vector and keyword searches across product knowledge bases. The Data Analytics Engine exposes the Iceberg lakehouse as a governed SQL query surface that agents can call directly. Dell says any MCP-compatible agent framework can discover available data products and execute governed queries without building a custom adapter.

Dell is also pitching a Unified Semantic Layer to make structured and unstructured enterprise data accessible to AI agents while preserving the business context needed for reliable responses. Vrashank Jain, lead product manager for the AI Data Platform at Dell, said the semantic layer gives information consistent business meaning across sources. “The semantic layer gives structured and unstructured information consistent business meaning, so a term means the same thing everywhere it appears,” Jain said. “It uses open models to fix the hardest part of building semantic layers: generating entities, definitions and finding meaning at-scale with human-in-the-loop for verification.”

The cyber resilience event will be broadcast Oct. 27–28 on theCUBE, with a Dell-led day-one flagship program titled “From AI to Quantum: A New Era of Cyber Resilience” airing Oct. 27. Rob Emsley, director of cyber resilience marketing at Dell, is scheduled as a guest. “We train our sellers and our partners about three keywords when it comes to cyber resilience: secure, detect and recover,” Emsley said. “Secure is about reducing the attack surface. Detect is about detecting and responding to threats. [Recovery] from cyberattacks, at the end of the day, is what the customers expect when they need it.” The broadcast will also reach North America, EMEA and APJ audiences Oct. 28–29. theCUBE Research analysts Dave Vellante, Krista Case, Christophe Bertrand and Scott Hebner will examine how Dell and its partners are rethinking architecture, policy and operating models to make AI more reliable in real-world conditions.

Earlier this year, Dell announced moves to connect its AI Data Platform, PowerProtect portfolio, CyberSense capabilities and automation stack into a more unified architecture. The emphasis was on data access, AI-ready data pipelines, cyber resilience and policy-aware AI operations for enterprise-scale environments. Krista Case of theCUBE Research said the announcements show cyber resilience and AI infrastructure platforms are expanding beyond backup and recovery into metadata visibility, recovery validation and contextual understanding of enterprise data. She said organizations should pay close attention to how vendors establish governance and validation for AI environments.

The expansion reflects how agentic AI is changing protection needs. As agents become more capable of accelerating cyberattacks, Dell argues enterprises must adopt defensive strategies more rapidly. Simon Jelley, vice president of product management at Dell, said the threat is evolving faster with agents, making a secure, isolated and immutable layer necessary. “Governance is necessary, but governance, as unfortunately we know, is never 100% guaranteed,” Jelley said. Dell has been using Claude Mythos Preview and other frontier AI models to find and fix product vulnerabilities, and Jelley said randomized test scenarios can uncover hidden architectural weaknesses. “The reality is you need it to be randomized, and again, that’s where you’re leveraging those on demand environments to be able to spin up quickly — randomize the test set,” he said. “AI is going to actually be a contributor to helping there, in terms of randomizing the vulnerability. It’s definitely both a risk and a tool in terms of how we help our customers.”

Christophe Bertrand of theCUBE Research said cyber resiliency risk is appearing not only in data but in AI infrastructure itself. “Security or cyber exposures … this is what people are saying is, on top of cost, their first operational challenge when it comes to implementing AI,” Bertrand said. “There is no AI without a secure infrastructure, and that means data that is also recoverable, that it is secure and is of course compliant.”

theCUBE is a paid media partner for Dell’s New York Symposium. Neither Dell nor other sponsors have editorial control over content on theCUBE or SiliconANGLE, according to the disclosure.