Enterprise artificial intelligence can’t thrive on yesterday’s infrastructure. From real-time analytics to autonomous agents, the demands of modern intelligence require an AI-ready architecture that’s open, federated and flexible by design, not bolted together after the fact.

At the heart of that evolution lies a layered approach to architecture, where storage, transformation, governance and semantics operate in sync, according to theCUBE Research’s Rob Strechay.

“Today’s enterprise doesn’t run on a single stack,” Strechay said. “It thrives on an integrated, multivendor foundation designed to optimize ROI and [total cost of ownership] while giving you speed, flexibility and trust.”

Those dynamics will take center stage on August 22 during the Future of Data Platforms Summit, an exclusive broadcast from theCUBE, SiliconANGLE Media’s livestreaming studio. The event will spotlight how data platform leaders from Dell Technologies Inc., Hewlett-Packard Enterprise Company, Hammerspace Inc. and others are driving innovation across open architectures, composable services and AI-ready insights. (* Disclosure below.)

Here’s what to expect from theCUBE’s coverage of the Future of Data Platforms Summit:

Open standards and semantics fuel AI-ready architecture

As enterprise AI stacks evolve, open standards and semantic context are fast becoming the non-negotiables. In a recent article from theCUBE Research, Strechay describes how Apache Iceberg is gaining traction as a vendor-neutral table format that enables data interoperability and minimizes replication across hybrid and multicloud environments.

“We see that distributed data can be more efficiently leveraged and helps enterprises build AI-ready data architectures without massive replatforming,” Strechay said. “What is clear is that there will not be a single data platform from one vendor to rule them all. There are just too many use cases and data silos.”

Today’s AI-native enterprises depend on more than just open standards, which need layered architectures that function as a unified whole. From high-performance storage formats to metadata-rich semantic layers — and orchestration tools that keep data logically unified across systems — each tier plays a distinct role in delivering scalable, governed and AI-ready architecture, according to Strechay.

“It’s not just a big bucket where you park information,” he noted. “A true data platform creates a unified environment where data flows seamlessly from ingestion and transformation through governance and analytics, all the way to operational use, such as AI.”

Ahead of the Summit, organizations such as Dell and HPE have showcased how they’re aligning with these architectural trends. Their strategies reflect a growing emphasis on open, composable platforms that can support real-world AI workloads at scale.

Dell’s updates to its PowerScale and ObjectScale storage systems reflect this industry shift toward AI-ready infrastructure. Designed to handle large-scale inferencing workloads and reduce data movement delays, Dell’s architecture emphasizes low-latency performance and resilience across hybrid environments. These capabilities echo the layered approach Strechay outlines, with orchestration, storage and semantic clarity working together to support AI-ready architecture at scale.

HPE’s contributions center on federated storage and composable architecture that supports full-stack AI infrastructure. Its Alletra Storage introduces AI-native pipelines, real-time metadata enrichment and integration with orchestration layers. By combining unstructured data with semantic context and agentic control planes, HPE aims to feed AI systems with reasoning-ready input at scale.

“These layers aren’t just boxes on a slide,” Strechay said. “Together, they’re an architecture that powers modern AI-driven businesses.”

TheCUBE event livestream

Don’t miss theCUBE’s coverage of the Future of Data Platforms Summit on August 22. Plus, you can watch theCUBE’s event coverage on-demand after the live event.

How to watch theCUBE interviews

We offer you various ways to watch theCUBE’s coverage of the Future of Data Platforms Summit, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.

TheCUBE Insights podcast

SiliconANGLE also has podcasts available of archived interview sessions, available on iTunes, Stitcher and Spotify, which you can enjoy while on the go.

SiliconANGLE also has analyst deep dives in our Breaking Analysis podcast, available on iTunes, Stitcher and Spotify.

Guests

During the Future of Data Platforms Summit, theCUBE will feature conversations with executives and analysts who are rethinking how data platforms serve real-world enterprise demands. Special guests include experts from Dell, HPE and Hammerspace, among others.

(* Disclosure: TheCUBE is a paid media partner for the Future of Data Platforms Summit. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Image: SiliconANGLE