Beyond the hype: Realizing true value with enterprise AI

[JoannStarke]

Learn about efficient AI pipelines and simplified ML deployment with HPE Private Cloud AI and HPE AI Essentials. Watch our new demos and register for our April 30 live event.

Industry analysts are clear on this.  AI, and especially generative AI (GenAI), aren’t just cool toys we’re tinkering with anymore but must have tools that will move our businesses forward. Jumping from half to almost two-thirds of enterprises using AI/GenAI in just one year isn’t fast, it’s warp speed! [1]

But here’s the thing. We all know that just having the latest technology in a lab isn’t the magic bullet. The real game changer comes when we use GenAI’s brainpower to get some serious value from it.

Once that happens, things get interesting. As we shift from playing around with AI to making it a core part of how we operate, we quickly realize we need the right kind of bedrock to keep up with AI’s lightning-fast innovation.

So, you're diving into AI/GenAI, huh? Well, the base you build on matters. It's not just about picking a cloud or grabbing a reference design off the shelf. It's like having a finely tuned engine — high-octane hardware, seamless networking, intuitive software, and the right services — all working in harmony to supercharge your AI progress.

Think of HPE Private Cloud AI as that complete, integrated engine. It brings together the serious horsepower you need from compute, storage that can keep pace, and high-speed networking that simply works. Plus, it comes with a built-in software stack that makes life easier for data science practitioners allowing them to build data pipelines, workflows, and models quickly and place them into real-world production without a ton of headaches. 

The intersection of efficient data pipelines and sophisticated AI modeling is where true innovation happens. Navigating data pipelines and deploying effective AI models can be complex. That’s why we have released two new technical demos to demystify these processes. We walk through practical examples of building streamlined data pipelines and implementing powerful AI modeling techniques to solve real-world problems.

How to deploy ML models in the enterprise
Can deploying ML models really be this easy?
Let's face it, if you're an ML engineer or data scientist, your world is a whirlwind of new models, new data, and new ways of tackling problems. This demo dives into how HPE AI Essentials Software, right there inside HPE Private Cloud AI, gives you the seriously robust tools and services you need to not just keep up with all that change, but get your AI innovations from idea to production — fast.

Simplify data pipelines for enterprise
Simplify data pipelines: HPE AI essentials demo for data teams
Dealing with infrastructure and a mix of data formats can be a real bottleneck. In this demo, we'll show you a better way: building efficient pipelines with Apache Airflow for smooth orchestration, leveraging Spark's parallel muscle, and using Spark History Server to effortlessly monitor, debug, and get a clear picture of your Spark applications.

These demos just scratch the surface of what HPE Private Cloud AI can do! Ready to see the full end-to-end power? You're in luck! Join our live technical demo on April 30th to get the complete picture. Here are the details:

HPE Private Cloud AI Technical Demo: April 30, 2025 - 5 PM CET / 8 AM PT / 11 AM ET

Get ready for a deep dive into the HPE Private Cloud AI platform, with tailored walkthroughs designed specifically for administrators (think easy user and GPU management!), data engineers, and data scientists. Don't miss out!

The takeaway? AI is dynamic, but most enterprises are still in the early stages. Ready to move beyond the hype and start innovating? HPE Private Cloud AI is your answer. Watch the demos to get started or join our live demo on April 30th to see the full power of a comprehensive AI solution in action.

Joann Starke
Hewlett Packard Enterprise

x.com/hpe_ai
linkedin.com/showcase/hpe-ai
hpe.com/software

[1] Quantum Black, AI by McKinsey “The state of AI, how enterprises are rewiring to capture value,” March 2025.