Episode 2: The Build
The blueprint is no longer a sketch.
The AI Pod is built.
See what happens when AI moves beyond the drawing board, as our teams tackle the technology, security, data and collaboration challenges of building enterprise AI for real.
Watch episode 2 now
The Build
In Episode 1 of The Road to AI, we set out an ambitious goal: to build an enterprise-ready AI platform that gives organisations greater control over their data, infrastructure and AI workloads. The blueprint was in place, the technology had been chosen and the vision was clear.
Now it’s time to turn that vision into reality.
In the next phase of the project, the focus shifts to the build. Our teams are bringing together compute, networking, storage, data and security to create a working AI environment, while developing real-world use cases that demonstrate what the technology can actually deliver.
From simplifying access to HR information to creating a more intelligent view of customer data, this phase is about moving beyond the theory of enterprise AI and putting it to work. Along the way, we’re also discovering something important: successful AI transformation is about more than technology. It requires teams, skills and data to come together in new ways.
From AI potential to practical use cases
AI for HR: Bringing employee data into one secure assistant
See AI for HR in action. This demo shows how employee data from multiple systems can be brought together through one secure AI assistant, making it easier to find information on policies, training, certifications and more.
Discover how security, governance and role-based access help organisations unlock the benefits of enterprise AI while keeping sensitive data protected and under control.
AI for CX: Bringing customer data into one intelligent view
What if account managers could get a complete view of their customers without switching between multiple tools and dashboards?
See how AI can bring structured and unstructured customer data from multiple sources into one intelligent interface, giving teams faster, simpler access to the insights they need.
Inside the AI pod
What does it actually take to run enterprise AI?
Take a look inside an AI pod and explore the infrastructure behind modern AI applications, from NVIDIA GPU-powered compute and high-speed Cisco networking to all-flash storage and security.
Customer insights and Cisco AI Defence
Building an AI platform is one thing. Making sure you can trust and secure what runs on it is another.
In this video, the Logicalis team explores how Cisco AI Defence is being integrated into the AI Pod to protect AI models and workloads, identify emerging risks and establish the right guardrails. It’s a critical step towards enabling the business to embrace AI safely and with confidence.
Missed Episode 1?
Go back to the beginning and see how we set out to turn our enterprise AI ambition into reality.
Featured in the documentary
Rony Mikhael, CTO, Logicalis Germany
Ulrich Vierkoetter, Team Lead Datacenter Networking, Logicalis Germany
Arun Wadhawan, Senior Manager, Security, Logicalis Germany
Alexander Spirin, Solution Architect, Logicalis Germany
Michael Carstens, CSO, Logicalis Germany
Ben Walker, Marketing Director, Logicalis Group
Ben Sellwood, CMO, Logicalis Germany
Dirk Franke, Director Data & AI, Logicalis Germany
Onur Ozturk, Solution Architect, Logicalis Germany
Markus Hahn, COO, Logicalis Germany
Antonio Lodico, Marketing Director, Logicalis Germany
Alexander Frizsche, Security, Logicalis Germany
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When the blueprint meets reality
In Episode 2 of Road to AI, we follow the Logicalis team as the technology comes together, real-world challenges emerge, and attention turns to the use cases that will put the platform to the test.
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What really happens when you start building enterprise AI?
We sit down with the engineers behind the AI Pod to talk about what’s working, what isn’t, and the unexpected challenges they’re discovering as they turn an AI blueprint into reality.
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