How Rackspace Is Running Palantir & Uniphore in Production for Enterprises | Joe Vito

Most enterprise AI projects never make it past the pilot stage. The real blockers aren't the models — they're fragmented data, regulatory landmines, and infrastructure that wasn't designed for AI workloads at scale.

In this exclusive interview with Swapnil Bhartiya at TFiR, Joe Vito, SVP of Strategic Alliance Partnerships at Rackspace Technology, explains how the company is closing the gap between AI ambition and AI outcomes — by operationalizing a governed, private cloud AI ecosystem built on partnerships with Palantir and Uniphore, and embedding forward-deployed engineers directly into enterprise environments.

Key Topics Covered:
Why enterprises fail to move from AI pilots to production, and the three-layer blocker model (data aggregation, ecosystem setup, operational cost)
The Rackspace FDE Pod Model: how forward-deployed engineers with mixed skillsets — AI architects, data engineers, and platform operators — accelerate agent deployment
Private cloud AI infrastructure built on VMware Cloud Foundation (VCF) and why it outpaces hyperscaler modernization for speed and cost predictability
Rackspace's strategic partnerships with Palantir (Foundry and AIP in production), Uniphore (Business AI Cloud, Infrastructure-to-Agents architecture), and Dell for chip and hardware supply chain
GPU vs. CPU workload decisions, sovereign cloud requirements for healthcare and financial services, and the emerging AI operating model where agents function as technological employees

Read the full story & transcript at www.tfir.io

#RackspaceTechnology #EnterpriseAI #PrivateCloud #Palantir #Uniphore #AIInfrastructure #ForwardDeployedEngineers #SovereignCloud #VMwareCloudFoundation #AIAgents #CloudModernization #ManagedServices #GenerativeAI #TFIR #AIStrategy

Видео How Rackspace Is Running Palantir & Uniphore in Production for Enterprises | Joe Vito канала TFiR