Rackspace Technology

Financial services software providers have an opportunity to deliver more value across the customer journey as AI moves from individual features into connected workflows. In banking, that could mean connecting areas like origination, servicing and identity to automate more of the customer journey and make better use of data. Rackspace Technology brings together governed AI infrastructure, private cloud and financial services expertise to help software providers build, deploy and operate AI solutions designed for regulated environments. See how the right AI foundation can help turn new capabilities into meaningful customer outcomes: https://lnkd.in/ecjShtkM

As AI adoption continues to grow, organizations are evaluating how to balance innovation with governance, resilience and control. For some, that means exploring environments that provide greater flexibility over where data resides, how it is managed and the level of oversight required to meet business and regulatory objectives. As financial services organizations continue advancing their AI strategies, what will make the difference? During the Banking Transformation Summit Series in London, Rackspace CTO Simon Bennett shared his perspective on giving organizations the flexibility to align AI and data strategies with their unique business and regulatory requirements. Explore more insights on AI in financial services: https://lnkd.in/evjqMDyr

The conversation around AI often focuses on models. Production AI requires much more: infrastructure, governance, platforms, applications and the expertise to operate them together. Operationalizing those capabilities across the enterprise is where complexity often emerges. That's why we think it's important to look beyond models and understand the full stack that supports AI in production. Swipe through to see the layers that power enterprise AI, and how they support the journey from strategy to production. Learn more: https://lnkd.in/geUB2Dru.

Data residency is only one aspect of AI sovereignty. As AI moves into regulated and mission-critical environments, you need control across the systems that access data, process information, generate outputs and operate over time. In our new blog post, Rackspace Senior Manager of AI Amine El Badaoui and CTO Simon Bennett explain why sovereign AI requires control across the full AI lifecycle and how private cloud can provide the operating foundation for regulated AI workloads. Read the blog: https://lnkd.in/eeaeRpig

As AI initiatives expand across the enterprise, infrastructure plays a critical role in maintaining performance, scalability, and operational efficiency. Organizations need environments that can support large-scale training, high-performance inferencing, and evolving AI workloads without adding unnecessary complexity. With Rackspace Technology AI Business, teams can accelerate AI operations on secure private cloud infrastructure designed for enterprise scale. https://lnkd.in/gbwi97KD

AI investment is accelerating, but cost predictability is becoming the harder problem. In this webinar with Ternary, Gerry Le Canu discusses the new pressures leaders are feeling as AI spend scales across the business. Organizations need to quickly move from reactive cost tracking toward more strategic financial governance models that connect engineering activity to business value. Check out the full webinar to get a sense of what fiscally responsible AI looks like as organizations move deeper into production. https://lnkd.in/eByJWq_b

There’s no one-size-fits-all path for VMware. Some applications stay as-is for years. Others are preparing for modernization. The challenge for IT leaders is knowing how to optimize each workload while keeping long-term outcomes in sight. Our VMware Optimization Discovery & Consultation helps you assess where you are today, compare it to industry maturity and chart the right path forward without unnecessary risk or disruption. 🧭 Navigate smarter. Accelerate with purpose. 👉 Book your assessment today: https://bit.ly/4osTrWJ

Keeping critical banking services available while modernizing more than 1,200 workloads is no small task. That's exactly what Metro Bank achieved by partnering with Rackspace Technology, completing the migration 12% ahead of schedule while maintaining uninterrupted operations. Working together, Metro Bank (UK) and Rackspace Technology deployed a modern private cloud environment through a phased implementation that improved transaction performance, reduced response times for key applications and simplified the infrastructure supporting daily operations. Read the customer story: https://lnkd.in/eQ98Kdgi

AI adoption is accelerating, but scaling beyond pilots remains a challenge. Most organizations reach a point where pilots succeed but production becomes harder to achieve, and that’s where foundation matters. Modernizing Microsoft Azure environments brings structure to data, systems and governance, making it easier to move forward with confidence. Rackspace helps organizations take that step, enabling AI to operate reliably, scale effectively and deliver measurable outcomes. Explore how to build an AI-ready enterprise on Microsoft Azure: https://bit.ly/4eXEl8f.

Launching an AI pilot is one challenge. Scaling it into production is another. As initiatives grow, organizations need infrastructure designed for enterprise AI alongside the operational expertise to deploy, optimize and scale it. Dell Technologies provides AI-optimized infrastructure, while Rackspace serves as the operator to help organizations move from pilot to production with greater speed, efficiency and confidence. Explore how Dell Technologies and Rackspace are helping organizations operationalize enterprise AI: https://lnkd.in/gMgfifyf