From the AI Power Day stage: How to Integrate Artificial Intelligence on IBM Power i

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Artificial Intelligence is now one of the main drivers of innovation for businesses, but its success depends on the ability to integrate it into business processes and IT infrastructure.

During the AI Power Day on June 11th, an event organized by Faq400 dedicated to the evolution of the IBM i ecosystem, we delved into this very topic, sharing our experience on stage. In this article, we recount the main insights from our presentation and explain why technology alone is not enough: method, strategy, and an infrastructure capable of supporting secure, integrated, and truly effective AI are essential.

AI Power Day: The Meeting Point Between Artificial Intelligence and IBM i

In recent years, the IT market has undergone a radical transformation: Artificial Intelligence is no longer a future prospect but a reality that is changing how companies innovate, automate processes, and make decisions. Even the IBM i/AS400 ecosystem, long synonymous with stability, reliability, and operational continuity, is now called upon to evolve to seize the opportunities offered by AI.

From this awareness, AI Power Day was born, an event dedicated to integrating Artificial Intelligence into the IBM i world: a day of discussion among experts, companies, and professionals to explore strategies, technologies, and concrete use cases, demonstrating how AI can enhance existing investments on IBM Power platforms.

We had the pleasure of participating in the event and taking the stage to share our vision: the true value of Artificial Intelligence doesn't simply come from adopting new tools, but from the ability to integrate them into business processes in a structured way.

Why do many Artificial Intelligence projects fail to produce results?

In recent years, many companies have invested in Artificial Intelligence tools, expecting immediate results. However, in practice, these investments don't always translate into real efficiency improvements. This is what we can call the AI Paradox: high expectations and significant investments that often fail to generate the anticipated value.

This happens when Artificial Intelligence is introduced without a precise strategy, merely adding a new platform to business processes that have never been analyzed or optimized.

The most frequent critical issues include:

  • Purchasing AI tools without an adoption plan;
  • The presence of legacy processes that continue to generate inefficiencies;
  • Using AI as a solution separate from the company's core systems;
  • The belief that technology alone can solve organizational and methodological problems.

To avoid this scenario, a change in approach is necessary: first, processes are analyzed, then inefficiencies and improvement opportunities are identified, and finally, Artificial Intelligence is integrated into a redesigned operational workflow.

Only then does AI stop being an additional tool and become an active component of business processes, capable of creating concrete value.

IBM Power 11: the infrastructure for secure, integrated, and business-ready AI

An effective strategy also requires an infrastructure capable of supporting it. IBM Power i offers an ideal environment for running Artificial Intelligence models directly on-premise, maintaining full control over business data.

Local processing reduces latencies, protects intellectual property, and ensures compliance with GDPR regulations, preventing the transfer of sensitive information to external cloud providers. Furthermore, native integration with the IBM Power ecosystem allows AI to be brought exactly where the data resides, without creating additional complexity.

To accelerate the adoption of Enterprise AI and reduce implementation risks, a certified laboratory based on IBM Power 11 architecture has also been developed. This environment allows for experimenting with concrete use cases, validating new models, and verifying their security, performance, and compliance before production deployment.

The message from AI Power Day is clear: the success of an Artificial Intelligence project does not depend solely on the chosen technology, but on the ability to combine well-designed processes, expertise, and a reliable infrastructure. In this scenario, IBM Power 11 can become the heart of business innovation, offering companies a secure, high-performing, and fully integrated environment for AI development.

We guide companies on their journey towards truly effective AI

Integrating Artificial Intelligence into a company means much more than adopting a new technology: it means rethinking processes, leveraging data, and building an infrastructure capable of sustaining innovation over time.

This is precisely the approach we take to support companies every day. From process analysis to strategy definition, right up toAI integration on IBM Power i and the experimentation of concrete use cases, we help organizations transform Artificial Intelligence into a truly useful business tool, maintaining full control over data and leveraging existing technological investments.

If you want to understand how to integrate AI into your organization or discover the potential of your IBM Power i ecosystem, our team is ready to guide you through every step of the journey, from initial consultation to implementing the solutions best suited to your needs. Contact us!

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