Artificial Intelligence
Estimated Reading Time: 6 minutesSimply keeping the lights on isn’t enough anymore. Organizations need more than just functioning systems. They need systems that can grow, adapt, and improve over time. That means rethinking managed services not just as a way to maintain operations, but as a foundation for ongoing transformation.
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Estimated Reading Time: 8 minutesHybrid AI systems are designed to balance performance and efficiency, using SLMs for quick, routine tasks and turning to LLMs when deeper reasoning or context is needed.
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Estimated Reading Time: 12 minutesLLMOps, short for Large Language Model Operations, is a growing field that focuses on managing the entire lifecycle of large language models like GPT, LLaMA, Claude, and Mistral. Think of
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I help organizations evolve existing software ecosystems without forcing unnecessary large-scale rewrites. The focus is on understanding the current system, identifying what needs to change, and defining an incremental path toward a more maintainable and adaptable architecture.
This includes:
I assess existing software systems and architectures to identify structural problems, technical risks, constraints, and opportunities for improvement.
The goal is to provide a clear understanding of the current architecture and practical recommendations for its evolution. This includes:
I facilitate focused workshops to help teams understand complex domains, identify architectural boundaries, align technical and business perspectives, and make informed decisions about architecture and transformation.
This includes:
I support organizations in designing solution architectures and turning architectural decisions into working ecosystems.
The focus is not only on defining the architecture, but also on providing technical direction throughout implementation and delivery.
This includes:
