ML
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๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐ถ๐ป๐ด ๐ฎ ๐ ๐๐น๐๐ถ-๐๐ป๐ฒ๐ฟ๐ด๐ ๐๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ถ๐ป๐ด ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ: ๐ ๐๐ผ๐บ๐ฎ๐ถ๐ป-๐๐ฟ๐ถ๐๐ฒ๐ป ๐๐ฒ๐๐ถ๐ด๐ป ๐ฃ๐ฟ๐ถ๐บ๐ฒ๐ฟ
In this series, Iโll present a step-by-step guide to designing a scalable cloud architecture for a multi-energy, multi-step forecasting platform. This first post focuses on applying Domain-Driven Design (DDD) to structure the problem space and lay the foundation for implementation. Drawing from the 2025 paper โA Multi-Energy Meta-Model Strategy for Multi-Step Ahead Energy Load Forecastingโ Continue reading
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Considerations for AI in Business Ecosystems
I had the opportunity to deliver a high-level presentation on how solutions architecture plays a pivotal role in the implementation of AI and ML from a tactical perspective. The session was engaging, with a majority of the audience being product owners eager to understand the intersection of cloud solutions and AI/ML innovation. Based on my Continue reading
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