AI

2025-05-12

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗮 𝗠𝘂𝗹𝘁𝗶-𝗘𝗻𝗲𝗿𝗴𝘆 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺: 𝗔 𝗗𝗼𝗺𝗮𝗶𝗻-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗿𝗶𝗺𝗲𝗿

In this series, I’ll 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 “A Multi-Energy Meta-Model Strategy for Multi-Step Ahead Energy Load Forecasting” Continue reading

Portfolio

AI, Cloud Architect, Cloud Computing, Energy, ML, Solutions Architecture
2025-05-03

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

Machine Learning

AI, Cloud Computing, ML, Solutions Architecture
2025-04-27

Navigating Generative AI: Data Infrastructure, Build vs Buy, and Risk Management

While searching for insights on the implementation of AI, I found a very helpful article, “The great acceleration: CIO perspectives on generative AI” (https://www.technologyreview.com/2023/07/18/1076423/the-great-acceleration-cio-perspectives-on-generative-ai/) by MIT Technology Review Insights in partnership with Databricks. From this article, I extracted some key points regarding what Cloud Solutions Architects should consider. Data Infrastructure is Key Build vs Buy Continue reading

Systems Architecture

AI, AIDevelopment, AIRiskManagement, ArtificialIntelligence, BigData, BuildVsBuy, BusinessStrategy, CIO, CloudArchitecture, CloudComputing, CloudSolutions, CompetitiveAdvantage, DataInfrastructure, DataLakehouse, DataManagement, DataSecurity, DigitalTransformation, EmergingTechnology, GenerativeAI, Innovation, ITStrategy, LargeLanguageModels, LLM, OpenSource, Scalability, TechTrends

AI

𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗮 𝗠𝘂𝗹𝘁𝗶-𝗘𝗻𝗲𝗿𝗴𝘆 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺: 𝗔 𝗗𝗼𝗺𝗮𝗶𝗻-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗿𝗶𝗺𝗲𝗿

Considerations for AI in Business Ecosystems

Navigating Generative AI: Data Infrastructure, Build vs Buy, and Risk Management