{"id":43,"date":"2025-12-16T21:22:24","date_gmt":"2025-12-16T21:22:24","guid":{"rendered":"https:\/\/rebaihamida.com\/?page_id=43"},"modified":"2025-12-23T20:29:50","modified_gmt":"2025-12-23T20:29:50","slug":"blog","status":"publish","type":"page","link":"https:\/\/rebaihamida.com\/?page_id=43","title":{"rendered":"About me"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

The Journey Begins Here<\/h3>\n\n\n\n
\n

After years of contributing to various platforms, I created this personal blog to start a new chapter focused on a simpler, more interactive approach while keeping a lasting record of my ideas, alongside my ongoing contributions elsewhere.<\/p>\n<\/blockquote>\n\n\n\n

This is how it all started\u2026<\/h3>\n\n\n\n

This blog began as an effort to consolidate years of work, curiosity, and experimentation across various fields of artificial intelligence and digital innovation. In addition to covering AI and digital transformation, it delves into machine learning, generative models, large language models, autonomous systems, multi-agent systems, data engineering, MLOps, responsible AI, and human\u2013AI collaboration.<\/p>\n\n\n\n

This blog explores various topics, including cloud-native architectures, platform engineering, decision intelligence, process mining, and end-to-end automation. Unlike my contributions to other platforms, which often focus on specific use cases or target audiences, this blog is intentionally open-ended. It provides a space to connect research with practical applications, architecture with strategy, and experimentation with real operational constraints.<\/p>\n\n\n\n

Here, I document how intelligent systems are designed, scaled, monitored, and integrated into organizations, as well as how innovation arises at the intersection of technology, governance, and people. I aim to prioritize clarity over hype, depth over fleeting trends, and continuity over time. This creates a living reference of ideas, lessons learned, and evolving perspectives for anyone navigating the rapidly expanding AI-driven landscape.<\/p>\n\n\n\n

Hamida Rebai<\/h3>\n\n\n\n

Distinguished Integration Architect, Digital Transformation Architect, FinOps Engineer & Practitioner, Keynote Speaker, Microsoft Certified Trainer, Packt Book Author, LinkedIn Learning Instructor, Docker Captain<\/p>\n","protected":false},"excerpt":{"rendered":"

The Journey Begins Here After years of contributing to various platforms, I created this personal blog to start a new chapter focused on a simpler, more interactive approach while keeping a lasting record of my ideas, alongside my ongoing contributions elsewhere. This is how it all started\u2026 This blog began as an effort to consolidate years of work, curiosity, and experimentation across various fields of artificial intelligence and digital innovation. In addition to covering AI and digital transformation, it delves into machine learning, generative models, large language models, autonomous systems, multi-agent systems, data engineering, MLOps, responsible AI, and human\u2013AI collaboration. This blog explores various topics, including cloud-native architectures, platform engineering, decision intelligence, process mining, and end-to-end automation. Unlike my contributions to other platforms, which often focus on specific use cases or target audiences, this blog is intentionally open-ended. It provides a space to connect research with practical applications, architecture with strategy, and experimentation with real operational constraints. Here, I document how intelligent systems are designed, scaled, monitored, and integrated into organizations, as well as how innovation arises at the intersection of technology, governance, and people. I aim to prioritize clarity over hype, depth over fleeting trends, and continuity over time. This creates a living reference of ideas, lessons learned, and evolving perspectives for anyone navigating the rapidly expanding AI-driven landscape. Hamida Rebai Distinguished Integration Architect, Digital Transformation Architect, FinOps Engineer & Practitioner, Keynote Speaker, Microsoft Certified Trainer, Packt Book Author, LinkedIn Learning Instructor, Docker Captain<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-43","page","type-page","status-publish","hentry"],"yoast_head":"\nAbout me - Next-Generation Tech Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rebaihamida.com\/?page_id=43\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"About me - Next-Generation Tech Blogs\" \/>\n<meta property=\"og:description\" content=\"The Journey Begins Here After years of contributing to various platforms, I created this personal blog to start a new chapter focused on a simpler, more interactive approach while keeping a lasting record of my ideas, alongside my ongoing contributions elsewhere. This is how it all started\u2026 This blog began as an effort to consolidate years of work, curiosity, and experimentation across various fields of artificial intelligence and digital innovation. In addition to covering AI and digital transformation, it delves into machine learning, generative models, large language models, autonomous systems, multi-agent systems, data engineering, MLOps, responsible AI, and human\u2013AI collaboration. This blog explores various topics, including cloud-native architectures, platform engineering, decision intelligence, process mining, and end-to-end automation. Unlike my contributions to other platforms, which often focus on specific use cases or target audiences, this blog is intentionally open-ended. It provides a space to connect research with practical applications, architecture with strategy, and experimentation with real operational constraints. Here, I document how intelligent systems are designed, scaled, monitored, and integrated into organizations, as well as how innovation arises at the intersection of technology, governance, and people. I aim to prioritize clarity over hype, depth over fleeting trends, and continuity over time. This creates a living reference of ideas, lessons learned, and evolving perspectives for anyone navigating the rapidly expanding AI-driven landscape. 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