Lessons from Day my Microsoft Power BI training on data governance, DAX calculated measures vs columns, semantic models, row-level security, and why design standards matter.
What I learned on Day 1 of Microsoft Power BI training. Data preparation, Power Query, and why clean data matters more than good dashboards. Real lessons from the classroom.
What a semantic model is, how the semantic layer works, and why it matters for AI, analytics, and enterprise data platforms. Covers Power BI, Oracle Analytics Cloud, dbt, Databricks, and Snowflake.
Most organizations don't have a data shortage. They have a data trust problem. Reports contradict each other. Teams spend hours reconciling numbers before a meeting. Executives make decisions based on data they're not fully confident in. Meanwhile, the organization is sitting on more data than it
Large-scale data platform projects are complex by nature. Add in multiple departments, years of legacy tooling, and a large organization with competing priorities, and you have a genuinely hard problem to solve. I have been in the middle of one of those projects, helping lead stakeholder engagement for a unified
Learn how to become an AI expert in 2026. This roadmap covers the skills, certifications, career paths, and real-world experience you need to break into AI leadership.
This AI chatbot leverages AWS services to process, clean, and integrate data from a curated Senior Health Q&A dataset using Retrieval-Augmented Generation (RAG).
To enhance the student experience, reduce administrative workload, and streamline processes, the university decided to leverage AI and develop an AI-powered Academic Advisor.
Let's do a deep dive into why identifying the business case and requirements are crucial and how it shapes the AI development process.
In an effort to stay competitive and increase their content production, this small business used an AI Blog Article Writer aimed to boost their blog output while also reducing costs.