Artificial IntelliTools

See, when you see some of us do what we do, it’s not ’cause we want to, it’s because we have to —  we are a generation behind . It’s realizing all your friends enjoy luxuries and move up in life so fast at a pace you can’t even fathom, simply because their parents put in the work and set a foundation you don’t have. When shit hits the fan, we have no backup, we have no safety net, no generational wealth, no generational property, no generational insurance, not even a land to call home that we can fall back to or lean on —  we are a generation behind. It’s realizing that you always reach and go through stages of life 5 to 10 years later than the rest.  It’s getting to do your masters in your 30s while your peers did that in their early to mid 20s. It’s getting to build or even afford the idea of owning a home in your 40s, when your peers built and were landlords in their mid 20s. It’s getting to experience the luxuries of travel and going abroad in your late 20s and mid 30s when you...

Photo By Author About 3 weeks ago, at AI Extravaganza, Andrew Yeung’s electrifying flagship event for New York City Tech Week , I found myself in an unusual position: I’m a founder with no product, no company, no app, nothing to pitch. As an entrepreneur and someone who’s spent the last 15+ years building: from co-founding and running Wazi Group, a B2B firm in tech, branding, and procurement, to launching ventures in microfinance, logistics and shipping (DoBuy Dubai), events (Festa Iquela), and most recently, co-creating the Open Learners Podcast in collab with MIT OpenCourseWare: this rare moment of pause felt strange. I’m used to walking into rooms like this with momentum: something in hand, a project growing, a company scaling, something live, something to share. But this time, there I was, surrounded by founders and investors passionately pitching their products, apps, and big ideas,while I had… just me. My story. My past. And the humbling awareness that I’m in transition....

About 4 weeks ago, on a Tuesday I completed the intensive hands-on Fabric Analyst in a Day workshop  at the iconic Microsoft Reactor in Times Square, NYC. Here's a bit about what I mastered: • End-to-end data pipeline from multiple sources (Snowflake, SharePoint, ADLS Gen2, Dataverse) • Lakehouse architecture with shortcuts and visual query transformations • Automated data orchestration using Data Pipelines with smart retry logic • Direct Lake semantic models for lightning-fast analytics • Real-time Power BI reports that update instantly without manual refreshes 💡 Key Game-Changers: • DirectLake Mode: No more waiting for data refreshes - changes appear instantly in reports • Unified Platform: One solution replacing multiple tools (Power BI, Azure Data Factory, SQL Server) • Developer Experience: Browser-based development means no more Windows-only limitations • Resilient Pipelines: Smart retry mechanisms that handle data source delays automatically 🏢 Real Business Impact: The...