Category Archives: AI & Analytics

Where Did ResNet34 Come From? A Look at the AI Model Repositories Powering Modern ML Workflows

đź‘‹ Following Up on Our FastAI Tutorial In our last post, “How to Train a Basic Vision Model Using FastAI“, we walked you through a simple, fast pipeline for training an image classifier using FastAI. Many of you asked a great follow-up question: “Where did the resnet34 model come from — and how did you […]

The Future of Software Engineering: From Code Monkeys to Code Conductors

Once upon a time, a “software engineer” meant someone who typed syntax until something finally compiled. In the coming decade, that definition is going extinct. We’re entering the era of vibe coding — a world where engineers don’t just write code, they orchestrate it. AI handles the mechanical work. Humans supply the intent, direction, and […]

How to Train a Basic Vision Model Using FastAI

Following up on our previous article, “The 75% Workforce Reduction Already Here: How Functional AI Pipelines Are Reshaping Work”, we received a wave of questions about how to actually train a computer vision model — not just automate one. This post answers that — with a high-level, practical example showing how to train a basic […]

From Demo to Dollars: How BBrant.com Proved the Power of AI-Enhanced Ecommerce

When we spun up BBrant.com, it wasn’t supposed to make money. It was built as a sandbox—a place to test how far our AI substrate could push ecommerce automation, SEO, and product storytelling. Then it took off. Within weeks, the demo store began outperforming expectations—organically climbing search rankings, drawing in real shoppers, and turning optimized […]

The 75% Workforce Reduction Already Here: How Functional AI Pipelines Are Reshaping Work

The numbers are staggering. Across small and mid-sized companies, we’re now seeing a realized 75% reduction in workforce after implementing functional AI pipelines, with estimates climbing as high as 80–90%. This isn’t speculative. It’s happening today. Entire departments that once required teams of people are being compressed into streamlined AI pipelines that run in real […]

MLOps for Small Business: From Experiment to Reliable AI in Production

Machine Learning isn’t just for the big players anymore. As tools become more accessible and open-source solutions flourish, small and midsize businesses (SMBs) are in a unique position to leverage AI without needing a massive data science team. But deploying a model isn’t the same as maintaining one. That’s where MLOps comes in—and it’s more […]

No Humans Required: The Rise of the 100% AI-Run Company

Why a Business With Zero Human Employees Is Closer Than You Think It sounds like a headline ripped from a dystopian sci-fi flick—or a pitch deck from a Silicon Valley VC who’s had too much coffee:A company, generating real revenue, operating at scale, with not a single human on payroll. But here’s the kicker: This […]

Trust & Transparency: Explainable AI in the Wild

Why Black Box AI Is Out—and Clarity, Confidence, and Accountability Are In Remember when “AI” meant a magical black box that just worked—or didn’t—and you had to shrug and move on? Those days are done. If you’re putting AI in front of customers, users, or regulators, you need more than clever math and marketing swagger. […]

From OLAP to Vector Databases: How Data Storage Evolved for the AI Era

For decades, if you wanted answers from your mountain of business data, you went to an OLAP database. It was the workhorse behind every sales dashboard, boardroom chart, and “how the hell are we doing this quarter?” meeting. But if you’ve been paying attention, you know the world changed—and so did our data. Enter the […]

Predicting the Impossible? Why “The Holy Grail” of Stock Prediction Isn’t Funny Anymore

Two years ago, if a client had come to us and said: “We need the ability to effectively and consistently predict stocks that will gain in value at least 3% over a 24 hour period.” —we probably would have grinned, nodded politely, and then started a betting pool on how long it’d take for reality […]