lol guys just beware of these kinds of job application scams (highly unlikely someone will fall for it tho)… They ask to optimize your resume and LinkedIn profile "at no cost"😇 but ask for details to your LinkedIn account 😂😭🤡. No thank you sir 🤣🙂‍↔️

Wow just wow… Just give up already 😂😭💀💔 #linkedinscamalert #recruitmentupdate

Our MSDAT platform was presented to the Federal Minister of Health and Social Welfare, Muhammad Ali Pate, who officially launched and endorsed the platform. A strong signal for the future of data-driven healthcare.

Really great to see the Nigerian Ministry of Health backing data-driven healthcare with MSDAT.

Most Nigerian fintechs think fraud detection is about better models. It’s not. Stripe’s biggest advantage is simple: they see more data than everyone else. Fraud patterns become obvious when you have enough visibility. substack.com/@joshuaowoicho…

Hey X I'm looking to #connect with people interested in: - Frontend - Backend - Full stack - DevOps - AI/ML - Data Science - UI/UX - Freelancing - Startup - Saas - AI Engineering Say hi 👋 & Let's grow together #BuildingInPublic #CONNECT

A fraud system that blocks everything is not a good system. It’s a broken one. Real users get blocked → they leave. Fraudsters get through → you lose money. The real job is balance, not perfection.

LinkedIn feed isn’t random. They replaced 5 systems with ONE AI model that understands meaning, not keywords. That’s why you see posts outside your field… but still relevant. AI is quietly shaping what you see. open.substack.com/pub/bytebytego…

Wild but real: LinkedIn had more data… and their model got worse. Because they included posts users "ignored". Problem: "ignore" is noisy. So they removed it and focused on: likes, clicks, comments. Performance improved. What this points out is that "AI is less about