From Turing to Today: A Short History of Artificial Intelligence
AI is not new, and it has crashed before. The pattern of hype, funding, and correction over seven decades is the best guide institutions have for adopting it sensibly today.
How Revenue Authorities Are Using AI to Close the Tax Gap
From Estonia's pre-filled returns to Chile's fraud-detection models, tax authorities worldwide are using AI to target audits better, not just harder. What that means for FIRS and state IRS.
AI and Fraud Detection: What Nigerian Banks Are Already Doing
Real-time transaction scoring is already standard in Nigerian banking. The open question isn't whether to use AI here — it's how to govern it once the regulators catch up.
Bringing AI Into Public Service Delivery: Where to Start
Estonia and Rwanda didn't start with AI — they started with clean data and joined-up systems. The uncomfortable truth for MDAs considering AI is that the hard work comes first.
Nigeria's National AI Strategy: What Institutional Leaders Need to Know
The NAIS sets a five-year vision and five pillars for Nigerian AI. Its own governance body isn't seated yet — which means the compliance burden sits with your institution today, not tomorrow.
Africa's Fastest-Growing Economies and AI: What the Data Actually Shows
Ethiopia is growing at 9.2% this year and has a national AI institute. It's tempting to connect those facts. The IMF and AfDB data says something more precise, and more useful, instead.
AI and Workplace Security: The Real Danger Isn't What You Think
The workplace AI risk that matters isn't a future scenario. It's already measured: employees leaking data through unsanctioned tools, and fraudsters using deepfakes to impersonate colleagues on video calls.