Startup Idea💡
Kidnap Insurance™
For just ₦25,000/month, if you're kidnapped, we'll pay your ransom up to ₦5 million.
Benefits:
✅Fast payout
✅No paperwork
✅Family peace of mind
✅Loyalty discounts for repeat customers 😁
We're launching anyway.
#StartupIdeas#InsurTech
#Arsenal have lifted the league title after 22 years.
Huge thanks to the referees and PGMOL for their season-long dedication to “helpful interpretation of the laws of the game”. Truly inspiring how VAR developed a sudden passion for dramatic plot twists, and selective vision.
In a world filled with dashboards and metrics, the real differentiator is not who can build charts — it’s who can explain them clearly and extract meaning.
https://t.co/v26vHvEZC5
#DataAnalytics#DataVisualization#TPOT
As AGI approaches, I believe we need more than technical literacy.
We need philosophical patience.
We need quiet reading.
We need reflection.
We need the courage to ask what remains of the human being when intelligence is no longer uniquely human.
Maybe the most radical thing we can do right now is not to read another paper about agents.
Maybe it is to open a difficult book and let it disturb us.
Just concluded a Data Analytics training for 20 amazing women pivoting into tech.
From zero to hands-on skills in data, tools, and real-world thinking, the transformation is undeniable.
Proud of them for taking the bold step and building something new.
#DataAnalytics#WomenInTech
The Dashboardification of the Data Analyst
A reflection on how analytics drifted from rigorous inquiry to a dashboard assembly line
https://t.co/65T4qThAPW
With Spotify Wrapped everywhere, imagine a #ChatGPT Wrapped 👀
An AI summary of your entire year - your projects, ideas, questions, growth… all based on your conversations.
Now that would be something beautiful. ✨
Agents are now hitting a new roadblock!
And it's not due to compute, memory, or LLMs!
We spent decades designing APIs for developers who read docs, understand context, and can improvise when things break.
However, AI agents can't do any of that. They need perfect consistency, machine-readable everything, and zero ambiguity.
So most APIs that were originally designed for humans are now terrible for AI consumption.
And this gap is already becoming everyone's problem since AI Agents are now the primary API consumers.
@getpostman has released an API Maturity Assessment that solves this, and they are working with me today on this post to share what it entails.
It shows exactly where you stand across 6 critical dimensions:
- Impact: Are APIs actually driving business outcomes?
- Discoverability: Can Agents even find your APIs, let alone use them effectively?
- Quality: Do you have automated checks that catch issues before an Agent hammers your system?
- Governance: Is there a consistent structure that machines can understand?
- Security: Can you handle AI agents making 1000x more calls than humans?
- AI Readiness: Can machines consume your APIs as easily as humans?
The assessment takes 5 minutes and shows you exactly where the gaps are.
What's interesting is how it connects API maturity directly to AI readiness.
It's not just about having good APIs anymore. Instead, it's about having APIs that can be consumed, understood, and leveraged by the next generation of AI systems.
Most teams I talk to think they're ready because they have "good documentation."
But good for humans does not equate to good for machines.
I have shared an assessment in the replies.
If you work with data, you know that
bad data = bad insights
I just published Building Trust in Your Data: A Practical Guide to Data Quality Tests
It’s a practical, no-jargon guide to start your data quality journey with confidence.
https://t.co/eRzM6oD82H