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Ursula | AI & Product
105 posts
Ursula | AI & Product
@__ursulaaa
Technical PM | Host of Tech As It Is 🎙️ | Building in Fintech & Health | Listen here: https://t.co/1Q6R2hyYxR
Lagos, Nigeria Katılım Temmuz 2020
204 Takip Edilen79 Takipçiler
I will love to connect to more tech enthusiasts on the space
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Everyone talks about AI.
But very few people understand how it actually works.
It’s simpler than you think:
Input → Process → Output.
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AI decisions are everywhere.
Loan approvals.
Healthcare insights.
Risk scoring.
But here’s the problem…
Most systems can’t clearly explain
Why or how was that decision made?
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AI can give answers.
But can it explain them?
That’s the real question.
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New Job Alert 📢
Senior Product Manager
Location: Remote (Nigeria)
Application closes: Not specified
See full details and apply:
jobs.lever.co/jobgether/d86a…
Requirements:
√ Minimum 4 years of experience as a Product or Project Manager, ideally in a tech-driven or digital company delivering internal solutions
√ Proven ability to lead cross-functional teams and manage complex projects from ideation to execution
√ Strong understanding of modern product and project management practices, with hands-on experience in process optimization and digital transformation
√ Excellent analytical skills and ability to make data-informed decisions
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AI gets all the attention.
But most AI systems don’t fail because of the model.
They fail because of bad data.
And that’s where data governance comes in.
New episode of Tech As It Is 🎙️ ⬇️⬇️
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In regulated industries, if you can’t prove how an AI model reached a conclusion, it’s a black box.
A "smart" mistake is still a mistake. Explainability > Intelligence.
Deep dive on the latest
TechAsItIs Podcast: Link in bio
#AI #Fintech #AIGovernance #PM #RegulatedAI
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Most AI demos look impressive.
But in regulated industries like healthcare & finance, AI must be explainable, traceable, and accountable.
Lives and money are at stake — it’s not just about the model.
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Compliance isn't a "check-box" at the end. It must be baked into the architecture.
If you can't audit the data path, you can't scale the product.
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Myth: "Data privacy laws (HIPAA/GDPR) are a barrier to AI innovation."
Truth: Data privacy is your competitive moat. In regulated industries, the winner isn't who has the most data, but who has the most secure data
Precision > Volume. 🛡️📈 #AI #Fintech #HealthTech
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AI isn’t replacing clinicians.
It’s reshaping systems.
Imaging.
Personalized medicine.
Admin workflows.
Drug discovery.
That’s the real shift.
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I’m thinking of dropping a detailed roadmap on how to start freelancing
covering all the mistakes I made along the way and how you can get your first client.
If you’re interested,
drop a “hi” in the comments.
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Even if you have just 0 follower.
Just say Hello, if you want people to connect with you.
Very simple. I will make sure I follow everyone who say hello .
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If you’re interested in LEARNING all of these for FREE:
📝Product management
📝Project management
📝Business analytics
📝Data visualization
📝Microsoft excel
📝Data analytics
📝Big data
📝Scrum
📝UI/UX
📝Agile
📝SQL
To get it, just:
1. Like & Retweet
2. Comment "Need"
3. MUST be Following (so that I can dm)
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I want to work with a Product Manager on a side project
I am building a system that helps Product Managers create and share their portfolios using low-code/no-code tools.
I need a PM to help push the build to launch phase.
👉 forms.gle/iwybzCEo7hk2dD…
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