Ever feel like your phone knows you a little too well?
You browse for a pair of sneakers once and suddenly ads for them follow you across the
internet just like a digital stalker.
But what if I told you there's a way you can enjoy hyper-personalized AI recommendations
without sacrificing your privacy?
Sounds impossible, doesn't it?
Welcome to the hidden revolution of AI personalization.
Welcome to Data & AI with Mukundan, where we decode the future of technology in ways
that matter to you.
In today's episode, we're diving deep into a game-changing shift in AI, the ability to
personalize your experience without intruding into your personal data.
And the best part?
This evolution is already happening.
See here's where the problem is.
Why AI personalization has been broken?
Let's look at the problem.
Have you ever noticed that streaming services like Netflix, Amazon Prime and Spotify recommend
things that feel a little off?
Sometimes they get it right, other times it feels like they're just throwing darts in
the dark.
The issue, however, is that AI models today try to learn from everyone, not just you specifically.
Personalization has always come at a cost.
AI models typically work by collecting vast amounts of personal data to predict your preferences.
The problem is that data sits on centralized servers which is vulnerable to leaks, glitches
and misuse.
A one-size-fits-all model doesn't work.
Imagine if everyone in the world had to wear the same shoe size.
That's what AI personalization feels like right now.
Streaming services which are always giving generic recommendations that don't always
hit the mark.
E-commerce, in e-commerce what's happening is random product suggestions instead of what
you actually want.
In healthcare, the diagnosis, they are ignoring your personal history or your lifestyle habits
and then there's the biggest issue, rust.
So you see how there's like so many issues with the one-size-fits-all model and obviously
rust is one of the biggest reasons we have with AI.
We're starting to feel uneasy about how much AI knows about us.
Here are some breakthrough models I want to talk about.
And AI that learns without spying on you.
There's two new revolutionary techniques which are solving this problem of how much AI knows
about us.
Sequential layer expansion and FedSelect.
Now these aren't just theoretical ideas.
They're practical solutions which are reshaping AI as we speak.
Now what is sequential layer expansion?
I know that sounds like a mouthful but let me explain that to you.
It's an AI that grows with you.
So elaborate.
Now instead of treating AI models like a fixed block, this method builds AI in layers.
It helps to allow it to grow and adapt over time.
Now think of it like you're training for a marathon.
You don't start by running 26 miles, right?
Or even 15 miles.
You will have to build it up in layers.
First a mile, then you do 2, 3, 4, 5, then 10, right?
Then you get to your 26.
Actually I'm sorry, maybe even do a half marathon first.
Now why this is a game changer is this model starts with a basic foundation and it gradually
adds complexity based on your data.
This means it only learns what's relevant to you instead of overloading itself with
irrelevant data from everyone.
The AI keeps evolving without needing massive amounts of external data.
So that was sequential layer expansion.
Now the other one I wanted to talk about today was FedSelect which is precision without compromise.
Instead of treating all AI updates as necessary, FedSelect carefully selects only the parameters
that need adjustment.
Now think of it like your tuning a car.
Now instead of replacing the entire engine, you fine tune just the parts that improve
performance.
Why it's revolutionary?
Because your fine tuning is an AI that adjusts only the parameters that matter for you.
It focuses on efficiency first.
So in that way there's no wasted computing power or unnecessary updates.
This privacy by design as well in this, everything happens locally on your device.
Your raw data never leaves.
The bottom line is this, these techniques, they create an AI that's fast, efficient
and private.
So let's look at real world impact of how this changes our daily life.
Streaming services that actually understand you.
That's you open Netflix and boom, a recommendation that fits exactly what you're in the mood
for without creepy tracking.
As in e-commerce if you want to see smarter, more intuitive shopping.
Now your shopping app doesn't just suggest what's trendy.
It recommends what's right for you based on subtle local AI learning.
And in terms of healthcare, you'll have more personalized healthcare that respects your
privacy.
Now imagine AI powered health plans which are tailored to your genes and your habits
without your medical data ever leaving your device.
Now here's the bigger picture.
AI that respects human identity.
The human is important.
One major challenge in AI is scalability.
How do we make AI work for billions of users without losing its human touch?
The answer personalized AI at scale.
Sequential layer expansion makes AI adaptable, learning progressively.
And FedSelect ensures AI only adjusts what truly matters for each user.
Here's my final takeaway.
This isn't just about AI getting smarter.
It's about AI becoming better for everyone.
We need to make AI more inclusive.
And what it means for you is more privacy, no more surveillance style tracking.
You have better experiences.
AI feels natural, intuitive and human.
Get more control.
You shape the AI, not the other way around.
So here's what I want you to do as a next step.
Be part of the AI revolution.
Stay informed.
Read up on FedSelect and sequential layer expansion and I'll link that in the show notes.
Advocate for privacy first, AI.
Support ethical technology, spread the word.
Now share this episode with someone who needs to hear it.
AI doesn't have to be creepy.
It can be personal without being invasive.
And that's the future we should all demand.
Well, until next time, this is Mukundar bringing you the best of data and AI in a way that
matters.
Thanks for tuning in.
Don't forget to subscribe, leave a review and follow for more AI breakthroughs that
impact your world.