Tag: Technology

Leading LLMs of August 2025: Who’s Winning the AI Race?

If AI progress felt like a sprint in 2023, by 2025, it looks more like a rocket launch. Models aren’t just improving year by year—they’re leaping ahead month by month. What we thought was “cutting edge” last quarter is already yesterday’s news.

Here’s the reality: the global LLM market is surging toward $105.5 billion in North America by 2030. That’s not a forecast—it’s a signal. AI is no longer a novelty; it’s infrastructure.

But with so many options, which models actually matter right now? Which ones are shaping the way businesses, developers, and researchers use AI today?

I’ve rounded up the 10 large language models making the most significant impact in August 2025. Each one has its own unique personality, strengths, and trade-offs.

1. OpenAI – GPT-5

ChatGPT 5 is the next step in OpenAI’s journey, moving beyond GPT-4.5’s strengths to deliver a model that feels sharper, more adaptive, and more transparent in its reasoning. Where GPT-4.5 leaned heavily on pattern recognition, ChatGPT 5 combines that fluency with stronger deliberate reasoning, giving it the ability to break down problems with more structure and clarity.

It is also built to integrate more smoothly into real workflows. From handling long-form context with greater accuracy to providing clearer explanations of its answers, ChatGPT 5 is less about simply generating text and more about acting as a reliable partner. The model handles multimodal input—text, images, audio, and video—with greater fluidity, making it useful across industries from education to enterprise automation.

Like its predecessor, ChatGPT 5 remains proprietary, available through subscriptions or enterprise licensing. But for teams that want both conversational polish and deeper reasoning ability in one package, ChatGPT 5 has quickly become the new reference point.

2. DeepSeek – The Open-Source Challenger

China’s DeepSeek R1 took the AI world by storm with 671B parameters in a Mixture-of-Experts setup. By May 2025, their DeepSeek-V3 was leading the open-source leaderboard, proving that open models can compete head-to-head with proprietary giants.

The magic? 30 times cheaper than OpenAI’s o1 and 5 times faster. It thrives in reasoning-heavy tasks like math, coding, and scientific simulations. And with RAG integration, enterprises can plug it into sensitive datasets while maintaining control.

If you want open-source power with enterprise-level results, DeepSeek is redefining the game.

3. Qwen – Alibaba’s Efficiency Master

Alibaba’s Qwen 3 family is quietly powering industries across Asia. Their standout, QwQ-32B, rivals GPT-4o and DeepSeek in reasoning and coding while requiring far less compute.

With 32K context windows, Apache 2.0 licensing, and a parameter range from 1.8B to 72B, Qwen has become one of the most accessible and widely adopted LLM ecosystems. Already, over 90,000 businesses use it for gaming, consumer electronics, and enterprise workflows.

Qwen proves you don’t need hyperscale resources to compete at the highest level.

4. Grok – Elon Musk’s Conversational Rebel

Built by xAI and integrated into the X platform, Grok 3 feels different. It’s witty, fast, and plugged into real-time information.

With Think, Big Brain, and DeepSearch modes, it breaks down problems and pulls fresh data directly from the web and social feeds. Trained with 10x the compute of Grok 2, it’s designed for speed and trend awareness.

If your world demands live analysis, news tracking, or instant customer interaction, Grok brings something truly unique.

5. Llama – Meta’s Open-Weight Titan

Meta’s Llama 4 arrived in April with two flagship versions: Scout and Maverick. Both are natively multimodal, handling text, images, and short video, and they boast 256K token context windows.

The openness of Llama remains its secret weapon. Businesses and researchers can run it on their own terms, tune it to specific workflows, and avoid vendor lock-in.

If freedom and flexibility matter most, Llama is the open-source heavyweight to trust.

6. Claude – Anthropic’s Reflective Thinker

Anthropic’s Claude 4 Sonnet is like the careful colleague who always double-checks their work. Its extended thinking mode allows the model to pause, reflect, and refine outputs before committing.

With a 200K-token context window, it handles long documents with ease, making it a natural fit for legal analysis, compliance-heavy industries, and coding projects that need extra accuracy.

If reliability is more important than speed, Claude delivers consistency and thoughtfulness.

7. Mistral – Small but Mighty

Sometimes you don’t need a massive model—you need one that’s fast and affordable. Enter Mistral Small 3.

With 24B parameters, Apache 2.0 licensing, and speeds up to 150 tokens per second, it’s optimised for low-latency applications. The kicker? You can run it on a single GPU or even a MacBook.

For startups and lean businesses, Mistral proves that small models can pack a punch.

8. Gemini – Google’s Reasoning Powerhouse

Google’s Gemini 2.5 is pushing boundaries with a 1M-token context window. That means it can process entire books or databases in one shot.

It’s multimodal, handling text, images, and code, and comes with self-fact-checking to reduce hallucinations.

It’s proprietary, so data compliance matters, but if you want enterprise-grade multimodality and serious reasoning, Gemini is one of the most advanced options on the market.

For those preferring open weights, Google’s Gemma 3 (1B–27B) brings much of the same reasoning strength in a lighter package.

9. Command R – Cohere’s Enterprise Specialist

Cohere isn’t trying to win the hype war—it’s focused on enterprise workflows. Their Command R+ offers 128K context windows, built-in citations, multilingual coverage, and retrieval-augmented generation.

It excels at policy manuals, compliance-heavy industries, and multilingual customer service. And for companies needing control, Command A is open-sourced at 111B parameters with 256K context support.

For enterprises where accuracy and compliance come first, Cohere is a trusted partner.

10. Falcon – The Middle Eastern Power Play

From the Technology Innovation Institute (TII) in Abu Dhabi, Falcon has emerged as one of the strongest open-weight LLMs outside the US, China, or Europe.

The latest version, Falcon 2, boasts multilingual capabilities, optimised efficiency, and open-access licensing. It’s trained on a diverse dataset with an emphasis on global inclusivity, making it particularly strong in Arabic and other underrepresented languages.

What makes Falcon stand out is its mission: bringing AI sovereignty to regions that often depend on Western or Chinese tech. By providing a robust open-source model, Falcon gives governments, universities, and enterprises across the Middle East a homegrown alternative.

If AI diversity and regional sovereignty are important to you, Falcon is an LLM worth watching closely.

Closing Thoughts

Ten models. Ten different approaches to the future of AI.

  • OpenAI and Gemini lead with polished, proprietary power.
  • DeepSeek, Qwen, Llama, and Falcon prove open-source can compete and even outpace.
  • Claude and Cohere focus on reliability and compliance.
  • Mistral and Grok carve out niches in speed, agility, and personality.

The bigger question isn’t “Which is the best?” but “Which one is the best fit for you?”

AI in 2025 is not a single path—it’s a crossroads with ten directions. And whichever road you choose, the destination is changing how we work, build, and think.

Now I’d love to hear from you. Which of these ten models do you think will dominate the AI race by 2030—and why? Share your thoughts in the comments.

Why FAVORIOT Exists: The Deeper Purpose Behind Our IoT Mission

“Why do you do what you do?”

It’s a simple question — but one that hit me like a lightning bolt the first time I heard it posed by Simon Sinek in his book “Start With Why.” I thought I had the answer years ago when we founded FAVORIOT. We wanted to build an IoT platform. We wanted to be part of the Fourth Industrial Revolution. We wanted to make Malaysia proud.

But after reading Find Your Why, I realized I had only scratched the surface.

So I decided to go deeper. To strip away the features, the dashboards, the data streams — and ask myself, what is our true reason for being?

The Early Sparks: Frustration as Fuel

I spent decades in various ecosystems — from academia to government, corporates to startups. In every world, I saw the same problem repeat like a broken record: brilliant people with smart ideas were stuck because the technology was either too expensive, too complicated, or too foreign.

“Why are we importing tech for things we can build locally?”

“Why can’t our students graduate with real IoT skills, not just theories?”

“Why does every ‘Smart City’ pilot end with a press release but no long-term sustainability?”

Each “why” turned into fuel.

And that’s how FAVORIOT was born. Not from a business plan, but from frustration. From the belief that things should be simpler. That IoT shouldn’t be reserved for tech giants. That a kampung farmer, a Form 5 student, and a municipal engineer all deserve access to the same tools of transformation.

Understanding Our WHY

According to Find Your Why, every organization must uncover its purpose through reflection, story, and the impact it wants to make. It isn’t about what you do — it’s about why you do it.

And the format is simple yet powerful:

TO [your contribution] SO THAT [your impact].

So I asked myself:

  • What do we do when we’re at our best?
  • What makes us proud?
  • What kind of future do we want to build — not just for us, but for others?

Our WHY Statement

To empower people and organizations with accessible IoT technology, so that they can build smarter, connected futures on their own terms.

Let me unpack that for you.

“To Empower People and Organizations…”

We don’t just provide a dashboard.

We empower students to build their final year projects with confidence. We empower lecturers to teach IoT without needing an AWS certification. We empower entrepreneurs to launch sensor-based services. We empower city councils to detect flood risks, monitor waste bins, and receive alerts directly on Telegram — without vendor lock-ins or complex coding.

This empowerment comes in the form of:

  • A local, developer-friendly IoT platform (FAVORIOT Cloud)
  • Training and certifications via FAVORIOT Academy
  • Partnerships that build ecosystems, not just transactions

We’ve seen it firsthand — the moment someone realizes “Hey, I can build this myself” — that’s where our real work begins.

“…with Accessible IoT Technology…”

IoT is often wrapped in buzzwords: LPWAN, edge computing, mesh networks. But in truth, most users don’t need to know all that.

What they need is:

  • A clean dashboard
  • A reliable API
  • A simple setup guide
  • Local support, not just chatbot replies from time zones away

We built FAVORIOT with accessibility in mind. Not “dumbed down,” but demystified. So that even if you’re a high school student or a small-town official, you can say, “Yes, I understand this.”

We’re proudly Made in Malaysia, but we’re built for global adoption — especially in regions where digital transformation is often a PowerPoint slide, not a daily tool.

“…So That They Can Build Smarter, Connected Futures…”

This is the impact. The soul of our mission.

It’s not about selling more subscriptions or deploying more gateways. It’s about helping others take control of their own digital transformation.

A university that trains 500 certified IoT graduates per year?
That’s a smarter future.

A logistics company that reduces vehicle downtime with sensor data?
That’s a smarter future.

A kampung that uses IoT to monitor river levels and avoid flooding?
That’s not a Silicon Valley fantasy. That’s reality. And it’s happening.

Because we gave them the tools — and more importantly, the confidence — to build it on their own terms.

What Favoriot Is Not

We’re not trying to compete with AWS or Azure on scale.

We’re not just another smart city vendor with flashy mockups and no follow-through.

And we’re definitely not in it for vanity metrics.

What we are building is a platform that:

  • Trains the next generation of engineers and technologists
  • Supports local system integrators with ready-to-deploy tools
  • Strengthens national resilience by owning our tech stack
  • Connects the dots between ambition and execution

Why This Matters — Especially Now

Everyone’s talking about AI. And yes, AI is exciting.

But here’s the truth: AI needs data. And data comes from IoT.

Without sensors, there are no predictions. Without real-time input, there’s no intelligent decision-making. IoT is the nervous system — AI is the brain. You can’t build a smarter future with just one.

Yet IoT is often the unsung hero.

FAVORIOT exists to make that hero visible — to give it a platform, a purpose, and most importantly, a presence in our communities.

Closing Thoughts: Why I’m Still Here

People sometimes ask me, “After all these years, what keeps you going?”

And honestly, it’s not the tech.

It’s the message I got from a student who said, “Dr., because of the Favoriot certification, I got hired immediately after graduation.”

It’s the local council officer who said, “We prevented a flood this year — because of your alerts.”

It’s the partner in Indonesia who said, “We never thought we could build our own IoT solution — until Favoriot.”

That is our WHY.

That is why we exist.

And that is why we’ll keep building.

Your Turn

If you’re a student, a policymaker, a developer, or an entrepreneur — and you’ve ever thought “IoT is too complex” — I invite you to rethink that.

Because with the right platform, the right support, and the right purpose — you’re closer to a smarter future than you think.

And we, at Favoriot, are here to help you build it.

Let’s democratize IoT. Together.

Let’s Make IoT Great Again — The Malaysian Comeback We’ve Been Waiting For

“Malaysia’s not ready yet…”

You’ve heard that line, haven’t you?
I’ve heard it in government meetings, corporate pitches, startup huddles, even in university halls.

“Let’s wait for the right timing.”
“Let’s see if the budget gets approved.”
“Let’s hold until the talent pool matures.”

Enough waiting. Seriously.

Because if we keep hitting pause, someone else is going to press play — and leave us behind in the dust.

South Korea Didn’t Wait. China Didn’t Either.

In the 1980s, South Korea was still recovering and rebuilding.
In the 1990s, China was just finding its footing on the world stage.

They weren’t “ready” either.

But they moved.
They dared.
They started.

And now? The world watches them. Learns from them. Competes with them.

Malaysia, it’s our turn. But only if we dare to move — even if it’s messy.

Whatever Happened to IoT?

I still remember when IoT was the darling of tech conferences.

Smart cities.
Smart farming.
Smart industries.
Smart everything.

IoT was the buzzword. The future.

But slowly, it faded. AI came in with a bang — and now even school kids are doing AI projects. Meanwhile, IoT became the forgotten tech. The backup dancer.

But guess what? IoT never went away. It just stopped trending.

And that’s not fair — because IoT is the foundation.
No IoT, no data.
No data, no AI.
No AI, no “smart” anything.

We’ve been cheering for AI, but forgot where AI gets its brain food — real-world data from IoT devices.

So let’s bring IoT back to the main stage.

Waiting for a Masterplan? Here’s the Truth.

Malaysia loves blueprints. Loves roadmaps. Loves waiting for official green lights.

But progress rarely comes from the top. It starts in the cracks.
In university labs.
In garage workshops.
In kopitiam brainstorms.
In “I-don’t-know-coding-but-I’ll-try” kinda attitude.

You don’t need to be a coding wizard.
You don’t need RM100,000.
You just need the guts to start.

Platforms like FAVORIOT make it ridiculously easy to test, build, and learn. Plug and play. Create a dashboard. Get alerts. It’s not rocket science anymore.

And you don’t need permission to innovate.

Here’s My Challenge to You

I’m not asking you to build Malaysia’s next unicorn startup tomorrow.

I’m asking you to:

  • Build a small IoT project with your kids.
  • Monitor your home’s electricity using sensors.
  • Start a DIY smart farm with friends.
  • Teach students how to send data to the cloud.
  • Connect a temperature sensor to a dashboard just because you can.

Each small project creates momentum.
Each momentum builds confidence.
Each confidence turns into a movement.

Imagine hundreds — no, thousands — of these projects happening across Malaysia. That’s not hype. That’s ecosystem-building.

Start Small. Start Messy. But Please—Start Now.

Let’s stop worrying if it’ll fail. Let’s stop doubting ourselves.

Failure is part of the story.

Every successful nation, every great tech innovation — it all started with people trying, failing, adjusting, and trying again.

If we want Malaysia to lead in IoT, we need to stop talking and start doing.

Because:

  • The technology is already here.
  • The talent is growing.
  • The platforms are local and ready.
  • The excuses are tired.

The Revival Starts Here — and With Us

I’m writing this not just as someone in the IoT industry, but as a Malaysian who’s tired of hearing “We’re not ready.”

What if we stopped asking for permission?
What if we trusted ourselves to build something great from the ground up?
What if our “small” becomes the next big thing in Southeast Asia?

This isn’t a government-only mission. This isn’t a corporate-only opportunity.

This is everyone’s movement.

If we wait for perfect conditions, we’ll never move.

So let’s stop waiting. Let’s start building.

Malaysia, This Is Your IoT Moment

It’s not about who’s ahead now. It’s about who dares to start — and keeps going.

We’ve got what it takes.

Let’s build the sensors.
Let’s write the code.
Let’s run the dashboards.
Let’s fix the bugs.
Let’s train the students.
Let’s test the ideas.
Let’s MAKE MISTAKES.

And let’s make IoT great again — in our own Malaysian way.

Not by following others, but by leading with bold, messy action.

Are you in?

The Book That Finally Told the Truth About IoT

For years, I’ve watched the Internet of Things evolve—promises, pilots, platforms, and… silence.

We were told IoT would change everything. And yet, here we are. Smart cities still look like science projects. Predictive maintenance rarely gets past a demo. Even in conferences, IoT is the quiet cousin, while AI receives the spotlight.

So when I read “IoT: The Hype No One Knows About” by Afzal Mangal, I didn’t just read it—I felt it.

This wasn’t another technical deep dive. It wasn’t a glossy case study collection either. It was something rare: an honest book written by someone who’s actually done the work, faced the resistance, and survived the grind.

It’s Not the Technology That’s Broken

The core message? IoT works. That’s not the problem. The issue is that no one knows or sees it, and often, no one asks for it.

IoT doesn’t fail in the lab. It fails in the boardroom. It fails when:

  • Decision-makers don’t know what problem IoT solves
  • Internal champions give up after the pilot
  • Sales teams can’t explain it without five slides and a PhD

This hit hard. I’ve seen excellent IoT projects—solid tech, measurable impact—die quietly because there was no momentum to take them further.

Meanwhile, AI Took the Stage

Mangal makes a bold (and fair) comparison: AI and IoT were both hyped. But only one became mainstream.

Why?

Because AI built a tribe, it became aspirational. It had influencers, evangelists, podcasts, and memes. It was everywhere. IoT, on the other hand, stayed niche. It stayed quiet. It stayed technical.

It didn’t show off its wins. It didn’t shout. And that’s where we lost the game.

The Book Offers Solutions, Not Just Complaints

The best part isn’t just the diagnosis. It’s the prescription.

Mangal outlines 70 actions—from marketing to product strategy—that are refreshingly doable. No jargon. Just real advice:

  • Put “IoT” in your product name
  • Sell small and scale later
  • Educate the market like a campaign
  • Speak in stories, not specs
  • Make IoT visible in daily life

It sounds simple, but when did we last do any of that?

My Honest Take

This book isn’t for those looking for another buzzword to pitch. It’s for those tired of being invisible. It speaks to the founders, engineers, salespeople, and educators who want IoT to finally get the recognition it deserves, technically and publicly.

It made me reflect deeply on how I present, pitch, and teach IoT.

We can keep building great tech. But until we start creating awareness, IoT will remain a background actor in a play it should lead.

My Final Thoughts

Afzal Mangal didn’t just write a book—he wrote a mirror. If you’ve ever been frustrated with the slow progress of IoT adoption, this book gives you clarity—and a plan.

I highly recommend it to anyone in the IoT space, especially:

  • Startup founders
  • Product managers
  • Policy-makers
  • Tech educators
  • Marketers are trying to position IoT solutions

The industry doesn’t need more hype. It needs truth, clarity, and action.

This book delivers all three.

From Manual Logins to a Global Force: This is Favoriot 4.5

“Dr. Mazlan, I didn’t receive my password—boleh email balik?”

I still remember that message. One of our earliest users. Back when onboarding meant me, personally, typing out usernames and passwords… and emailing them. One. By. One.

No dashboard.
No billing.
No automation.
Just a dream—and a lot of copy-pasting.

Was it messy? Yes.
Was it worth it? Absolutely.

That’s where Favoriot was born—not in a boardroom, but in a Gmail inbox at midnight.

We Built It The Hard Way

Every support ticket? A lesson.
Every bug? A wake-up call.
Every confused user? A chance to rethink.

We didn’t have “customer personas.”
We had real people telling us, “This part tak faham…”
And that direct feedback shaped everything.

So we added what mattered:
✅ Visual dashboards
✅ Auto device creation
✅ Better user controls
✅ A real self-service platform

Eventually, we stopped emailing passwords.

And Then… We Grew

By version 3.0, Favoriot wasn’t a scrappy prototype anymore. It was real.

Today?
🌍 111 countries
👨‍💻 9,600+ developers
📱 13,000+ IoT apps

What’s wild? We have no idea what most users are building.
And you know what? We love that.

Favoriot is flexible enough for developers to use it their way—without us needing to micromanage or interfere. That’s the magic of a true IoT platform-as-a-service.

We Kept It Cheap—On Purpose

We priced it low. Dirt cheap, some said.

Because back then, IoT wasn’t mainstream.
We wanted students, hobbyists, and young startups to try.
To explore. To fail. To learn.
Without worrying about subscription fees.

That strategy worked.
It built trust. It built momentum.
And it got Favoriot where it is today.

But Let’s Be Real—It’s Time

Favoriot 4.5 isn’t a toy.
It’s a world-class platform.

We’ve benchmarked ourselves against the global giants.
We’ve made it faster, stronger, smarter.
And yes—it’s time the subscription reflects that.

Starting June 2025, our prices will change.

Why?
Because we’ve earned that seat at the table.
And we want to keep delivering the value you deserve.

But Here’s The Deal

If you subscribe before June—
You lock in the current price.
No surprises. No sudden hike.
Your loyalty gets rewarded.

To the Early Believers

If you’ve been with us since the manual days…
If you ever waited for your login in your inbox…
If you clicked “refresh” hoping we’d fix the bug…

Thank you.

Favoriot 4.5 carries your fingerprints.
We wouldn’t be here without you.

And we’re just getting started.

Let’s keep building the future of IoT—together.

Favoriot: A Marathon of Pivots, Perseverance, and Purpose

“This is going to be a game-changer!”

That was the spark that ignited our journey. In 2017, we embarked on a mission to revolutionize the Internet of Things (IoT) landscape in Malaysia. Our first stride? Raqib—a wearable device designed to ensure the safety and health of Umrah and Hajj pilgrims. It was more than just a product; it was a vision to provide peace of mind to individuals and their families during spiritual journeys.

KM 0–5: The Starting Line – Raqib’s Ambitious Launch

Launching Raqib felt like the exhilarating first kilometers of a marathon. The energy was high, the vision clear, and the team motivated. We believed in our product’s potential to make a significant impact. However, as with any long-distance race, the initial excitement soon gave way to unforeseen challenges.

KM 6–10: The First Hurdles – Technical Glitches and Market Realities

As we progressed, technical issues began to surface. The device faced unexpected glitches, and our marketing efforts didn’t yield the anticipated traction. It was a tough pill to swallow. But we weren’t ready to give up. We pivoted and introduced Favorsense, aiming to capture a different segment of the IoT market. Yet, despite our best efforts, it struggled to gain user interest.

“Where did we falter? What could we have done differently?” I often pondered during those challenging times.

KM 11–15: The Turning Point – Recognizing the Core Strength

Amidst these setbacks, a realization dawned upon us. The common thread between Raqib and Favorsense was the underlying platform that powered them. This platform, robust and versatile, had the potential to be more than just a backbone for our products. It could be the very product we needed to focus on.

I told the team, “This platform can be used by anyone who wants to develop their own IoT products. “

With renewed determination, we decided to pivot once more. We introduced the Favoriot IoT Platform to the public, offering it free to attract a broader audience. However, adoption was slower than expected. Despite creating tutorials and sharing resources, many users found it challenging to navigate the platform.

KM 16–20: Bridging the Gap – Introducing IoT Courses

Understanding the need for guidance, we launched IoT courses tailored to help users grasp the platform’s capabilities. These courses weren’t just about theory; they offered hands-on experience, enabling participants to apply their knowledge in real-world scenarios.

The response was overwhelmingly positive. Universities and polytechnics across Malaysia began integrating the Favoriot IoT Platform into their curricula. Students utilised it for their final-year projects, bringing innovative ideas to life.

“This is a significant achievement for us,” I expressed pridefully.

KM 21–30: Expanding Horizons – Building Partnerships

As we continued our journey, we recognised the importance of collaboration. We partnered with system integrators and enterprises, offering our platform’s cloud-based and enterprise-based models. This flexibility allowed clients to choose solutions that best fit their needs, further solidifying Favoriot’s position in the market.

KM 31–40: Gaining Momentum – Recognition and Growth

Our efforts began to bear fruit. Favoriot was no longer an unknown name in the IoT landscape. Out of 9,375 users (as of January 27, 2025), 80% came from our own country—a milestone that filled me with pride.

“We did it,” I told my team with a sense of accomplishment. “We’ve proven that we can compete with global platforms and carve out our own space.”

KM 41–42.195: The Final Stretch – Looking Ahead

Today, the Favoriot IoT Platform is a testament to resilience and adaptability. The journey has been a marathon from its humble beginnings with Raqib to becoming a cornerstone in IoT education and development. We’ve learned that setbacks aren’t failures but opportunities to pivot and grow.

As we look ahead, our vision is to take the Favoriot IoT Platform beyond Malaysia, reaching global audiences and empowering the next generation of IoT innovators.

“This is just the beginning,” I remind the team. The marathon continues, and we’re ready for the next leg of the race.

So, Startup or Marathon?

Startup is a marathon.

But with Favoriot, it’s not just about enduring.

It’s about leading, creating, and building something that lasts beyond the race.

And here’s the truth no one tells you:

The real finish line is when others start running because you did.

A New Chapter Begins: My Heartfelt Mission for Malaysia’s IoT Future

Alhamdulillah.
There are moments in life that make you pause. Not because you’re unsure—but because you feel the weight of something bigger than yourself. Being appointed as the Deputy Chairman of the Malaysia IoT Association is one of those moments for me.

I didn’t chase this title. It found me after years of walking the path—failing, building, sharing, writing, and dreaming about how technology could transform our nation. And now, I’ve been entrusted with a greater purpose: to carry the hopes of a growing community of changemakers and to help shape a future that belongs to every Malaysian.

This isn’t just a new role. It’s a calling.

This Land is Full of Potential

Malaysia is not short of talent. We are not short of ideas. But for far too long, we’ve been stuck in wait mode—waiting for foreign platforms, waiting for permission, waiting for funding. We must break that cycle. We must choose action.

Because Malaysia doesn’t need to follow trends anymore.
We have what it takes to create them.

The Role of IoT in Our Nation’s Story

Let’s get one thing straight—IoT is no longer about devices.

It’s about connecting hearts and systems.
It’s about bridging rural and urban, old and new, human and machine.
It’s about giving our nation eyes that can see in real time and ears that can listen before disaster strikes.

From the farms of FELDA to the traffic lights of KL…
From lecture halls to factory floors…
IoT is not just a tool. It’s a lifeline.

And what many don’t realise is—AI needs data.
But not just any data. It needs real-world, real-time, reliable data.
And IoT is the only way we can feed that intelligence.

A Personal Mission, A National Cause

So what do I see ahead?

I see a Malaysia that no longer depends on imported systems we don’t control.
I see homegrown platforms like FAVORIOT becoming the national backbone.
I see students graduating not with theoretical knowledge—but with hands-on IoT skills, certified and industry-ready.
Every Majlis Perbandaran has its own IoT dashboard, managing waste, lighting, traffic, and water in real-time.
I see SMEs embracing smart automation—not fearing it.

But more than anything…

I see people—living safer, healthier, and more connected lives.

The Time is Now

Some say we’re not ready yet.
But if we keep waiting for perfect conditions, we’ll never move.
Neither was Korea ready in the 1980s. Or China in the 1990s. But they moved.
And now the world watches them.

It’s our turn.
Let’s start messy. Let’s start small.
But most importantly—let’s start now.

To the Silent Fighters

To every young innovator quietly coding in a dorm room.
To every lecturer who buys sensors out of pocket to teach their students.
To every entrepreneur who builds despite rejection after rejection.

I see you.
And in this new role, I carry your hopes with me.

Let us walk this path together—not because it’s easy. But because it matters.

A Final Word from the Heart

This journey is no longer mine alone. It belongs to all of us who believe in a better digital Malaysia.

To those who built the foundation before me—thank you.
To my peers in MyIoTA and the wider tech community—I’m ready to stand with you.
And to the next generation—we’re building this for you.

Let’s make IoT not just a technology—but a legacy.
Let’s make Malaysia not just relevant—but revolutionary.

The future doesn’t wait.
And neither should we.

Bismillah. We begin.

Why Do Students Hire Outsiders to Do Their Projects?

A Response from an Educator, Entrepreneur, and Tech Education Advocate

“Why are students willing to pay outsiders to do their projects? What’s the root cause? Where did we go wrong?”

This question isn’t new. It has been raised many times in discussions between academics, industry players, and the tech maker community. But this time, it was addressed with raw honesty by a trainer who truly understands students — someone who has taught students, trained lecturers, and now works with industry professionals. I found the four points he raised very insightful, and I’d like to unpack them — not to dispute, but to build on the conversation with my own experience.

1. University Syllabi Don’t Offer Enough Hands-On Experience?

“Is this really true, or are we not seeing the bigger picture?”

I’ll admit — there’s some truth to this. Many students who’ve come to me for consultation, especially on IoT or Favoriot training, often complain that their final year projects had to rely on self-learning via YouTube because they lacked deep technical guidance.

“But… surely not all universities are like that?”

Exactly. Some universities have moved towards hands-on learning, especially polytechnics, vocational colleges, and certain engineering faculties that actively collaborate with industry. The real problem is inconsistency. Some still rely heavily on simulation — and in fields like IoT, AI, or robotics, learning without touching hardware is like trying to learn swimming on dry land.

When I trained university lecturers through our Train the Trainers program for IoT, I saw firsthand how much they wanted to shift to practical methods — but were sometimes constrained by equipment, budget, or institutional policies. That’s reality.

This is why platforms like Favoriot are designed to break those barriers — offering affordable, easy-to-access platforms that can be embedded into courses, enabling students and lecturers to work from basic projects to advanced real-time data integration.

2. Lecturers Can’t Identify Student Talents?

“Are we too busy to notice the potential blooming right in front of us?”

As a former lecturer, I understand the pressure — full lecture schedules, endless meetings, research deadlines, and admin tasks. It becomes almost impossible to personally assess each student’s potential — unless they step forward.

But that’s not an excuse.

I’ve learned something through running smaller classes. “When the group is small, it’s easier to spot who’s struggling, who’s excelling. But in a lecture hall with 100 students?” We need a system.

Some suggestions:

  • Use mini-projects at the beginning of the semester to diagnose technical aptitude.
  • Bring in industry mentors (like us at Favoriot) to support project work.
  • Offer microlearning platforms like IoT Academy as supplements, not just stick to lecture notes.

Talent has to be discovered — not waited on.

3. Students Chase Paper Qualifications Only?

“Grades matter. But is that the ultimate goal?”

Many students believe excellent CGPAs equal great jobs. But times have changed. Employers now care more about your portfolio than your transcript.

I’ve met students with perfect grades who can’t troubleshoot a sensor. But I’ve also seen average students who build working temperature-monitoring systems with Telegram alerts using Favoriot — and are now working with real IoT startups.

This isn’t about who’s smarter, it’s about who’s brave enough to learn on their own.

That’s why we always encourage students to start with mini-projects early in the semester. Better to fail early and learn fast. We must build a culture of “learn by doing, fail fast, recover faster.”

4. Universities Are Slow to Update the Syllabus?

I fully agree here. Technology evolves every six months — yet syllabi may only change every six years. Changing a curriculum isn’t easy — it requires senate approvals, academic committees, MQA validation, and more.

But I applaud technical institutions like TVET, polytechnics, and certain private colleges that quickly adopt new tech. Some don’t just teach “how to use,” but also “how to think.”

However, we can’t just create skilled workers. We need thinkers, problem-solvers, and future tech leaders — those who can build solutions, not just follow instructions.

That’s why Favoriot is more than just a data platform. It’s a thinking tool. A place where students ask:

  • How can I solve a real-world problem?
  • How does data help decision-making?
  • How can tech integration impact communities?

So… Is It Wrong for Students to Hire Outsiders?

I asked myself the same thing — is it the students’ fault or the system’s?

I don’t fully blame the students. Sometimes they panic, lack support, and just want to pass. I also don’t blame those who offer project services — sometimes that’s the only indirect way a student learns something.

“But… if a student pays and learns nothing — that’s the real problem.”

We need to change the narrative:

  • From “doing it just to pass” to “doing it to learn.”
  • From “copying projects” to “creating value.”

From Training Students to Training Lecturers to Training Industry

I understand what the original author meant when he said:

“I used to train students, then lecturers, and now industry staff…”

That’s the cycle. When students and lecturers reach a certain capability, they don’t need you anymore. And that’s not a loss — that’s a win.

I’ve experienced the same. When IoT becomes embedded in campus life, when the Favoriot dashboard becomes an official teaching tool — I know my mission is progressing. Even if I’m no longer invited, I quietly smile inside.

“Opportunities will always come — maybe not from the same place, but from the impact you’ve already planted.”

To close:

  • Students need more hands-on guidance.
  • Lecturers need time and tools to identify talent.
  • Universities need the courage to match industry demands.
  • And all of us must see education as more than just passing — it’s about living, contributing, and growing.

For those who help students — do it with the heart to teach, not just to earn. Let them learn — even if it’s through you.

One day, they will thank you — not for finishing their project, but for making them someone who can stand on their own and create value.

“That’s the real purpose of education. And that’s the legacy we should all strive to leave behind.”

The Birth of “IoT Man”: Why the Name Means More Than Just a Title

“You can call me IoT Man.”

That was the casual yet defining moment when I embraced the name—not just as a label but as a symbol of everything I’ve poured into it.

But before that nickname ever stuck, before anyone even recognized my face or my voice in the realm of smart cities and connected devices, I was just a curious kampung boy who loved science fiction, obsessed with The Jetsons, and dreamt of a future where machines talked to each other.

I didn’t know it then, but that fantasy would eventually become my destiny.

The Spark That Ignited It All

In the 70s, I grew up with dusty comics, DC superheroes, and futuristic cartoons that seemed out of reach. I was always asking questions: “How does that work?”, “What if buildings could talk?”, “Why can’t my bicycle tell me when its tire is flat?” You know… typical “crazy kid” questions no one took seriously.

But I took them seriously.

Years later, that same boy became an engineer, researcher, and executive, hopping across universities, government agencies, and corporate towers. I had the titles and the recognition—and yet, I felt something was missing.

I wasn’t building the future I dreamed about.

Until I stumbled upon three letters that changed everything: IoT.

To me, the Internet of Things wasn’t just a buzzword. It was the missing puzzle piece. It was like someone finally handed me the blueprint of the world I used to imagine as a child.

I dove headfirst into it. It became an obsession. No, scratch that — it became a mission.

Why the Name “IoT Man” Chose Me

People often ask me, “Did you give yourself that name?” No, I didn’t. It started as a whisper on social media.

I was posting daily. Articles, LinkedIn updates, tweets, TikToks — all about IoT. I shared failures, ideas, insights, and case studies. Some people rolled their eyes. “Dia ni tak habis-habis cerita pasal IoT.”

Others started to notice.

One day, someone tagged me in a post and wrote, “Here comes the IoT Man again.” At first, I chuckled. “Macam superhero pulak.”

But then it stuck. People started calling me that — students, entrepreneurs, CEOs, even strangers at conferences. I would introduce myself, and they’d say, “Oh! You’re the IoT Man!”

And honestly?

It warmed my heart every single time.

Because it meant they saw me, they saw what I stood for, and they recognized the fire I carried.

Why It’s More Than Just a Nickname

You see, “IoT Man” isn’t just a personal brand.

It’s a reminder that in a world flooded with noise, consistency still matters. If you keep showing up, keeping writing, and keeping sharing, people will notice.

It’s a tribute to every sleepless night I spent building FAVORIOT from scratch with a small team and big dreams, to every time I was told, “Malaysia’s not ready for IoT,” or “Smart Cities won’t work here.”

It’s a badge earned through trials, through countless rejections, postponed projects, budget cuts, technical failures, and platform bugs, and through restarting when others gave up.

“But what if this doesn’t work?” I often asked myself during those quiet, lonely moments.

“Then I’ll try again tomorrow,” I’d reply.

The name “IoT Man” represents that spirit.

The Responsibility That Comes With It

Being known as the “IoT Man” also means people expect answers, solutions, and inspiration.

And that’s not something I take lightly.

That’s why I started sharing knowledge for free through podcasts like Jom Pakai IoT, articles, TikTok videos, and books. I also train others, mentor startups, and advise universities.

Because I’m not just building a company. I’m building a movement.

A movement to make IoT accessible. To make Malaysia a global hub of smart innovations. To show the kampung boy in every corner of the country that yes, you can shape the future too.

Legacy Over Popularity

I don’t want to be remembered just as a CEO or engineer.

I want to be remembered as the guy who sparked a generation.

The one who didn’t just talk about the future — but built it.

The one who lifted others along the way, who simplified the complex, who wore the “IoT Man” cape not for show but to carry the hopes of students, makers, entrepreneurs, and dreamers.

Because at the end of the day, all I ever wanted was to make a difference.

Final Reflection: A Name, A Mission

Sometimes, I look in the mirror and ask myself, “Are you still worthy of that name?”

Some days, I feel I’ve done enough, and most days, I feel like I’m just getting started.

So, if you see me online or bump into me at a café or tech event, don’t hesitate to say hi. Just say, “Hey, IoT Man!”

I’ll smile. And I’ll know that the journey — every twist, every fall, every leap — has been worth it.

Because that name is no longer just about me.

It belongs to the mission.

And the mission still burns bright.

— Mazlan Abbas, your friendly neighborhood IoT Man. Let’s transform the world together!

The Fourth Industrial Revolution: The Future is Already Here!

“Are we ready for this transformation?”

I still remember the first time I heard the term “Fourth Industrial Revolution” or more commonly known as Industry 4.0. It sounded futuristic, like something straight out of a sci-fi movie—where robots rule the world, artificial intelligence (AI) makes all decisions, and automation is everywhere.

But the reality? We are already living in that era!

Before we panic and imagine ourselves being chased by rogue robots, let’s take a step back and understand how industrial revolutions have shaped the world.

From the First to the Fourth: The Evolution That Changed the World

History has witnessed four major industrial revolutions, each transforming human life in unimaginable ways:

  1. First Industrial Revolution (18th – 19th Century)
    • The invention of the steam engine changed everything. Factories replaced manual labor, and transportation improved dramatically. It was the birth of modern industry.
  2. Second Industrial Revolution (Late 19th – Early 20th Century)
    • Electricity became the new king. Assembly lines and mass production made goods cheaper and more accessible. Henry Ford’s automobile factories were the poster children of this era.
  3. Third Industrial Revolution (Mid-20th Century – Early 21st Century)
    • Computers, automation, and the internet revolutionized the workplace. Suddenly, information was just a click away, and digital transformation began.
  4. Fourth Industrial Revolution (Now!)
    • AI, the Internet of Things (IoT), 5G, blockchain, quantum computing—you name it. Machines are getting smarter, and decision-making is shifting from humans to algorithms.

Wait… Does This Mean Robots Will Take Over My Job?

This is the million-dollar question. The short answer: Yes and No.

Yes, because many repetitive manual tasks will be automated. If a machine can do it faster and better, why pay a human to do it?

No, because new jobs will emerge—roles we never imagined before. Who would have thought that “TikTok Content Strategist” or “Metaverse Architect” would be actual job titles?

The key here is adaptability. Those who embrace technology will thrive, while those who resist will struggle. It’s like complaining that smartphones are ruining society while using one to rant on social media.

How Industry 4.0 Affects Our Daily Lives

If you think Industry 4.0 only affects tech companies, think again. It’s already changing our everyday lives:

  • Smart Homes: Your fridge tells you when you’re out of milk, and your lights turn on when you enter the room. It’s like living in a sci-fi movie!
  • Healthcare – AI can detect diseases earlier than doctors, and robotic surgeries are becoming more common. Imagine getting medical advice from a chatbot instead of waiting hours in a clinic.
  • Education – Online learning, AI tutors, and personalized lessons replace traditional classrooms. No more boring lectures (hopefully).
  • Shopping—AI-driven recommendations make your online shopping ads feel creepily accurate. “How does it know I was thinking about buying a new phone?!”

The Funny Side of Industry 4.0

Despite all the advancements, some things about Industry 4.0 are just plain hilarious.

  1. The Smart Home Fiasco
    • Me: “Hey Alexa, turn off the lights.”
    • Alexa: “Turning off all the lights.”
    • Me: “Wait, not the WiFi—” (Everything shuts down, including my will to live.)
  2. AI Assistants That Are Not So Smart
    • Me: “Siri, what’s the weather like today?”
    • Siri: “I found some information about dinosaurs.”
    • Me: “…”

Are We Ready for This Future?

Industry 4.0 is not coming—it’s already here. The question is, how do we prepare for it?

  1. Learn New Skills – Coding, AI, data analytics, cybersecurity. The more you know, the better.
  2. Embrace Change – Don’t resist technology. Learn how to use it to your advantage.
  3. Be Creative – Machines can replace repetitive jobs but can’t replace human creativity.

Remember, the future belongs to those willing to adapt and evolve. So, are you ready?

Or are you still waiting for your smart fridge to stop judging your midnight snacks?