Why Writing Feels Like Running a Marathon

It all started with a simple comment from a friend: “Writing on a Blog is a marathon, not a sprint.” That line stuck with me. It echoed in my mind like the rhythmic pounding of footsteps on the pavement. It made me pause and think—he’s right. Writing isn’t a quick dash to the finish line. It’s an endurance game. A long race.

I often compare life to the activities we do. Maybe it’s my way of making sense of things. And the more I thought about it, the more it made perfect sense: writing on this Blog feels like running a marathon.

The Starting Line: Hesitation and Excitement

I remember the day I decided to write for this blog. There was no grand announcement or dramatic decision. It was more like an itch—a slight, persistent urge to share my thoughts on IoT and smart cities, which have consumed my professional life.

“Will anyone even read this?” I wondered. The same nervous question runners ask themselves as they stand at the starting line, surrounded by experienced athletes with years of effort etched into their confident postures.

That feeling? Overwhelming. But I started anyway.

Finding Your Rhythm: The First Few Kilometers

In the running, the first few kilometres are deceptive. The excitement tricks you into thinking you can sprint the whole way. But reality sets in quickly. The excitement fades, and you’re left with nothing but your breathing, the sound of your footsteps, and the mental battle against self-doubt.

Writing is the same. My first few articles barely got any views. I’d refresh the stats page often, hoping for a miracle.

“Why aren’t they reading?” Frustration bubbled up. But then I remembered: the first kilometres aren’t about speed; they’re about finding your rhythm.

Each article became a step forward, a chance to refine my voice. It wasn’t about the views. It was about showing up, day after day, word after word.

Small Wins: The First Checkpoint

One day, I posted an article about IoT applications in agriculture. I wasn’t expecting much, but then a comment appeared.

“This is exactly what I was looking for. Thank you!”

That small comment felt like crossing my first marathon checkpoint. Someone was reading, and someone found value in my words.

“Keep going,” I told myself.

That simple acknowledgement shifted everything. I stopped focusing on metrics and started writing because I enjoyed it.

Preparation: The Invisible Work

No marathoner wakes up and decides to run 42 kilometres without training. They prepare, practice, and test their limits.

Writing is no different.

“Do I really have to do this every day?” I’d groan, staring at a blank screen, especially when ideas were hard to find.

But I knew the truth: consistency beats talent. Skipping one day makes it easier to skip the next. So, I wrote. Even when the words felt forced. Even when the drafts were not my best.

Those drafts? They were my practice runs. Not pretty, but necessary.

Pacing: The Art of Sustainability

In a marathon, going too fast too early guarantees burnout. Writing has its version of this, too. At one point, I tried writing articles daily, thinking more output would lead to success.

Spoiler alert: it didn’t.

I learned to slow down, revisit drafts, and refine my ideas. Quality mattered more than quantity. It was like perfecting my stride, finding that balance where effort meets ease.

The Crowd: Finding Support

No marathoner runs alone. There are fellow runners, spectators, and coaches cheering you on.

For me, that support came from the Blog community—fellow writers, readers, even the occasional critic.

I’ll never forget the day I received a message from another writer: “Your story inspired me to start my own business. Thank you for sharing.”

That message? It was my crowd, cheering me on when I needed it most.

Hitting the Wall: The Toughest Part

Every marathon has “the wall”—that dreaded moment when exhaustion hits, and quitting feels like the only option.

For me, that wall was writer’s block. Days when ideas refused to come. When motivation disappeared, leaving only a nagging sense of failure.

“Why am I even doing this?” I’d mutter.

But then I’d remember: you don’t stop because you’re tired. You stop when you’re done.

The Finish Line: A New Beginning

Looking back, I realise writing and running a marathon are deeply personal activities. They test your limits, reveal your strengths, and force you to confront your weaknesses.

But they also offer immense rewards.

Today, as I continue to write, each article feels like another kilometer in the marathon. Some are effortless. Others are tough uphill battles.

But with each word, I grow stronger.

Someone once asked me, “Would you do it all over again?”

Without hesitation, I said, “Absolutely.”

Writing has given me resilience, discipline, and the joy of connection. It has reminded me that success isn’t in the destination—it’s in the process.

So here I am, still running this marathon, one article at a time.

And just like every marathoner knows, the finish line isn’t the end. It’s just the start of another challenge.

The Story Behind Favoriot – Part 7: The Task of Finding Favoriot’s First 10 Customers

They say the first real breakthrough for any startup is securing ten paying customers. It sounds simple, doesn’t it? Just ten. But the journey to reach that number felt like climbing Mount Everest—without oxygen.

I still remember the day we got our first paid Favoriot subscription. The notification popped up, and I felt a rush of disbelief. “We did it!” I shouted loud enough to startle a few birds outside the window. My team and I were ecstatic, high-fiving like we’d just won a championship. For a moment, it felt like the floodgates had opened.

But reality had other plans.

Why Is It So Difficult?

Late at night, I found myself lost in thought, asking the universe, “Why is it so hard?” Was our product not good enough? Did it fail to solve real problems? Was our pricing scaring people off? My brain became a broken record, playing these questions on a loop.

We tweaked the product, experimented with pricing models, and added new features. “This has to work,” I thought after every adjustment. But the results? Meh. Crickets.

Then, I started comparing Favoriot with other platforms like ThingSpeak and Blynk. “Why do they have so many users?” We even offered free subscriptions, thinking it would open the floodgates. However, only about 5% of free users converted to paid plans. While that conversion rate wasn’t terrible, it wouldn’t pay the bills either.

A New Strategy

“Maybe we’re looking at this all wrong,” I wondered during our team meetings. That’s when it hit me—what if we bundled Favoriot with something people already wanted?

So, we paired the Favoriot platform with our IoT courses. “Let’s give them value beyond just the platform,” I suggested. And guess what? It worked. Slowly but surely, interest grew. We weren’t just selling software anymore; we offered a learning journey.

But we didn’t stop there. We introduced the Enterprise Favoriot IoT platform with a perpetual license. This was a game-changer. System Integrators loved owning the platform outright without worrying about subscription renewals.

“This feels right,” I thought, cautiously optimistic. And for once, my optimism paid off.

Lessons Learned

This rollercoaster taught me a few things:

  1. Getting the first 10 customers is brutal. It’s like trying to push a car uphill with flat tyres. But every small win counts. “Celebrate the little victories,” I always tell my team.
  2. A great product isn’t enough. You can build the most advanced platform in the world, but if it doesn’t solve a real problem, it’s just digital clutter. “Understand your customers’ pain points,” I remind myself daily.
  3. Pricing is tricky. Too high, and you scare people off. Too low, and you undervalue your product. It’s a balancing act—like seasoning a dish just right.

Moving Forward

With the new Enterprise Favoriot IoT package, our confidence grew. “This is just the beginning,” I told my team. We’d faced countless challenges, but each one taught us something valuable.

Success doesn’t show up overnight with a bow on top. It demands persistence, creativity, and a healthy dose of stubbornness. We’ll keep refining, learning, and evolving. Because that’s what startups do—we adapt.

Hopes for the Future

When I reflect on our journey, pride wells up. “We didn’t give up,” I whisper to myself during quiet moments. Our story is far from over. In fact, it’s just getting interesting.

I dream of Favoriot becoming a leading IoT platform in Malaysia and globally. And I believe we’ll get there—not through luck, but through relentless effort and the unwavering support of people who believe in us.

To everyone who’s been part of our journey—thank you. “Without your support, we wouldn’t be here,” I say from the bottom of my heart.

Favoriot’s story is one of grit, growth, and endless possibilities.

More Entrepreneurship Stories

  1. The Story Behind Favoriot – Part 6: Expanding The Business Models
  2. The Story Behind Favoriot – Part 5: Finding the Right Fit
  3. The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform
  4. The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around
  5. The Story Behind Favoriot – Part 2: Turning Failures into Milestones
  6. The Story Behind Favoriot – Part I: The Humble Beginnings of Favoriot
  7. Building My Personal Brand: The Stepping Stone to Favoriot’s Success
  8. From Research Lab Critiques to Startup Pitches: My Slide Story
  9. The Illusion of RFPs in the IoT World: Managing Expectations as a Startup
  10. Favoriot’s Odyssey: Navigating the Rough Waters of Early Revenue

The Story Behind Favoriot – Part 6: Expanding The Business Models

The Birth of an Idea: Favoriot’s B2C Beginning

When I first launched the Favoriot IoT platform, I had a simple vision: to create a platform that anyone could use—students, hobbyists, tinkerers—you name it. The idea was to make IoT accessible to the masses, a B2C service that would ignite curiosity and inspire innovation.

I thought, “If we can get people talking about Favoriot, the rest will follow.” That belief fueled our early strategy. We dove headfirst into social media, the digital town square where everyone seemed to gather. Facebook was buzzing, YouTube was the tutorial hub and TikTok? Well, that was the wild frontier—so, of course, I gave it a shot.

The Social Media Experiment

I became the face of our promotions, posting updates on Facebook, creating YouTube videos, writing blog articles, and yes, even attempting TikTok. It was thrilling at first—seeing those likes, shares, and comments roll in. People were curious, intrigued by what Favoriot could do.

But soon, a nagging question crept in: “Why isn’t this translating into actual platform usage?” The buzz was there, but the conversions weren’t. It hit me—generating interest is one thing, but sustaining it requires more than social media posts.

The eBook Revelation

That’s when an old passion of mine resurfaced: writing. “What if I wrote an eBook?” I wondered. It would not be just any technical manual but something that painted the bigger picture—how IoT could transform industries and shape the future, and yes, how Favoriot fits into all of this.

I poured my heart into that eBook. It wasn’t just about IoT protocols or sensor networks; it was a narrative about the power of connected technologies. Subtly, I wove Favoriot into the storyline, highlighting its features and potential. Once it was done, we decided to offer it for free.

The Breakthrough: Global Reach

And guess what? It worked. The eBook spread like wildfire. I remember staring at the download stats, thinking, “This is it. This is the breakthrough.”

But success has a way of revealing new challenges. With global interest came diverse expectations. Users wanted more—advanced features, scalability, and enterprise-grade security. It became clear: our B2C model had hit a ceiling.

Pivoting to B2B: A Bold Decision

Cue the sleepless nights. “Should we pivot to B2B? What if it doesn’t work out?” The questions were relentless. But growth demands evolution. After countless discussions with my team, we made the leap.

We transitioned Favoriot into a B2B platform, offering on-premise and private cloud installations. This shift opened doors to system integrators and organizations who handled complex IoT projects with high data demands. We even introduced a game-changing perpetual license—a one-time purchase granting lifetime access. “This could be a game-changer,” I thought. And it was.

The Impact of the B2B Model

The B2B model didn’t just diversify our revenue; it solidified our market position. We provided a ready-made, scalable IoT solution, eliminating the need for companies to build platforms from scratch.

Since 2017, Favoriot has evolved dramatically from a humble B2C platform to a versatile solution serving both individual developers and large enterprises. A defining moment? MOSTI officially recognized Favoriot as a Malaysian local product by awarding it the MySTI certification. It was more than a certification—it was validation.

Reflecting on the Journey

Looking back, I see a journey marked by resilience, adaptability, and an unwavering belief in our vision. But this isn’t the end. In Part VII, I’ll delve into the challenges we face as we aim to deepen our footprint in Malaysia.

The road ahead is long, but with the lessons we’ve learned and the incredible team by my side, I’m confident Favoriot will continue to thrive.

Stay tuned. Favoriot’s journey is far from over.

More Stories About Entrepreneurship

  1. The Story Behind Favoriot – Part 6: Expanding The Business Models
  2. The Story Behind Favoriot – Part 5: Finding the Right Fit
  3. The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform
  4. The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around
  5. The Story Behind Favoriot – Part 2: Turning Failures into Milestones
  6. The Story Behind Favoriot – Part I: The Humble Beginnings of Favoriot
  7. Building My Personal Brand: The Stepping Stone to Favoriot’s Success
  8. From Research Lab Critiques to Startup Pitches: My Slide Story
  9. The Illusion of RFPs in the IoT World: Managing Expectations as a Startup
  10. Favoriot’s Odyssey: Navigating the Rough Waters of Early Revenue

The Story Behind Favoriot – Part 5: Finding the Right Product Market Fit (PMF)

The Struggles No One Sees

I still remember how challenging it was to secure our first ten customers. Ironically, even though we initially offered the Favoriot Platform for free, it wasn’t easy to attract interest. Free should be irresistible, right? But it wasn’t.

I often sat at my desk, staring at my laptop late into the night, asking myself questions that gnawed at my confidence:

“Is all this effort going to be in vain?”
“What if the market doesn’t embrace the product we’ve poured our hearts into?”

These thoughts weren’t fleeting. They lingered, casting shadows over my team’s tireless days and nights dedicated to building Favoriot. I knew I couldn’t let them down. Their belief in this mission was unwavering, and as their leader, failure felt personal.

The Search for Traction

Market traction — a simple phrase with monumental weight. For startups, it’s the lifeline. Without it, even the most brilliant products fade into obscurity.

Our first strategy was to target individuals—university students, freelancers, and tech enthusiasts. I thought, “Surely, they’d be eager to experiment with our platform.” But reality hit hard. The response was underwhelming, to say the least.

So, we pivoted. “Maybe university lecturers will see the value,” I thought. They supervise students working on IoT projects; surely, Favoriot could be an asset in their toolkit.

Again, disappointment. The traction we hoped for didn’t materialize. That nagging anxiety crept back in. “What else can we do?” I kept asking myself.

Shifting Focus: From Individuals to Enterprises

Determined not to give up, we shifted our strategy. Instead of individuals, we approached companies and organizations directly. Businesses must see the potential, right?

Wrong.

Another hurdle emerged — most companies didn’t know how to utilize the platform effectively. It was as if we were speaking a language they hadn’t learned yet. “Are we too early to the market?” I wondered. Maybe the IoT landscape wasn’t mature enough in Malaysia at that time.

In the startup world, there’s a term: Product-Market Fit (PMF). It’s the sweet spot where your product perfectly aligns with market needs. Without PMF, even the best ideas crumble.

I knew this. And the pressure was immense.

The Breakthrough: Finding Our True Customers

But giving up wasn’t an option. We kept refining our approach, learning from every failed pitch and cold response.

Eventually, the breakthrough came.

We discovered that IoT System Integrators were our ideal customers. These were companies and individuals already offering IoT solutions to their clients. They didn’t just understand the value of our platform; they needed it to build scalable, customized IoT applications.

It felt like finding the missing piece of a puzzle. Suddenly, the conversations flowed more naturally, the demonstrations clicked, and the value proposition was crystal clear.

Tailoring the Offering: Cloud vs. Enterprise Models

With clarity came strategy. We introduced two models for the Favoriot Platform:

  1. Cloud-Based Model
    • Perfect for customers seeking flexibility and remote accessibility.
  2. Enterprise-Based Model
    • Designed for System Integrators wanting full control over their platforms, this model comes with a perpetual license and unlimited API access, eliminating the worry of high API costs that platforms like AWS or Azure often impose.

This dual approach worked. Favoriot finally carved out its space in the IoT ecosystem.

A Glimpse of Relief, A Promise to Evolve

I’d be lying if I said I didn’t feel relieved. But this wasn’t the finish line — far from it. The tech landscape evolves rapidly, and staying relevant requires continuous innovation.

Yet, this breakthrough gave me something invaluable: confidence. I felt confident that Favoriot had a future and that our journey, filled with detours and lessons, was leading somewhere meaningful.

What’s Next?

This isn’t the end of the story. Not even close.

In the next part, I’ll share how we expanded our customer base, the unexpected sectors that embraced Favoriot, and the strategies we used to win their hearts.

So, stay with me on this journey. Every step we take has a story—a story that might inspire those who are walking the challenging path of building something from nothing.

See you in the next chapter.

More Stories About Entrepreneurship

  1. The Story Behind Favoriot – Part 6: Expanding The Business Models
  2. The Story Behind Favoriot – Part 5: Finding the Right Fit
  3. The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform
  4. The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around
  5. The Story Behind Favoriot – Part 2: Turning Failures into Milestones
  6. The Story Behind Favoriot – Part I: The Humble Beginnings of Favoriot
  7. Building My Personal Brand: The Stepping Stone to Favoriot’s Success
  8. From Research Lab Critiques to Startup Pitches: My Slide Story
  9. The Illusion of RFPs in the IoT World: Managing Expectations as a Startup
  10. Favoriot’s Odyssey: Navigating the Rough Waters of Early Revenue

The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform

I never planned for Favoriot to be more than just an internal tool.

Back when we first started developing the platform, it was purely out of necessity. We weren’t thinking about commercializing it. We just needed a reliable way to manage IoT data, and the existing platforms? They just didn’t cut it. Too rigid, too limited, and definitely not built with our specific needs in mind.

So, we decided to build our own.

I still remember that moment vividly—one of those late-night discussions with my team, fueled by frustration and too much coffee.

“Why are we wasting time forcing a square peg into a round hole?” I said. “Let’s just create something that actually works for us.”

And just like that, Favoriot was born.

At first, it was just for us—a solution to our own headaches. We never imagined it would one day be used by universities, students, or businesses. That wasn’t even on our radar. But then, something kept bothering me.

The Eye-Opener: Why Are We Using Foreign Platforms?

Every time I gave an IoT lecture at a university, I saw the same thing. Students were using foreign platforms like ThingSpeak and Blynk.

At first, I brushed it off. But then, it hit me—why were we relying so much on platforms from outside Malaysia? Didn’t we have something just as good, if not better?

That thought gnawed at me for weeks.

“We have this amazing platform,” I told my team. “Why aren’t we making it available to students and researchers here?”

The more I thought about it, the more sense it made. If we could offer Favoriot as a local alternative, students wouldn’t have to rely on foreign tools. So, I started introducing it in my lectures, offering free access to encourage students to use it in their projects.

I was optimistic. Maybe a little too optimistic.

The Harsh Reality: No One Was Interested

Despite our efforts, students weren’t biting. They continued using ThingSpeak and Blynk. I couldn’t figure it out.

“What are we doing wrong?” I asked myself.

Then it hit me—content.

Those platforms had an overwhelming amount of learning resources. Tutorials, YouTube videos, step-by-step guides. Everything a beginner needed was right at their fingertips.

Favoriot? Not so much.

It wasn’t that students didn’t want to use our platform; they just didn’t know how. Without accessible tutorials, they naturally gravitated toward platforms with a smoother learning curve.

That realization stung.

Taking Matters Into My Own Hands

At first, I thought, Maybe I can get students to create tutorial videos.

Wrong.

Most weren’t comfortable putting themselves out there as content creators. And honestly, I understood. It’s not easy to create educational content, especially when you’re just starting.

So, I made a decision.

“If no one else is going to do it, then I will.”

We started producing our own YouTube tutorials, pushing Favoriot on TikTok, and making the platform more accessible. It wasn’t easy, and it took time, but I knew it was the only way forward.

At first, progress was slow.

I had my doubts.

Is this even worth it? Are we just shouting into the void?

But I held on. If I’ve learned anything from this journey, it’s that persistence pays off.

The Turning Point: From Struggle to Recognition

Bit by bit, Favoriot started gaining traction. More students began using it, and word started to spread. But the real breakthrough? That came when external organizations started noticing us.

Suddenly, Favoriot wasn’t just an educational tool—it was being used in agriculture, industry, smart cities, and security systems.

I remember watching it all unfold, feeling both humbled and proud.

“Alhamdulillah,” I whispered. But deep down, I knew—this was just the beginning.

We didn’t stop there. We worked on differentiating Favoriot, adding unique features that platforms like ThingSpeak and Blynk didn’t offer. We weren’t just another IoT platform anymore. We were a better IoT platform.

What’s Next?

The journey hasn’t been easy. We’ve faced rejection, setbacks, and moments of self-doubt. But every challenge has taught us something valuable.

And this story? It’s far from over.

In Part 5, I’ll dive deeper into the specific challenges we faced, the roadblocks we overcame, and the key moments that shaped Favoriot into what it is today.

The best is yet to come.

More Stories About Entrepreneurship

  1. The Story Behind Favoriot – Part 6: Expanding The Business Models
  2. The Story Behind Favoriot – Part 5: Finding the Right Fit
  3. The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform
  4. The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around
  5. The Story Behind Favoriot – Part 2: Turning Failures into Milestones
  6. The Story Behind Favoriot – Part I: The Humble Beginnings of Favoriot
  7. Building My Personal Brand: The Stepping Stone to Favoriot’s Success
  8. From Research Lab Critiques to Startup Pitches: My Slide Story
  9. The Illusion of RFPs in the IoT World: Managing Expectations as a Startup
  10. Favoriot’s Odyssey: Navigating the Rough Waters of Early Revenue

How AI Democratization by Alibaba is Changing the World—And Why It Matters to You

Artificial intelligence felt like it belonged only to big tech companies for years—something out of reach for the average developer, startup, or business. If you didn’t have millions in funding, good luck getting access to advanced AI models. But that’s starting to change, and one of the most significant moves in AI democratization is coming from an unexpected player: Alibaba.

AI for Everyone, Not Just the Tech Giants

Recently, Alibaba’s Qwen 2.5-Max has been making waves. This AI model has been outperforming DeepSeek-V3, which was once seen as one of the strongest players in the field. While DeepSeek is struggling with issues like cost-cutting and sustainability, Alibaba is doubling down on AI, and investors are taking notice.

But the real story here isn’t just about market competition—it’s about who gets access to AI. Instead of keeping Qwen locked up behind a paywall, Alibaba did something bold: they made it open-source. That means anyone—from solo developers to small businesses—can use, modify, and build on top of Qwen’s technology for free.

This is a big deal.

Why Open AI Matters to You

Imagine trying to build a house, but the best tools and materials are only available to a few rich contractors. That’s what AI has felt like for a long time—unless you were Google, Microsoft, or OpenAI, you were stuck using whatever basic tools were available.

Alibaba is changing that. They’ve released over 100 models from the Qwen 2.5 family, allowing people all over the world to build AI-powered applications. Whether you’re working on a smart farming system, a chatbot for customer service, or an AI-driven medical assistant, you now have access to tools that were once only available to billion-dollar companies.

AI That Speaks Your Language

Here’s something even more impressive: Qwen supports 29 languages.

Most AI models are designed with English speakers in mind. If your native language is Malay, Tamil, Arabic, or Swahili, you often have to struggle with AI that doesn’t understand cultural nuances or local dialects.

Alibaba is breaking down that barrier by ensuring AI works for more people, in more parts of the world. This is especially important for businesses and communities that have been left behind in the AI boom. Now, a small startup in Malaysia or a research team in Nigeria can build AI-powered solutions tailored to their own markets—without being forced to work in English.

The Real Meaning of AI Democratization

So, what does AI democratization actually mean? It means leveling the playing field. It means that AI isn’t just a tool for the rich and powerful—it’s something everyone can use.

Alibaba’s move with Qwen is a clear sign that we’re entering a new era. No longer is AI something that’s locked away in Silicon Valley. Instead, it’s becoming a tool that developers, businesses, and creators from all over the world can use to solve real problems.

What’s Next?

The question now is: Will other big tech companies follow Alibaba’s lead?

Will they keep their AI models behind closed doors, available only to those who can afford them? Or will they embrace the idea that AI should be accessible to all?

Whatever happens next, one thing is clear: AI is no longer just for the elite. It’s for you, me, and everyone who dares to dream big and build something new.

And that’s a future worth getting excited.

More AI Stories

  1. Who Will Lead the AI Race? Alibaba, DeepSeek, or OpenAI?
  2. How AI Democratization by Alibaba is Changing the World—And Why It Matters to You
  3. ChatGPT, CoPilot, Gemini, Grok, Perplexity, Claude & DeepSeek: Which One Should You Choose?
  4. Why Building AI and IoT Products Locally Can Save a Country
  5. Why IoT and AI Are the Backbone of a Nation’s Technological Sovereignty
  6. Top AI Tools for 2025: Boosting Efficiency Across Various Domains
  7. DeepSeek vs NVDIA: How China Build Their AI Sovereignty

Why IoT and AI Are the Backbone of a Nation’s Technological Sovereignty

I often wonder what truly defines a nation’s strength in today’s digital world. Is it the size of its economy, its military prowess, or the natural resources it possesses? While all these play a role, I believe that a country’s real power lies in its ability to control and innovate its own technology. At the heart of this technological sovereignty are two game-changing forces: the Internet of Things (IoT) and Artificial Intelligence (AI).

We are entering an era where data is the new oil and intelligence is the new currency. Nations that fail to embrace AI and IoT risk becoming mere consumers rather than leaders in the global tech race. The question is: Will we take charge of our technological destiny, or will we remain dependent on foreign players for our critical infrastructure? Let’s explore why IoT and AI are not just smart devices and automation but also securing our future.

1. The Battle for Data Control and National Security

Technology is no longer just about convenience; it’s about sovereignty. The more we rely on foreign AI models and IoT infrastructures, the more we expose our data, businesses, and government operations to external threats.

Owning Our Data: The First Step to Sovereignty

I’ve always believed that data is a nation’s most valuable resource. Just like oil fueled the Industrial Revolution, data is fueling the digital revolution. But imagine if a country had to depend on foreign companies to extract, refine, and distribute its oil. It would be at the mercy of external forces. The same applies to data.

With AI and IoT, we can take charge of our data. Local data centres, secure cloud computing infrastructures, and homegrown AI models ensure that our national data stays within our borders and is protected from cyber threats and foreign surveillance.

Preventing Foreign Surveillance and Cyber Threats

Cybersecurity threats are real. We risk exposing sensitive information to external parties whenever we use a foreign AI-powered application or cloud-based IoT system. Governments, businesses, and even individuals can become targets of cyber espionage. Malaysia’s Cyber Security Act 2024 is a step in the right direction, ensuring our digital assets remain protected. But laws alone are insufficient—we need the technological infrastructure to support these policies.

Investing in sovereign AI and IoT solutions ensures that our government, military, and critical industries are shielded from external interference.

2. Economic Growth and Global Competitiveness

Technological sovereignty is not just about security—it’s about economic independence. The nations that control their AI and IoT ecosystems will shape the future of global industries.

Job Creation and Economic Empowerment

One of the most inspiring developments in Malaysia has been the influx of tech investments to build local AI and IoT capabilities. Companies like Google and Oracle are pumping billions into Malaysia’s digital economy. Google’s $2 billion investment in a new cloud and AI region will create over 26,500 jobs and contribute $3.2 billion to the country’s GDP by 2030. On the other hand, Oracle is investing $6.5 billion to establish its cloud region in Malaysia.

These aren’t just numbers. They represent real opportunities—high-paying jobs for our youth, local innovation hubs, and a digital economy that doesn’t rely on foreign tech dominance.

Building Our Own Technology Ecosystem

Relying on foreign technologies means giving control of our economic future to external entities. But when we develop our AI-powered IoT systems, we create an ecosystem that is resilient, self-sustaining, and globally competitive.

Take the example of Malaysia’s AI Park—a $1 billion investment by India’s Eros Investments. It’s not just about developing AI models; it’s about setting up an entire industry that will support local entrepreneurs, researchers, and businesses in the AI and IoT space.

3. AI-Driven National Decision-Making

AI isn’t just about robots and automation—it’s about making intelligent decisions at a national level. From predicting economic trends to managing city infrastructures, AI allows governments to plan with precision.

Smart Governance and Public Services

Imagine a government where AI can predict and manage traffic congestion, optimize public transport, and even analyze healthcare trends to prevent disease outbreaks before they happen. With IoT sensors collecting real-time data and AI models processing it, governments can make data-driven, efficient, and responsive policies.

Malaysia’s National AI Office is a significant step in this direction. By creating an AI-first policy framework, we are moving towards an intelligent, proactive, and future-ready governance model.

4. Strategic Autonomy in Emerging Technologies

AI and IoT in Smart Cities and Agriculture

One of the most exciting applications of IoT and AI is in smart cities and agriculture. A self-reliant nation must feed itself, sustain itself, and protect itself. IoT-driven precision farming can help Malaysia ensure food security by monitoring soil quality, automating irrigation, and predicting weather patterns to maximize crop yields.

Smart city projects powered by AI can reduce energy consumption, improve waste management, and even prevent crime through intelligent surveillance systems. The less we depend on foreign companies to build these infrastructures, the more control we have over our cities and resources.

5. Resilience Against Geopolitical Risks

Avoiding Foreign Tech Restrictions

What happens when a country suddenly loses access to a critical technology because of geopolitical tensions? We’ve seen how trade restrictions can cripple industries overnight. Countries that are overly dependent on foreign technologies risk sudden disruptions in essential services and infrastructure.

Take AI chips, for example. The US-China tech war has shown us how a simple export restriction can paralyze entire industries. If Malaysia or any other country wants to future-proof its technological capabilities, it must invest in developing its own AI chips, cloud services, and IoT ecosystems.

A Self-Reliant Digital Economy

A nation’s strength is measured by its ability to stand independently. AI and IoT empower countries to build a self-reliant digital economy not easily shaken by external forces. By controlling our own cloud platforms, AI models, and IoT networks, we reduce our vulnerability to external trade wars and policy shifts.

Final Thoughts: The Road to True Digital Independence

The future belongs to those who control their own technology. AI and IoT are not just tools but the foundation of a nation’s economic, security, and governance infrastructure.

If Malaysia continues on this path—investing in local AI research, securing its IoT infrastructure, and building sovereign digital policies—we will not only compete in the global tech race but also lead it.

We are at a crossroads. Should we take charge of our future or allow others to dictate our technological destiny? The choice is ours.

DeepSeek vs NVDIA: How China Build Their AI Sovereignty

The recent developments in the global technology landscape highlight a pressing need for countries and organisations to rethink their dependency on external technologies. NVIDIA’s staggering loss of $432 billion in market value in just a single day, driven by the rise of the Chinese AI startup DeepSeek, serves as a cautionary tale. DeepSeek’s disruptive advancements have shaken the foundations of major American tech companies and caused ripples across the global market, wiping out over $2 trillion in value.

But what does this mean for us as a society? These events are not just numbers—they are lessons that underline the importance of building our own technology capabilities.

The Reality of Dependency

When nations or industries heavily rely on external technologies, they place themselves vulnerable. The case of NVIDIA illustrates how a single external factor—a competitor with disruptive innovations—can lead to catastrophic consequences.

DeepSeek’s ability to replicate advanced AI technologies like ChatGPT with just a fraction of the cost and resources is a prime example of what can happen when a new player enters the game.

The dominance of companies like OpenAI, which spends over $100 million to train an AI model, has been disrupted by DeepSeek’s efficient model, built for just $6 million.

This highlights a glaring issue: while reliance on established tech giants may seem convenient, it can be detrimental in the long term if alternatives arise or access is restricted.

The Geopolitical Factor

Geopolitics often plays a significant role in accessing technology. Restrictions, sanctions, and bans are too common in the tech industry as countries compete to maintain dominance.

Relying solely on foreign technology means being at the mercy of these geopolitical dynamics. A single ban can halt progress, cripple industries, and leave entire sectors scrambling for alternatives.

The Lesson from DeepSeek

DeepSeek’s rise is an excellent example of how investing in local talent and resources can lead to groundbreaking achievements. By developing their technology independently, they have challenged global leaders and shown the world that innovation does not require exorbitant budgets.

This should inspire others to invest in homegrown talent and create ecosystems that encourage innovation.

The Role of Governments and Businesses

To avoid over-reliance on external technologies, governments and businesses must:

  1. Invest in R&D: Encourage research and development in cutting-edge technologies, providing grants and incentives to innovators.
  2. Build Talent Pipelines: Develop educational programmes focusing on future technologies like AI, IoT, and robotics.
  3. Collaborate Locally: Foster collaborations between universities, startups, and industries to drive innovation.
  4. Strengthen Infrastructure: Create an ecosystem that supports tech development, from affordable cloud services to secure data centres.

A Call for Technological Sovereignty

Technological sovereignty is not about isolating oneself from global advancements but about ensuring resilience and independence.

By reducing dependency on external technologies, we can safeguard against disruptions caused by bans, restrictions, or competitive threats.

Conclusion

The world is changing rapidly, and the recent events surrounding NVIDIA, DeepSeek, and the broader tech market highlight an essential truth: relying solely on external technologies is a risk we cannot afford to take.

The solution lies in fostering a culture of innovation, investing in local talent, and building resilient ecosystems that can withstand global disruptions.

The future belongs to those who can adapt, innovate, and lead.

It’s time to take control of our technological destiny.

The question is: are we ready?

The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around

The Beginning of a Daunting Journey

In 2019, we officially launched our self-developed IoT services with high hopes. The FAVORIOT IoT platform was our pride and joy—a product we believed could transform how data is collected, processed, and visualized. Yet, reality hit us hard. No one wanted to use it.

I still remember the sting of those early days. We offered our platform for free to the first ten customers to gain traction, but even that didn’t work. “Why doesn’t anyone want to use our platform?” I would ask myself almost every night.

It wasn’t just a passing thought but an all-consuming question that kept me awake. Was our product flawed? Did we miss something crucial?

The truth was more complicated to accept than I imagined. The issue wasn’t with our product’s functionality or potential—it was the lack of understanding about IoT itself. People didn’t know how to use an IoT platform because they didn’t know what IoT could do for them. This was not just a technical problem but a knowledge gap that needed bridging.

Planting Seeds of IoT Awareness in Universities

I’ve always believed that education is the foundation of progress. As an Industry Advisory Panel member at several universities, I saw an opportunity to address this knowledge gap. In meetings with lecturers and deans, I passionately advocated for curriculum changes.

We need to teach students how to use IoT technology more systematically,” I said repeatedly. “It’s not just about theory; it’s about hands-on experience.”

Slowly, my efforts began to bear fruit. Universities started incorporating IoT-focused courses into their programs, and students were introduced to connected devices. Knowing that a new generation of tech-savvy individuals was emerging was a proud moment for me.

But just when I thought the tides were turning, I encountered another challenge.

Why Not Favoriot?

Despite the growing interest in IoT, many students opted for platforms like Blynk and ThingSpeak for their final-year projects. It was disheartening to see them bypass Favoriot. I couldn’t help but wonder, “Why aren’t they choosing us? What does our platform lack compared to these alternatives?

It wasn’t just about competition—it was about understanding what made those platforms more appealing. I realized that we needed to work harder to showcase Favoriot’s value, unique features, and potential to become the preferred IoT platform for students and professionals.

Introducing Favoriot to the World

Determined to make a change, I began organizing seminars and workshops to introduce the Favoriot IoT Platform to the public. Each event allowed me to share my vision and educate participants about the platform’s capabilities.

I would stand in front of the audience, often a mix of students, lecturers, and industry professionals, and speak with passion:

This platform is not just for students. It’s for professionals and large companies, too. It’s designed to support larger R&D projects and commercial applications.”

The road wasn’t easy, but gradually, people started paying attention. They saw the potential in Favoriot—not just as another IoT platform but as a solution tailored to meet diverse needs.

The Turning Point

By 2024, our persistence began to pay off. 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.

The Favoriot IoT Platform is now widely used for collecting data in larger R&D projects and commercial applications. It has become a trusted tool for those who see the power of IoT in solving real-world challenges.

Reflections and Looking Ahead

As I reflect on this journey, I can’t help but feel grateful for the challenges we faced. They taught us resilience, creativity, and the importance of education in driving technological adoption.

But our story doesn’t end here. Favoriot is still evolving, and we’re just scratching the surface of what’s possible. We aim to expand beyond Malaysia, reach users worldwide, and continue empowering individuals and organizations with IoT solutions.

This journey is a testament to the power of perseverance and the impact of believing in your vision. I say to anyone facing challenges in their entrepreneurial journey, don’t give up.

Every obstacle is an opportunity to learn, grow, and return stronger.

Stay tuned for the next chapter of our story, where I’ll share how Favoriot continues to innovate and expand its reach.

More Stories About Entrepreneurship

  1. The Story Behind Favoriot – Part 6: Expanding The Business Models
  2. The Story Behind Favoriot – Part 5: Finding the Right Fit
  3. The Story Behind Favoriot – Part 4: How Favoriot Became More Than Just an IoT Platform
  4. The Story Behind Favoriot – Part 3: Why No One Wanted Our IoT Platform—And How We Turned It Around
  5. The Story Behind Favoriot – Part 2: Turning Failures into Milestones
  6. The Story Behind Favoriot – Part I: The Humble Beginnings of Favoriot
  7. Building My Personal Brand: The Stepping Stone to Favoriot’s Success
  8. From Research Lab Critiques to Startup Pitches: My Slide Story
  9. The Illusion of RFPs in the IoT World: Managing Expectations as a Startup
  10. Favoriot’s Odyssey: Navigating the Rough Waters of Early Revenue

15+ Must-Have AI Tools for Master’s and PhD Students – From Research to Writing!

If you are a Master’s or PhD student, here is a list of useful AI tools for your study and research work.

How things have changed with AI. Studying and research are becoming much more effortless.

A) Search Engine for Researchers

  1. Consensus
    https://consensus.app/
  2. SciLynk
    https://www.scilynk.com
  3. Scinapse
    https://scinapse.io
    3.Perplexity
    https://www.perplexity.ai
  4. Semantic Scholar
    https://www.semanticscholar.org
  5. OpenAlex
    https://openalex.org

B) To Answer Research Questions

  1. Claude
    https://www.anthropic.com/claude
  2. ChatGPT
    https://chat.openai.com

C) For Literature Review

  1. Iris
    https://theiris.ai
  2. Elicit
    https://elicit.org
  3. Inciteful
    https://inciteful.xyz
  4. Research Rabbit
    https://www.researchrabbit.ai
  5. Connected Papers
    https://www.connectedpapers.com
  6. Keenious
    https://keenious.com/
  7. Google Scholar
    https://scholar.google.com/
  8. Litmaps
    https://app.litmaps.com/

D) For Reading Research Articles

  1. SciSpace
    https://typeset.io
  2. Scholarcy
    https://www.scholarcy.com

E) To Assist in Writing

  1. Paperpal
    https://paperpal.com/

The list Credit to Pendakwah Teknologi