Business
Rewiring for Success: Unlocking the Potential of Generative AI in Asia
This article explores how Asian companies can capture generative AI’s potential value through organizational change, upskilling, and focusing on specific use cases.
Published
11 months agoon
By
AIinAsia
TL;DR: Generative AI Potential in Asia
- Companies must undergo organisational surgery to capture the value of generative AI (gen AI)
- Upskilling talent, forming centralised teams, and ensuring data quality are crucial for success
- Focusing on specific use cases and responsible scaling will drive a competitive advantage.
Introduction: The Gen AI Reset
The time for a generative AI (gen AI) reset is upon us. As initial enthusiasm gives way to recalibration, companies must learn from past digital and AI transformations to build organisational and technological capabilities that drive innovation at scale. With 2024 poised to be the year gen AI proves its worth, firms should focus on rewiring their businesses for distributed innovation.
The Path to Success: Organisational Surgery and Scaling
Companies eager to achieve early wins with gen AI must act quickly, but recognise that the process requires significant organisational change. A Pacific region telecommunications company exemplifies this approach, hiring a chief data and AI officer to drive innovation and implementing cross-functional product teams to develop a gen AI tool for home servicing and maintenance.
In this article, we explore the capabilities necessary for implementing a successful gen AI program at scale, drawing from our experiences and lessons learned.
Finding Your Edge: Gen AI Copilots and Competitive Advantage
To gain a competitive edge, companies must identify where gen AI copilots can enhance their priority programs:
- Understand the difference between being a “taker,” “shaper,” or “maker” of gen AI technology
- Focus on productivity improvements as a “taker” while building “shaper” applications for competitive advantage
- Target domains where copilot technology can have the most significant impact
Upskilling and Talent Acquisition: Gen AI-Specific Skills
Upskill your workforce with gen AI-specific skills, such as model fine-tuning and prompt engineering, and consider hiring experienced senior engineers to accelerate your efforts. Key practices for building capabilities include apprenticeship, training, and fostering communities of practitioners.
Centralised Teams and Responsible Scaling
Establish a centralised team to develop protocols and standards, enabling responsible scaling across the organisation. This team should focus on:
- Procuring models and prescribing access methods
- Developing data readiness standards
- Setting up approved prompt libraries
- Allocating resources
Technology Architecture and Scaling
Building a gen AI model is just the beginning; making it operational at scale is the ultimate goal. Focus on three core decisions to simplify and speed up processes:
- Reuse technology and create a source for approved tools, code, and components
- Enable efficient connections between gen AI models and internal systems
- Prioritise testing and quality assurance capabilities
Data Quality and Unstructured Data
Harness the power of your data to fuel gen AI models:
- Improve data quality and augmentation efforts targeted at specific AI/gen AI applications
- Unlock value from unstructured data by mapping valuable sources and establishing metadata tagging standards
- Optimise data infrastructure to lower costs at scale
Conclusion: Embracing the Gen AI Revolution
As the gen AI landscape evolves rapidly, companies must adapt and learn to capture its value. By focusing on specific use cases, upskilling talent, and driving responsible innovation, organisations can rewire their businesses for long-term success.
Comment and Share On Generative AI’s Potential in Asia
How is your organisation preparing to embrace the generative AI revolution, and what steps are you taking to ensure you stay ahead of the competition? Share your thoughts in the comments below.
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DeepSeek vs. Silicon Valley: How a Chinese AI Startup is Outpacing Global Giants
How DeepSeek, a Chinese AI startup, is challenging Silicon Valley’s dominance with innovative, resource-efficient AI technology. Learn why Asia is the next big thing in AI.
Published
2 hours agoon
January 28, 2025By
AIinAsia
TL;DR:
- DeepSeek, a Chinese AI startup, has unveiled the R1 model, which can self-improve without human supervision, challenging resource-heavy methods favoured by Silicon Valley.
- Asia’s growing tech ecosystems, like those in China, Singapore, and India, are proving that homegrown talent and focused R&D can compete globally.
- China is projected to dominate 26% of the $15.7 trillion AI market by 2030, showcasing its rapid rise as an AI powerhouse.
When you think of cutting-edge AI development, Silicon Valley probably comes to mind first—home to giants like OpenAI, Google, and Meta. But here’s a twist: a relatively small Chinese startup, DeepSeek, is making waves with its groundbreaking AI innovations, leaving some of the West’s biggest names playing catch-up.
How is DeepSeek pulling this off with fewer resources? Let’s dive into their secret sauce and why this matters for Asia—and the world.
The Underdog Story: DeepSeek’s R1 Model
DeepSeek recently unveiled details about its R1 model, which can self-improve without human supervision. Yes, you read that right. Their AI doesn’t just rely on training data—it learns, refines, and grows all on its own. This marks a shift from resource-heavy methods favoured by Silicon Valley to something far more efficient.
Unlike the West, where AI labs have access to near-limitless funding, DeepSeek operates with lean resources. This forces them to be laser-focused on optimising their tools. It’s a story of innovation through necessity—and one that tech hubs in Asia can learn from.
As The Financial Times explains:
“DeepSeek’s ability to make strides with limited computing power and localised talent pools underscores the growing sophistication of Chinese AI development.”
Why DeepSeek Matters for Asia
DeepSeek’s success sends a strong message: you don’t need Silicon Valley’s mega budgets to make a global impact. For countries like India, Indonesia, and even Singapore, this demonstrates that homegrown talent and focused R&D can compete on a global stage.
Asia is already leading in digital innovation—look at the rise of super apps like Grab and Gojek, or how TikTok has reshaped the social media landscape. DeepSeek’s approach could pave the way for other regional startups to disrupt industries, from healthcare to fintech, with AI-driven solutions.
The Global AI Chessboard: What’s at Stake?
This isn’t just a “cool tech story.” It’s about the shifting dynamics of global AI power. For years, the narrative has been: Silicon Valley leads, everyone else follows. But DeepSeek’s R1 model—and its bold claim to challenge Western dominance—flips that script.
According to a report by PwC, AI could contribute $15.7 trillion to the global economy by 2030, with China expected to take nearly 26% of that share. That’s $4 trillion—just from China.
It’s clear that Asia is not just participating in the AI race; it’s positioning itself to lead it.
Lessons for Asian Startups
DeepSeek’s story holds valuable lessons:
- Efficiency is Key: You don’t need a $500 billion budget to innovate (looking at you, OpenAI). Focused, resourceful development can yield incredible results.
- Local Talent Wins: DeepSeek’s reliance on regional talent highlights the untapped potential in Asia’s growing tech workforce.
- Think Global, Build Local: DeepSeek’s model shows that even regionally focused projects can have global implications.
The Road Ahead
DeepSeek’s trajectory raises questions: Can other Asian startups replicate this success? Will the global AI stage see more “DeepSeeks” rising from unexpected places? One thing is certain: Silicon Valley should keep an eye on Asia—not just as a market but as a competitor.
But here’s a question for you: With AI innovation heating up across Asia, are you ready to keep pace with the latest breakthroughs? Stay ahead of the curve by subscribing to our free AIinASIA newsletter, where we deliver cutting-edge insights, trends, and stories like this straight to your inbox. Don’t miss out—sign up today and join the conversation!
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Business
ByteDance’s Big AGI Gamble: What Does It Mean for Asia?
ByteDance’s new Seed Edge initiative takes on Artificial General Intelligence (AGI). How will this bold move reshape AI innovation across Asia?
Published
2 days agoon
January 26, 2025By
AIinAsia
TL;DR
- ByteDance, the TikTok powerhouse, has launched Seed Edge to dive into Artificial General Intelligence (AGI)—AI that can think and learn like a human.
- This move aligns with China’s goal of leading the global AI race, backed by its $28 billion AI industry.
- ByteDance faces challenges like chip shortages and stricter data laws, but is turning constraints into innovative solutions.
What’s ByteDance Up To?
So, ByteDance—the TikTok juggernaut that’s practically taken over your screen time—is taking on something a little bigger than dance challenges and viral sound bites. They’ve launched Seed Edge, a research initiative to crack the code on Artificial General Intelligence (AGI).
For context, AGI isn’t your regular AI that just recommends what to binge-watch next (although, let’s be real, TikTok does that very well). This is AI that can think, reason, and problem solve like a human. Imagine an AI assistant that can help you with complex tasks, not just scheduling meetings or telling you the weather.
ByteDance is basically saying, “We’ve nailed short-form videos—now let’s try reshaping the future of intelligence.” Casual, right?
Why Now?
This isn’t some random tech experiment. ByteDance’s timing is chef’s kiss perfect. Here’s why:
- China’s AI Goals: China wants to own the AI game by 2030, and they’re putting their money where their mouth is. The country’s AI industry is already worth a cool $28 billion and is projected to hit $50 billion by 2027. ByteDance is clearly jumping on this momentum.
- Staying Competitive: With OpenAI and DeepMind making waves globally, ByteDance is making sure they’re not just following trends—they’re setting them.
The Roadblocks Ahead
Of course, it’s not all smooth sailing. Here’s what ByteDance has to tackle:
- Tech Tensions: US-China rivalry means limited access to high-end chips—the lifeblood of advanced AI.
- Data Laws: Global data regulations are tightening, which isn’t great news for a company that thrives on, well, data.
But here’s the plot twist: these challenges are forcing innovation. ByteDance and its peers are now focused on building smaller, more efficient AI models that don’t rely on massive computing power. In other words, they’re turning lemons into cutting-edge lemonade.
Why Should Asia Care About Bytedance’s Artificial General Intelligence?
This isn’t just about ByteDance—it’s about the ripple effect. AGI could unlock game-changing possibilities across the region. Think:
- Smarter healthcare solutions tailored to individual needs.
- Education tools that adapt to how you learn.
- Entertainment experiences that feel almost too personalised.
And let’s not ignore the competition it’ll spark. When one big player like ByteDance makes a bold move, others in the region are bound to up their game.
Final Thoughts
ByteDance’s Seed Edge isn’t just a tech announcement—it’s a loud, clear signal that Asia isn’t just a participant in the AI race. It’s here to lead.
So, what do you reckon? Is AGI the future we’ve been dreaming about, or just a shiny buzzword for now? Drop your thoughts—I’d love to hear them.
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Business
5 Ways Humanoid Robots Are Streamlining iPhone Manufacturing
Discover how humanoid robots are revolutionising iPhone production with UBTech and Foxconn’s groundbreaking partnership. From the Walker S1 robot to futuristic upgrades, see how advanced robotics are transforming manufacturing efficiency.
Published
3 days agoon
January 25, 2025By
AIinAsia
TL;DR:
- UBTech and Foxconn are teaming up to bring humanoid robots into iPhone production.
- The Walker S1 robot is already showing what it can do, and upgrades to the Walker S2 promise even more.
- This partnership is shaking up manufacturing efficiency, addressing labour challenges, and redefining how electronics are made.
When it comes to producing the world’s most popular smartphone, Foxconn isn’t just pushing buttons—they’re rewriting the rulebook. With UBTech Robotics, they’re putting humanoid robots to work on iPhone production lines, setting a new gold standard in tech-powered manufacturing.
Curious? Here are five jaw-dropping ways these humanoid robots are flipping the script on factory floors.
1. Walker S1: A Tech Marvel in Action
The Walker S1 is not your average factory bot. After completing training in Shenzhen (yes, even robots need a training programme!), it’s heading to Foxconn’s facilities to take on tasks like:
- Carrying up to 16.3 kilos while staying perfectly balanced.
- Tackling complex jobs like sorting, assembling vehicles, and inspecting quality.
This isn’t just automation; it’s sophistication. Think of the Walker S1 as the ultimate multitasker who never takes a coffee break.
2. The Walker S2: Upgraded and Ready to Impress
The Walker S1 is just the beginning. UBTech is planning to roll out the Walker S2 with upgrades that sound straight out of a sci-fi movie:
- Better hands: Enhanced dexterity for assembling those tiny iPhone components.
- Smarter brains: Advanced AI for faster learning and task adaptation.
- More muscle: Greater payload capacity, possibly over 20 kilos.
- Sharper eyes: Improved vision systems for flawless inspections.
- Team player vibes: Better collaboration with humans and Foxconn’s other machines.
Imagine this robot as a genius coworker who lifts, learns, and doesn’t need lunch.
3. UBTech + Foxconn: The Dream Team
This isn’t a one-off project. UBTech and Foxconn have committed to a long-term partnership with big ambitions, including:
- A joint R&D lab for inventing smarter robots.
- Pilot programmes to test new manufacturing scenarios.
- Next-gen solutions for more efficient and sustainable production.
Together, they’re rethinking what “made by robots” means in the real world.
4. Smarter, Faster, Cheaper Production
Why is this partnership such a game-changer? Because it hits the holy trinity of manufacturing:
- Labour savings: No more scrambling to fill labour shortages.
- Cost cuts: Automation means lower production costs.
- Quality boosts: Robots handle precision work with fewer errors.
The takeaway? Expect your next iPhone to be made faster and smarter—and maybe even more affordably.
5. Setting the Bar for Robotics Partnerships
The UBTech-Foxconn partnership isn’t just shaking up the iPhone assembly line. It’s redefining the role of humanoid robots in industries far beyond consumer electronics. How? By:
- Scaling humanoid robots for high-volume production.
- Showing other industries how to integrate advanced robotics.
- Creating a ripple effect that could make these robots more accessible (think cars, appliances, and beyond).
It’s not just innovation—it’s a whole new industrial revolution.
So, What’s Next?
With UBTech and Foxconn rewriting the playbook, humanoid robots aren’t just here to stay—they’re here to dominate. The big question is: Will the rest of the manufacturing world keep up? Or are we heading for a robotics divide between companies who adapt and those who don’t?
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