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State of Metaverse-based ecosystems in Fin-Tech

3 minutes read

Paris Hilton has a Roblox virtual island where people can buy digital versions of her outfits. Accenture will onboard 1,50,000 new hires using Metaverse. Metaverse has been the talk of the town since Facebook changed its name to Meta. Let’s look at how metaverse-based ecosystems in Fin-Tech is transforming customer experience (CX).

Global metaverse market size will touch $678.8 billion by 2030, witnessing a CAGR of 39.4%, reveals research and markets. CB Insights’ research predicts that metaverse could represent a $1T market by 2030. Industries are working to create a reality in which the physical and digital worlds blend seamlessly. 

Where Fin-Techs are heading to in the Metaverse-based ecosystem?

European bank ABN Amro was the first to open a virtual branch in Second Life created in 2003. Earliest ventures into the metaverse were primarily motivated by branding and visibility which is now shifting to the mainstream. Metaverse application has moved beyond gamification to virtual training and life-like experiences. We’re moving towards a future where digital lives are becoming more important.

Razorfish and Vice Media Group’s new study shows that Gen Z spends more time in metaverse space than older demographics. They develop more meaningful connections to their online identities and want realistic experiences in their virtual life. For organizations, it becomes highly imperative to understand how these customers connect, interact and interface in this virtual space.

According to JP Morgan’s research, the metaverse offers opportunities to:

  • Transact – every year, $54bn is spent on virtual goods, almost double the amount spent buying music. 
  • Socialize – approximately $60bn messages are sent daily on Roblox.
  • Create – GDP for Second Life was around $650m in 2021 with nearly $80m dollars paid to creators. 
  • Own – NFT currently has a market cap of $41bn.
  • Experience – 200 strategic partnerships till date with The Sandbox, including Warner Music Group to create a music-themed virtual world.

Metaverse has limitless opportunities to offer. Let’s look at some of the top use cases of metaverse in the financial industry.

  1. Recently Lynx announced two use cases: a cryptocurrency-based game that allows players to create and earn and sell digital items with financial value, and an “enhanced remittance experience”, a digital meeting space that allows those sending money to loved ones to visit and communicate with them in a “streamlined, entertaining, economical, and secure” manner.
  2. Navi Technologies has unveiled a metaverse-based “Fund of Funds” scheme. The investors will finance Exchange-Traded Funds (ETFs), which will be used to fund metaverse-based companies. The fintech aims to invest $1 billion in total across multiple assets, with a maximum investment of $300 million in a single ETF. The company will issue a NAV unit at a face value of INR 10. For example, a customer investing INR 500 in the plan, will receive 50 units across the ETFs that Navi will be investing in.
Navi Technologies
  1.  JP Morgan is the first bank to open a lounge- Onyx in Decentraland. In the Onyx Lounge, situated in Metaiuku–a virtual replica of Tokyo’s Harajuku shopping area, a tiger roams the first floor, overlooked by a portrait of the bank’s boss Jamie Dimon. And on the 2nd floor, a person’s avatar can watch experts talk about crypto market.
JP Morgan's Onyx
  1. Korean Bank Kookmin introduced a ‘virtual financial town’ that includes three spaces: (1) The financial and business center consists of branches, public relations and recruitment booths, auditoriums, and social spaces. 

(2) The telecommuting center enhances communication and collaboration between telecommuters and office employees. 

(3) A playground for interacting.

Kookmin Banks' Virtual Financial Town

Source: donga.com/news

  1. Bank of America is the first to launch VR training in over 4,300 financial centers. They use VR headsets to practice skills like strengthen and deepen customer relationships, handle difficult conversations, and listen and respond with empathy. “Managers can also detect skill gaps and provide tailored follow-up training and customized counseling to colleagues to further boost performance using real-time statistics,” the bank says.

The Road Ahead

Decentraland operates via its own cryptocurrency called MANA and Sandbox has Sand. Somnium Space has its own asset marketplace where users can choose to ‘live forever. 

The financial sector is facing intense competition in the virtual space. Digital assets and digital currency are becoming increasingly prevalent in the metaverse. Leveraging the meta-world will help financial organizations create a continuum of experience for the users and provide more personalized and engaging interactions in the time ahead.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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