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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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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in enabling chatbots to understand and process patient queries effectively. Developers must focus on the following:

Training Data: Start by gathering extensive datasets that include real-life medical queries and patient conversations. This ensures that the chatbot can recognize various intents and respond appropriately.

Multi-language Support: Healthcare is global, so building multi-lingual capabilities is critical. Using tools like Google’s BERT or Microsoft’s Turing-NLG models can help chatbots understand context in different languages.

Contextual Understanding: The chatbot must not just respond to individual queries but also maintain the context across the conversation. Developers can use contextual models that preserve the state of the conversation, ensuring personalized patient interactions.

2. Security and Compliance

Healthcare chatbots handle sensitive patient information, making security a top priority. Developers must ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe. Key practices include:

  • Data Encryption: All communication between the chatbot and the server must be encrypted using protocols like TLS (Transport Layer Security).
  • Authentication Mechanisms: Implement two-factor authentication (2FA) to verify patient identity, especially for sensitive tasks like accessing medical records.
  • Anonymization: To avoid accidental data breaches, ensure that the chatbot anonymizes data where possible.

3. Seamless Integration with EHR Systems

For chatbots to be truly effective in healthcare, they must integrate seamlessly with Electronic Health Record (EHR) systems. This requires a deep understanding of healthcare APIs like FHIR (Fast Healthcare Interoperability Resources) or HL7. Developers should aim to:

  • Enable Real-time Updates: Ensure that chatbot interactions (e.g., new appointment schedules, and symptom checks) are instantly reflected in the patient’s EHR.
  • Avoid Data Silos: Ensure that all systems (EHR, chatbot, scheduling system) can communicate with each other, eliminating data silos that can lead to fragmented patient information.

4. Scalability and Performance Optimization

In healthcare, downtime can be critical. Developers need to ensure that chatbots are scalable and capable of handling thousands of patient interactions simultaneously. Using cloud-based platforms (AWS, Google Cloud) that offer auto-scaling capabilities can help. Additionally, performance optimization can be achieved by:

  • Caching Responses: Store frequently used responses (such as FAQs) in memory to speed up interaction times.
  • Load Balancing: Implement load balancers to distribute incoming queries across servers, ensuring no single server is overwhelmed.

Tools and Platforms for Building Healthcare Chatbots

Several tools and platforms can aid developers in building healthcare chatbots with conversational UIs:

  1. Dialogflow (Google): Offers pre-built healthcare intents and integrates with Google Cloud’s healthcare APIs.
  2. Microsoft Bot Framework: A scalable platform that integrates with Azure services and offers AI-driven insights.
  3. Rasa: An open-source NLP tool that provides flexibility in creating highly customized healthcare bots.

Conclusion

Conversational UI in healthcare is transforming patient care by offering real-time, scalable, and personalized interactions through chatbots. However, for developers, building these systems goes beyond programming chatbots — it involves understanding the unique challenges of healthcare, from regulatory compliance to seamless integration with hospital systems. By focusing on NLP capabilities, ensuring security and privacy, and integrating with existing healthcare infrastructure, developers can create chatbots that not only enhance patient interaction but also alleviate the burden on healthcare providers.

References

  1. NLP in Healthcare: Opportunities and Challenges
  2. HIPAA Compliance for Chatbots

About the Author:

Shristi is a creative professional with a passion for visual storytelling. She recently transitioned from the world of video and motion graphics to the exciting field of product design at Mantra Labs. When she’s not designing, she enjoys watching movies, traveling, and sharing her experiences through vlogs.

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