
TMA Fintech Newsletter 2024
Welcome to TMA Fintech Newsletter. Please contact biz@tma.com.vn for detailed information.
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Fintech Events
In 2024, TMA Solutions joined many fintech events to share experiences and solutions to Finance & Insurance community.
Vietnam Fintech Summit 2024

Mr. Cuong Bui, Head of TMA Fintech Center, shared TMA's experiences in applying Generative AI in finance, banking and insurance including best practices in data security.
Singapore Fintech Festival

This year TMA Fintech Center continue joining Singapore Fintech Festival and introduced innovative AI-powered solutions in finance and insurance.
The Vietnam Retail Banking Forum 2024

TMA shared experiences in applying AI and Web3 to innovate finance and insurance operations.
Expanded Fintech Portfolio
In 2024, TMA Fintech Center has expanded its portfolio by leveraging AI and Web3 to develop innovative solutions to optimize operations, enhance client experiences, and deliver smarter solutions to address modern financial challenges.

Finance Document Intelligence: Automate financial document processing with AI to reduce errors, improve accuracy, and boost efficiency.
Finance Report Generation: Create accurate, actionable financial reports with AI tools that refine data and highlight key insights.
AI and OCR for E-Invoice Processing: Streamline e-invoice workflows with AI-powered OCR for faster validation, compliance, and integration.
AI Chatbot for Financial Services: Enhance client service with 24/7 AI chatbots for inquiries, guidance, and transactions.
Finance Document Intelligent


Description
A solution that utilizes Azure AI Services and advanced machine learning to automate document processing. It can accurately extract text, key-value pairs, tables, and other structures from financial documents, reducing the reliance on manual intervention.

Functions
- Processes data from multiple sources, including files (PDFs, images), emails, and FTP servers.
- Applies pre-trained Azure AI models to classify and extract critical data with high accuracy.
- Enhances data by integrating with Azure OpenAI and other services for additional analysis, rule-based processing, and exception handling.
- Generates insights and reports through Power BI and Azure Search for better decision-making.

Technologies
- Azure AI Services
- Azure Open AI
- Power BI
- Azure Web Application Firewall

Benefits
- Automates repetitive document processing tasks, significantly reducing processing time and manual workload.
- Delivers precise data extraction with confidence scores over 95%, minimizing errors.
- Reduces operational costs by streamlining document handling and reducing manual input.
- Capable of handling large volumes of documents, ensuring seamless performance as demands grow.
Web3 APIaaS Platform


Description
A Web3 API as a Service (APIaaS) platform for external applications to access and utilize the advantages of blockchain technology, providing a bridge between the applications and blockchain infrastructure.

Functions
- Provides a platform for configuring and launching APIs to interact with blockchain.
- Facilitates the deployment and interaction with smart contracts on blockchain networks like Ethereum, IOTA, and Shimmer.
- Ensures secure communication through encryption of payloads between applications and blockchain.
- Manages load balancing and ensures the platform can scale to handle growing transactions and demands.

Technologies
- IOTA
- Ethereum framework
- Smart Contract
- Shimmer Network

Benefits
- Makes it easier for applications to deploy and interact with smart contracts and blockchain networks.
- Ensures secure transactions and communications with payload encryption and smart contract security.
- Supports multiple blockchain networks, providing versatility in choosing the right blockchain for different use cases.
Token Exchange Platform


Description
A blockchain solution built on Uniswap V4 allows users to swap, bridge tokens and provide liquidity.

Functions
- Swap tokens
- Bridge tokens across multi-chains
- Purchase tokens with Fiat currency
- Provide concentrated liquidity
- Adjust liquidity positions flexibility

Technologies
- Typescript
- Next.js
- Subsquid SDK
- GraphQL
- Postgres

Benefits
- Traders can swap tokens with lower fees across multiple chains, and buy tokens directly.
- Liquidity providers can optimize capital usage to increase returns.
Financial Report Generation


Description
Automate detailed financial reports with customized writing style, tables, charts, and AI-driven insights.

Functions
- Automates financial report generation using AI-driven tools.
- Processes and analyzes financial data and predictions from Excel files.
- Generates detailed reports with tables, charts, and graphs.
- Integrates insights, analytics, and predictions into reports.
- Customizes reports based on individual analysts' styles.
- Provides detailed explanations and summaries of financial data.

Technologies
- Python
- PowerBI
- Machine Learning & AI
- Data Analytics

Benefits
- Saves time by automating the report creation process.
- Reduces errors through AI-based financial data processing.
- Enhances decision-making with actionable insights and analytics.
- Improves adaptability with reports tailored to specific needs.
- Ensures scalability and consistency in financial reporting.
- Facilitates better understanding with clear visualizations and detailed analysis.
Credit Scoring System


Description
Enhance the existing credit risk and scoring model for a lending institution by applying AI to improve the evaluation of creditworthiness and optimize decisions on loan terms, amounts, interest rates, and repayment periods.

Functions
- Uses Amazon SageMaker for model retraining, cataloging, and experimentation.
- Generates and evaluates credit scores based on AI/ML models.
- Provides insights for decisions on loan terms, amounts, interest rates, and repayment periods.

Technologies
- Data Analytics, ETL
- Machine Learning
- AWS S3, Redshift, Lambda, Glue, RDS, DynamoDB, SageMaker

Benefits
- Easily update with new data and models for continuous improvement.
- Ongoing retraining and evaluation improve model accuracy over time.