TMA actively organized and participated in local and global AI events to share insights on innovative AI solutions across various industries.
AI as a Service
After several months of preparation, TMA and True IDC – a cloud provider, have launched AI as a Service with many cloud-based AI solutions for businesses.
AI Seminars
In the last quarter, TMA AI Center organized four AI seminars with more than 900 participants.
K-ICT WEEK 2024
TMA participated in K-ICT WEEK 2024 in Busan, showcasing innovative AI, Fintech, and Healthcare solutions.
AI for Healthcare Pharmedi 2024
TMA was the keynote speaker in AI for Healthcare seminar, Vietnam International Medical Exhibition - Pharmedi Vietnam 2024.
AI for Business Contest
Innovation Contest: AI for Business
Following the success of the AI Hackathon, TMA launched the "Innovation Contest: AI for Business” across three categories: AI for Enterprise, AI for Industry, and AI for Engineering. Within the first month, more than 50 ideas have been registered.
AI Training
AI Training Program
In the last quarter, 100% of TMA’s engineers passed AI training program, one quarter ahead of the comprehensive 2-year AI training program (2023-2024).
AI Certificates
In Quarter 3/2024, TMA’s engineers added more than 40 AI certificates.
An on-premise LLM framework enables businesses to discover and leverage the knowledge in corporate documents and databases and quickly build enterprise generative AI applications.
This platform allows users to access and interact with a wide range of documents.
Functions
Allow integration of multiple LLM models to enhance flexibility and performance based on application needs.
Facilitate API integration to connect with external systems and services for improved functionality and data exchange.
Support parsing of various document formats, including PDF, Word, PPTX, and images, for comprehensive knowledge extraction.
Technologies
Ollama
OpenAI
MS Azure
Anthropic
NLP and chatbot frameworks
Benefits & Applications
Ensure security and privacy from local data.
Rapid development of enterprise generative AI applications.
On-Premise Enterprise Data Platform
Description
An on-premise platform designed to centralize enterprise data from various sources, enabling businesses to streamline operations, enhance decision-making, and support a wide range of analytical and operational needs.
Functions
Aggregate data from various sources, including databases, applications, and external data feeds, into a centralized repository.
Apply Data LakeHouse architecture for storage, management, and analysis of structured and unstructured data.
Implement high-speed data processing with advanced algorithms for rapid data crunching.
Enable analytics and reporting capabilities to support informed decision-making across the organization.
Technologies
Data LakeHouse
Azure AI
SQL database
Benefits & Applications
Ensure security and privacy from on-premise model.
Accelerate data processing times.
Eliminate data silos and enhance data accessibility.
Support diverse data workloads.
Semantic Search
Description
A semantic search solution designed to aggregate and connect data from multiple sources, providing clients with comprehensive insights into product knowledge, technical support, and personalized data.
Built to enhance customized search, it ensures data ingestion, transformation, and intelligence for a seamless user experience.
Functions
Aggregate and integrate product knowledge, technical support, and personalized data from diverse sources.
Enable data ingestion and transformation for smooth data flow and observability.
Support customized search functionality, improving the relevance and accuracy of search results.
Technologies
MS Azure
OpenAI
Scrapy
Nifi
Databricks
Benefits & Applications
Enhance user experience.
Improve data management.
Increase operational efficiency.
Predictive Maintenance
Description
AI solution designed to predict and prevent machinery malfunctions and failure events in real time.
Built to enhance asset maintenance, it minimizes unplanned downtime and optimizes maintenance costs by providing early detection and proactive insights into machinery status.
Functions
Detect abnormalities in machinery operations through data analysis.
Provide early warnings of potential failures or downtimes to enable timely intervention.
Continuously monitor machine and system health to ensure operational efficiency.
Generate maintenance recommendations to support optimized scheduling and asset longevity.
Technologies
Long-Short-Term-Memory (LSTM)
CNN
TensorFlow
Keras, Scikit-learn
MS Azure Cloud
Benefits & Applications
Improve machinery longevity.
Minimize operational disruptions.
Optimize maintenance costs.
Defect Detection
Description
A defect detection system built to identify and classify defects across various product types using advanced computer vision and sound detection technologies.
Functions
Captures high-resolution images and audio data from production lines.
Utilizes computer vision and sound detection algorithms for real-time analysis.
