BOTNOI has launched BOTNOI Voice, a multilingual AI assistant built on AWS, ehancing customer service across Southeast Asia.
BOTNOI Voice addresses challenges in delivering culturally nuanced, accurate AI interactions for Southeast Asian languages like Thai, Indonesian, and Vietnamese. Traditional AI models often lack contextual understanding of regional dialects and cultural norms. BOTNOI overcomes these obstacles using AWS tools like Amazon Bedrock, enabling smooth integration of various foundation models. This ensures tailored solutions for industries ranging from healthcare to hospitality. For example, AI nurses assist patient screening in hospitals, while virtual concierges enhance hotel services with near-human accuracy.
The platform leverages AWS EC2 G4DN instances to process complex text-to-speech and speech-to-text tasks efficiently. These scalable GPU instances handle large GenAI workloads, ensuring seamless performance for real-time applications. BOTNOI plans to adopt Trainium2 chips in 2025 to accelerate model training further. Additionally, Amazon Bedrock Guardrails filter harmful content, aligning AI responses with responsible use policies. This safeguards customer interactions, maintaining trust and data integrity.
BOTNOI Voice’s deployment in over 70 enterprises highlights its boosting potential. By integrating with Amazon Connect, BOTNOI automates customer interactions, prioritizes urgent calls, and streamlines service across channels. AWS’s SageMaker JumpStart supports model training with culturally relevant data, enhancing the AI’s contextual accuracy. Collaborating with AWS partner DoiT, BOTNOI optimized cloud infrastructure, achieving significant cost savings.
This GenAI solution not only improves operational efficiency but also enhances AI access for local businesses. By addressing Southeast Asia’s linguistic diversity, BOTNOI demonstrates how GenAI can bridge cultural gaps, delivering personalized, scalable customer experiences.