Providing tailored agricultural advice via chatbot
Digital Green uses OpenAI's GPT-4 to develop Farmer.Chat, a generative AI chatbot that supports agricultural extension services in countries like India and Kenya. It provides farmers with tailored advice by integrating Digital Green's vast library of agricultural knowledge, including training videos and research factsheets. By enhancing extension agents' ability to assist farmers, Farmer.Chat reduces the cost of traditional services and improves access to localized farming expertise.
4
AI use cases in
Agriculture
Camanchaca, a Chilean seafood company, developed Elon, a virtual assistant that aims to provide more efficient customer service through digital channels, enhancing Camanchaca's customer interactions.
Bayer Crop Science has developed Climate FieldView, a comprehensive agricultural platform with more than 250 layers of data and billions of data points.
KissanAI has released Dhenu Llama 3, a multilingual AI agriculture assistant tailored for Indian farmers. Built on Meta’s Llama 3 8B architecture, Dhenu understands voice and text inputs and is integrated with platforms like WhatsApp, supporting 22 languages including 9 Indian languages. This assists farmers in accessing agricultural advice and information, enhancing farming practices through advanced AI capabilities.
107
companies using
Customer Agents
StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.
Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.
Humach, a customer experience solutions provider, uses Claude via Amazon Bedrock to power AI-assisted agents and digital workers that streamline customer interactions across multiple channels. They developed a Custom Language Model framework integrated into their mAI Pilot platform, including digital voice agents, live agent assistance, sentiment analysis, and content classification.
62
solutions powered by
OpenAI
Morgan Stanley integrated GPT-4 and Whisper from OpenAI into their workflows, including an internal chatbot and meeting summary tool, enabling financial advisors to quickly retrieve firm knowledge, generate summaries, and provide timely, tailored client insights.
BBVA, a global financial institution, widely adopted ChatGPT Enterprise, creating over 2,900 custom GPTs within five months. By integrating ChatGPT into various departments, BBVA empowered its 125,000 employees to develop tailored AI solutions that enhance efficiency, spark creativity, and streamline workflows. This democratized AI access enabled rapid prototyping, reduced project timelines from weeks to hours, and facilitated the sharing of expert knowledge across the organization.
Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.
28
AI use cases in
Asia
Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.
Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.
WRTN uses Claude to power natural, engaging character interactions and creative storytelling for millions of users across Asia. They aggregate AI services across companionship, entertainment, and productivity to make advanced AI technology accessible to everyday users in South Korea and Japan.