AI use case

Providing early childhood education support

by
Pratham Education Foundation
Context

Pratham developed 'BaalSakhi', a chatbot powered by Meta's Llama 2 (70B), integrating via WhatsApp to provide personalized, on-demand support for early childhood care and education to parents and caregivers in resource-poor settings. BaalSakhi draws insights from trusted sources like government departments, UNICEF, WHO, and childcare experts, helping users navigate their child's early development journey independently.

Results
Results not reported in the source
Industry
Education
Region
Asia
Published
September 1, 2023
Agent type
Customer Agents
AI provider
Meta
Models/tools
Not disclosed
ICE score
288
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
9
Confidence
8
Ease
4

20

AI use cases in

Education

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StudyFetch

Education
Use case
Accessible study support
Context

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.

Pepperdine University

Education
Use case
Improving accessibility for students
Context

Pepperdine University uses Gemini for Google Workspace to enhance accessibility and collaboration across campuses. Faculty leverage generative AI for custom lesson plans and research support, while administrative teams use it for tasks like creating meeting minutes and custom images for presentations. Live captioning and translation features in Google Meet address language barriers, fostering equity and accessibility for students.

MagicSchool

Education
Use case
Reducing teacher workload
Context

MagicSchool, an AI assistant platform for educators and students, uses Anthropic's Claude to help teachers save time by automating tasks like lesson planning, quizzes, and personalized student feedback. This allows teachers to focus more on student interaction, reducing burnout and improving education quality.

Models/tools
...
1
Explore industries

107

companies using

Customer Agents

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Use case
Accessible study support
Context

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.

Models/tools
...
2
Use case
Support scaling
Context

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.

Models/tools
...
2
Use case
Automate customer interactions
Context

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.

Models/tools
...
2
Explore agents

49

solutions powered by

Meta

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Use case
Automate image segmentation
Context

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Models/tools
...
2
Use case
Protecting customer privacy in personalized recommendations
Context

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.

Models/tools
...
1
Use case
Understanding complex codebases
Context

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Models/tools
...
1
Explore AI providers

28

AI use cases in

Asia

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Use case
Automate mapping data processing
Context

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.

Models/tools
...
1
Use case
Protecting customer privacy in personalized recommendations
Context

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.

Models/tools
...
1
Use case
Low AI adoption
Context

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.

Models/tools
...
1
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