AI use case

Enhancing employee productivity with AI assistant

by
CMA CGM
Context

CMA CGM, a global logistics company operating in over 160 countries, uses Mistral's AI models to power MAIA, their internal personal assistant. MAIA can chat about documents, perform translation and summarization, and integrate expert chatbots using RAG. High accuracy scores led CMA CGM to choose Mistral as their generative model of choice. MAIA has been deployed to thousands of employees, with plans to expand to all staff.

Results
Results not reported in the source
Region
Global
Published
February 1, 2024
Agent type
Employee Agents
AI provider
Mistral
Models/tools
Not disclosed
No items found.
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

16

AI use cases in

Transportation & Logistics

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Grab

Transportation & Logistics
Data Agents
Quick win
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.

Uber

Transportation & Logistics
Use case
Facilitating EV adoption
Context

Uber is developing an AI assistant using OpenAI's GPT-4o to guide drivers in transitioning to electric vehicles.

Models/tools
...
1

Grab

Transportation & Logistics
Data Agents
Quick win
Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI's GPT-4o with vision fine-tuning to enhance their mapping data for GrabMaps. By fine-tuning GPT-4o with only 100 examples, they taught it to correctly localize traffic signs and count lane dividers from street-level imagery collected by their drivers.

Explore industries

128

companies using

Employee Agents

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Use case
Slow advisor information retrieval
Context

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.

Models/tools
...
2
Use case
Democratizing AI access
Context

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.

Models/tools
...
2
Use case
Automate sales workflows
Context

Rox, a sales platform, integrated OpenAI’s GPT-4o, GPT-4o mini, and Realtime API into their system to create a three-tiered AI-powered assistance platform. This includes data unification, complex reasoning, and interaction layers, enabling the Rox Agent Swarm to automate repetitive tasks and provide actionable insights, increasing sales reps' productivity by 50%.

Models/tools
...
3
Explore agents

19

solutions powered by

Mistral

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Use case
Unlocking data insights
Context

BigDataCorp, a data analytics and consulting firm from Brazil, uses Mistral AI models hosted on AWS Bedrock to enable client businesses to dive deeper into their data using natural language.

Models/tools
...
1
Use case
Optimizing AI application deployment
Context

Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.

Models/tools
...
1
Use case
Creating customizable AI assistants
Context

HuggingFace introduced HuggingChat and HuggingChat Assistants, platforms that allow users to try out different open-source models and create customized assistants with unique personalities. By default, both platforms are powered by Mistral 8x7B, providing users with powerful, high-quality experiences and contextually relevant responses. Mistral 8x7B is currently the most popular model used on HuggingChat, enhancing user engagement.

Models/tools
...
1
Explore AI providers

129

AI use cases in

Global

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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
Scaling renewable energy asset management
Context

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

Models/tools
...
2
Explore regions
No items found.