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Faced with the challenges of personalizing learning paths and maintaining student engagement, AI offers an innovative solution: the creation of tailor-made educational activities. This technology makes it possible to adapt exercises, projects and materials in real time according to the specific needs of each student.
Institutions that integrate AI into their teaching can thus offer personalized content, adapted to the skills to be strengthened, and allow students to progress more effectively.
Teachers are also taking advantage of this technology by automating repetitive tasks, giving them more time to focus on higher value-added activities. Personalizing learning and optimizing resource management are among the many benefits that artificial intelligence brings to education.
AI is transforming the way educational institutions personalize and diversify their educational activities. By analyzing data on student skills and needs in real time, AI generates tailor-made exercises to optimize academic performance.
Thanks to individualized monitoring, it makes it possible to identify student shortcomings, to offer targeted content and to monitor their progress precisely. This process promotes continuous learning, stimulates student engagement, and reduces the risk of boredom.
She dynamically customizes educational activities according to individual progress and learning preferences.
It saves time for teachers, thanks to the creation of automated exercises and teaching materials.
She is constantly learning to quickly adjust activities according to the specific needs of students in real time.
One of the great strengths of AI is its ability to personalize educational paths. By analyzing student performance and interactions with educational content in real time, algorithms can recommend activities adapted to the specific needs of each student. Whether it is to strengthen key skills or to offer new challenges to those who are progressing rapidly, AI is constantly adjusting the content offered.
This personalization allows students to progress at their own pace, while encouraging them to take on challenges adapted to their level. Learning thus becomes more fluid and engaging, with better knowledge retention. Additionally, teachers benefit from detailed reports on each student's progress, allowing them to focus their support where it's most needed.
One of the main benefits of AI in education is its ability to optimize both learning paths and the management of learning resources. Using machine learning algorithms, AI analyzes student interactions with content and adjusts proposed activities in real time. This allows institutions to maintain the continuity of learning, even in the event of unexpected changes in academic paths.
This flexibility allows institutions to adapt quickly to the changing needs of students, whether it's adjusting content or offering new types of exercises. In addition, AI reduces the administrative burden on teachers, allowing them to focus more on supporting students and providing personalized support.
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The platform is complete, simple, completely secure and allows our data scientists to deploy their code in production independently thanks to its model management tool
The platform allowed us to industrialize a major project for Omnes Education in record time: the creation of a virtual tutor to supervise students. We were particularly impressed by the scalability and robustness of the product.
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We particularly liked the flexibility of the platform, the ability to go into production without having to refactor the code, and the quality of the user experience.
Craft AI offers the clearest AI solution for education adapted to our needs and is already a real technological success.
Trusted AI at the service of students, explainable and equitable, in complementarity with teachers is the great promise of Craft AI.
The application developed with the Craft AI platform allowed us to improve the productivity of our biologists by 30% by automatically detecting failed manipulations. The platform is perfectly suited for computer vision applications.
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The platform allowed us to deploy a consumer assistant in 250k homes. The models have been re-trained every day and the application has been perfectly stable and effective. This allowed us to reduce household consumption by 5%.
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Generate data similar to the original while ensuring confidentiality through synthetic data.
Monitor performance and protect against potential hallucinations or drift in your AI models in production.
Choose the cloud provider you prefer, switch between providers with just a few clicks, and avoid vendor lock-in.
Minimize the amount of energy required to train and use your models while controlling your costs.
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