Gaz Réseau Distribution France (GRDF) predicts whether there will be damage on work and construction sites or not. We do this by taking a lot of historical data from the work declarations and historical damages and then building an AI model able to predict the risk. We then target our visits on these construction sites to prevent damage and warn the construction companies if they are doing something they should not be doing, while giving them advice.
How Do You Use Dataiku?
Dataiku is a great AI toolbox for GRDF. It helps us with code management and collaborative work between data scientists. It’s a great code environment manager and our toolbox that reduces the time to market for all our experiments by a lot and helps us industrialize and push projects to production.
What Are the Next Steps for GRDF?
Our next step is Generative AI. We have identified a few use cases and we plan on selecting a few of them to start. We’re currently working on identifying all the parts that require work in Large Language Models (LLMs) and determining how to leverage them. The idea is to try, from end to end, to have an LLM that works on our use cases and then change some parts of it until it can answer every use case perfectly.
What Does Everyday AI Mean to You?
Everyday AI means helping the business, sometimes without even knowing it, with AI.
SLB: Putting Data & AI to Work for Energy
SLB partners with Dataiku to drive improvements and save millions of dollars through the use of data and AI across the business.
Though the savings generated by the express shipping recommendation model will only fully materialize over time, the tool when globally implemented is estimated to reduce express shipment costs by 11-36%.
The Data and Analytics team at U.S. Venture was built to usher the company into the future of data science and AI. See how they use Dataiku to streamline their data efforts, implement a culture of reuse, and drastically save time (i.e., a warehouse optimization solution that saves data scientists and analysts over 95% of time).