Dataiku

Dataiku is a platform utilized by leading organizations in the utilities and energy sectors to foster data-driven decision-making across all company levels. It supports engineers in monitoring, diagnostics, and maintenance, as well as data scientists and analysts in forecasting.

Dataiku offers AI applications and use cases that empower energy companies to optimize operations, reduce asset downtime, and achieve sustainability goals. It enables the analysis of electricity consumption and carbon emissions forecasting, and helps reduce unplanned downtime while optimizing maintenance plans.

Additionally, Dataiku improves production quality and allows for real-time adjustments in manufacturing processes. It reduces inefficiencies and equipment downtime in batch process manufacturing through machine learning-driven outcome prediction and root cause analysis. Users can add process parameters via a web application, analyze historical production processes, set targets, and scale performance across different production types.

Dataiku also facilitates the conversion of electricity consumption into CO2 emissions based on location and date-specific carbon intensity. It allows users to connect their data flow to Kayrros data and provides easy access to the nam.R store API and data. Users can import data from PI servers into Dataiku, process it, and export the results.

The platform accelerates the development and deployment of business projects with its effective visual recipes, enhancing accessibility and collaboration among users. Its prebuilt machine learning models expedite prediction processes, ensuring a seamless workflow from development to production.

SLB collaborates with Dataiku to enhance operations and achieve significant cost savings through data and AI applications, including well log interpretation, fault analysis, drilling time reduction, and HR optimization.