Dataiku

Why choose Dataiku?

One of Dataiku’s great strengths lies in its ability to bring all stakeholders together in the same environment. Business users can explore data, design dashboards or test models without writing code, while technical profiles can go further in customizing algorithms, connecting to complex databases or automating pipelines.

This collaborative approach accelerates the scaling-up of AI projects and fosters a cross-functional data-driven culture. It also makes it possible to pool resources and avoid silos between analytical, IT and business teams.

Industrialize your artificial intelligence projects with confidence

Dataiku is not just a prototyping platform, it’s also a model industrialization tool, with advanced versioning, monitoring, dependency management and environment management capabilities. It enables you to move easily from experimentation to production, while respecting the quality, security and compliance standards specific to your sector.

Thanks to its integrated MLOps capabilities, you can monitor model performance, detect drift, automate updates and orchestrate enterprise-wide workflows.

ActinVision support: strategy, implementation and ramp-up

ActinVision will support you at every stage of your Dataiku project, from scoping your needs, defining priority use cases, integrating with your data sources, designing the first models, to production roll-out and adoption by your teams. Our support is based on a personalized, pragmatic approach, tailored to your level of data maturity and your business objectives.

Our consultants can help you structure your AI projects to deliver tangible added value, create the conditions for lasting collaboration between IT and business, and secure the scaling-up of your advanced analytics initiatives.

Dataiku training – Accelerate the ramp-up of your AI projects

ActinVision offers Dataiku training designed to enable your teams to take full advantage of the platform, whatever their technical level. This program covers the key stages of data preparation, model development, collaboration between business and technical profiles, right through to the production launch of AI projects. Thanks to a use case-oriented approach, participants learn how to effectively exploit Dataiku’s functionalities, work in teams on shared workflows, and structure advanced analysis projects within a secure, governed framework.

Dataiku in your data ecosystem

Dataiku integrates naturally into modern architectures, whether cloud, on-premise or hybrid. It connects to major data platforms such as Snowflake, Azure Synapse, BigQuery and Databricks, as well as BI tools like Tableau and Power BI. This interoperability enables you to deploy your models in a consistent environment, aligned with your tools and teams.

Give your AI projects a new dimension with Dataiku and ActinVision

With Dataiku, you structure a responsible, governed and scalable approach to artificial intelligence. With ActinVision, you maximize the value of the platform through expert, agile support focused on your challenges.