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Dataiku’s new AI tools aim to reduce dependency on data science teams

Dataiku’s new AI tools aim to reduce dependency on data science teams

Dataiku expanded its efforts to make AI accessible to average business users on Thursday, with the release of an update that allows average business users to run what-if simulations of AI models. With this tool, they can have a way to determine how changes to the data they are based on will impact them.

Florian Douetteau, Dataiku’s CEO, said that the aim is to make it easy for business analysts to use AI models based on machine learning algorithms they can create (with the help of a data science team).

Sanity checks and fairness tools

Other additions to the effort include Dataiku 9’s new Models Assertions tool that makes it possible for a subject matter expert to add sanity checks or known conditions into a model, to prevent the models from ever reaching a certain conclusion or result.

There is a new Visual ML Diagnostics tool to generate error messages if the platform finds that a model will fail. A Model Fairness tool is also available to give access to a dashboard, which companies can then use to assess the fairness or bias of an AI model.

It doesn’t end there

There is a Smart Pattern Builder and Fuzzy Joins capability, making it easier to work with more complex or incomplete datasets, without having to write code or manually clean or prep data.

Most organizations are spending money on AI to make data-driven decisions that tend to have better, predictable, and easy-to-track outcomes. Now, business analysts can make their models without needing a data science team.

Business users should be able to create AI, instead of being consumers only, according to Douetteau. However, it does not mean that organizations should not hire data science teams. It would be unwise at this stage, to go it alone.