Companies strive to lead in the use of advanced analytics and AI, and ChatGPT and Large Language Models are therefore on the agenda of executives. Companies must weigh the pressure to deploy AI as a competitive advantage against the need to control potential risks to their reputation and operations. For many companies, the risks are overwhelming due to a lack of insight and inconsistent processes for data, analytics, and AI tools used by different teams. The new platform aims to address these challenges by providing trust and control over AI outputs.
New Features
OpenAI GPT integration: Dataiku enables business users to integrate OpenAI's GPT models into data projects by expanding datasets and performing tasks using a visual interface and prompts in plain language, all while maintaining transparency and trust in project outputs.
Causal machine learning (ML): Causal predictions ensure that correlation is not confused with causation when this could be harmful to the business or other stakeholders. Dataiku democratizes these capabilities so that anyone building ML models can understand the 'why' behind their results.
Universal Feature Importance: Some ML models provide limited explanations, making it difficult for stakeholders to trust the results. Dataiku centralizes the explainability of models so that teams have a consistent way to explain models to build trust with business users.
Model revocation: A core principle of AI safety is maintaining human oversight. In some cases, predictive models do not provide the best or safest answer, so Dataiku enables experts to establish strict rules based on their real-world experience that keep the output of AI models aligned.
Model risk project overview: With AI projects across different teams and development phases, managing risks and allocating resources can be challenging. With Dataiku, business and analytics specialists can easily identify and mitigate risks in AI projects, increasing confidence in project outputs.
Transparent automated feature development: Feature engineering can be a black box in the AI modeling process, increasing perceived risk. Dataiku provides people with transparency and control over this ML technique and helps understand where new features come from.
"As we further enter the era of AI, building trust through transparency and governance is now essential for any company that wants to stay at the forefront of innovation. Dataiku 12 directly addresses this need," says Florian Douetteau, co-founder and CEO of Dataiku. "We enable companies to explore the immense potential of AI with confidence while providing robust mechanisms for oversight and risk management. This fusion of power and control is key to harnessing the full potential of AI in the most responsible way."
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