Dataiku

Dataiku is a platform designed to systemize the use of data for exceptional business results, aiming to make AI accessible for everyday applications. With more than 600 customers achieving measurable returns on AI investments, Dataiku helps users implement diverse applications, from predictive maintenance to Generative AI use cases.

The platform offers a range of features to support various aspects of data projects, including:

• Generative AI: Build real and safe Generative AI applications at enterprise scale with development tools, pre-built use cases, and AI-powered assistants.
• Data Preparation: Access, explore, and prepare project data using visual recipes, coding interfaces, and Generative AI.
• Machine Learning: Accelerate model building with AutoML and guided frameworks, or go custom with code.
• MLOps: Deploy, monitor, and maintain machine learning models in a single platform.
• Collaboration: Bring teams together to build real and safe Generative AI applications at scale.
• Governance: Safely scale AI with oversight and prioritize projects and models that deliver the most value.

Dataiku also provides tailored offerings for different teams, including AI and Machine Learning, Data Analytics, and Enterprise AI. These solutions cater to various industries such as banking, pharmaceuticals, manufacturing, retail, insurance, marketing, supply chain, and finance.

The platform has been recognized as a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms, offering robust tooling for model design, development, and delivery. Dataiku has helped companies like Air Canada, Whataburger, and Macquarie achieve significant improvements in resource utilization, customer experience, and risk management.

Pricing plans vary depending on the level of collaboration and features required. A free edition allows up to 3 users to work on basic data projects, while a free trial offers 14 days of access to cloud-hosted features for up to 5 users. Paid editions support enterprise-wide collaboration, governance, and model deployment features. For a complete list of features and pricing details, users can explore the Dataiku website.

Published on June 29, 2024