Dataiku: Enterprise-Grade Collaborative AI & MLOps Platform
Empower every role with AI-assisted decision-making as part of their daily workflow.Leading companies such as GE, Cisco, NXP, Merck, and BNP Paribas use Dataiku Data Science Studio to build a collaborative bridge between data scientists and domain experts—unlocking synergy that goes beyond 1 + 1, delivering fast, impactful AI-powered business solutions.
Dataiku is Uniquely Designed to Solve the Talent Gap
Dataiku’s unified platform connects people across all coding skill levels, enabling business and IT teams to collaborate in a common language. By streamlining data usage, design, and AI deployment, it empowers organizations to build impactful AI solutions—without relying on rare unicorn talent.
For Data Scientists, Data Engineers, Software Developers & Architects: Accelerate Every Step of the Data Science Workflow With Dataiku
Dataiku respects the preferred workflows of coding-first professionals, offering full flexibility to write custom scripts, build high-quality pipelines, and develop models using familiar tools. Unlike fully visual platforms, Dataiku offers seamless switching between drag-and-drop recipes and editable SQL—so you never have to start from scratch, saving time and effort.
Simplify Complex Data Connections
並可依照運算效能需求，選擇要運行的 Recipe Engine （在DSS內或是Run In database、Run on Spark…）
Keep Using the Languages and Tools You Love
Continue working in Python, R, Spark, and Jupyter Notebooks—no need to compromise just to collaborate with others.
Reuse Code, Datasets & Assets
Boost consistency and efficiency across projects, while enabling business users to build on your work.
Marketing, Finance, Quality Control, and Operations Analysts—Collaborate Seamlessly With Tech Teams and Turn Insights Into Action Faster With Dataiku
Data only creates value when it’s used to solve real business problems—just like BI dashboards only make an impact when they’re actually used. Your domain expertise + AI = unlimited potential. Dataiku helps make that potential a reality:
With over 109 code-free data preparation tools, you can easily blend data from scattered sources, clean and format it for analysis, and automate repetitive tasks—no manual scripting required.
Dataiku empowers you to perform advanced statistical analysis such as univariate and bivariate analysis, hypothesis testing, curve fitting, correlation analysis, and principal component analysis—quickly and intuitively.
AutoML lets you level up your machine learning skills with ease. Build powerful models using Python, Spark, H2O, or TensorFlow, with access to over 32 core algorithms—all within an accessible interface.
Once your insights are ready, communicate them effectively through custom dashboards and apps, or publish directly to familiar BI tools like Tableau to drive impact across your organization.
For Data Leaders, CDOs, CISOs, and Heads of Automation—Boost Team Productivity and Efficiency With Dataiku
Dataiku helps you:
Amplify the impact of your data team by enabling true cross-functional collaboration on a single platform. With built-in integrations for tools like Slack, Microsoft Teams, and Atlassian Confluence, team members can easily participate across the entire data lifecycle—driving faster, more impactful business decisions.
Improve the ROI of AI projects with centralized project tracking and documentation. Dataiku makes it easy to scale use cases while keeping maintenance costs in check, ensuring long-term efficiency without complexity.
There’s no need to compromise on security or auditability. Dataiku integrates with existing infrastructure such as Active Directory and Kerberos, and supports advanced permission controls, SSO and LDAP integration, log tracking, and secure API access—giving you the control needed to manage risk and stay compliant at scale.
With Dataiku Apps, even non-technical users across the organization can directly interact with AI predictions to support better, data-driven decision-making.
Recognized as a Leader in Gartner’s Magic Quadrant for Data Science & ML Platforms
Nearly Perfect Rating on Gartner Peer Insights
Adopted by Over 600 Leading Enterprises
Trusted by 45,000+ Users Worldwide
Dataiku Helps Every Industry Turn AI Into Action
Banking teams can easily access and inspect code, track workflow changes, and understand or refine models more effectively. Beyond AutoML, Dataiku offers a full suite of data science tools, including IDEs, task schedulers, and visual development environments. Common banking use cases include:
Customer Management
- Customer Segmentation: Use machine learning to segment customers and gain deeper insights into customer needs and success drivers.
- Churn Prediction: Explore distributed networks to identify gaps and prevent customer attrition with targeted strategies.
- Next Best Action: Recommend optimized, personalized product offers and messaging to improve marketing effectiveness and campaign ROI.
Risk and Compliance Management
- AML Alert Prioritization: Improve AML workflows by flagging high-risk alerts and enabling real-time investigation through predictive models.
- Credit Fraud Detection: Combine machine learning with business rules to strengthen existing fraud detection processes.
- Credit Scoring: Use both traditional scoring models and ML-based techniques to enhance credit risk evaluation.
Leading insurance companies worldwide use Dataiku to enhance workflows across departments—spanning customer acquisition, claims processing, fraud detection, underwriting, and more.
Improve Operational Efficiency Across Business Functions
- Insurance Product Design: Design insurance models in a modern, fully governed data science environment, using predictive modeling for pricing accuracy.
- Financial Forecasting: Streamline financial forecasting workflows and improve accuracy using machine learning models.
- ESG & Smart Topic Analysis: Automatically integrate structured and unstructured data across departments, and explore topics for scenario analysis and reporting.
- Claims Analytics: Create visual claims workflows and quickly identify anomalies using statistics and ML to support audit and refinement.
Dataiku helps manufacturers optimize operations, improve quality, and reduce waste by embedding AI across the production line—from energy forecasting to predictive maintenance.
Paving the Way to Industry 4.0
- Energy and CO₂ Forecasting: Predict energy usage and emissions with accurate models tied to production schedules.
- Predictive Maintenance: Prevent downtime with timely insights and predictive alerts.
- Production Quality Control: Boost product quality by identifying issues in near real time.
- Batch Yield Optimization: Analyze root causes of variance and forecast outcomes to reduce waste and enhance yield.
- Sensor Data Analysis: Monitor production via web or IoT data flows. Identify optimal parameters and anomalies across production types.
Improving Operations Across Functions
- Demand Forecasting: Use centralized data and ML to anticipate demand trends for smarter inventory and procurement.
- Financial Forecasting: Improve accuracy and transparency in financial planning through predictive modeling.
- Logistics Optimization: Track in-transit inventory in real time to improve supply chain responsiveness.
- Inventory Optimization With Grid Dynamics: Minimize overstock and understock while reducing SLAs and delivery costs.
From R&D to clinical trials and commercial operations, Dataiku powers AI innovation across the pharmaceutical value chain.
Accelerate and Streamline Drug Pipelines
- Early Signal Detection: Identify key adverse event indicators (e.g., ADRs) early for better drug safety and regulatory alignment.
- Molecular Targeting: Discover links between diseases, genes, and compounds using ML to uncover new opportunities.
- Market Strategy Optimization: Use data to pinpoint success factors for drug adoption and build effective go-to-market plans.
Boost Operational Efficiency
- Business Analytics: Leverage data to optimize product mix and streamline offerings.
- Inventory & Distribution: Monitor real-time distribution with in-transit tracking to ensure optimal allocation and supply chain performance.
Dataiku Empowers Organizations to Practice Everyday AI
Through the following features, both data experts and domain professionals can bring data—from analytics to Generative AI—into their daily operations to drive impact.
Generative AI
Dataiku provides simple development tools, prebuilt use cases, and AI assistants to help everyone make the most of Generative AI.
Data Preparation
In Dataiku, both coders and non-coders can access and prepare data, explore datasets, automate formatting and enrichment, and apply machine learning techniques to a wide variety of data types.
Visualization
Use built-in tools in Dataiku to explore data, run statistical analyses, and create visual dashboards—saving time on exploratory analysis and reporting.
AI & Machine Learning
Dataiku AutoML supports model development with guided frameworks, including preprocessing, forecasting, clustering, time series, and interpretability—all with minimal code.
DataOps
Automate data workflows and pipeline monitoring to ensure teams have timely, reliable, and production-ready data.
MLOps
Automate testing and model retraining, monitor performance, compare model versions, and make informed decisions about deploying models in production.
Collaboration
Dataiku offers a unified environment for collaboration—so coders and non-coders can work together, sharing data and insights across teams in real time.
Governance
Standardize workflows with approval gates, model and project documentation, and scoring frameworks to ensure secure and responsible AI governance.
Architecture
Dataiku supports deployment on existing infrastructure—on-prem or in the cloud—so you can fully leverage your existing data storage layers.
Transform Your Business with Dataiku
Dataiku offers unique advantages for manufacturing use cases, accelerating AI maturity in the industry by augmenting various aspects of the manufacturing process with AI solutions
