Dataiku

What is Dataiku?

Dataiku is a comprehensive software platform for designing, deploying, and managing data analytics applications and predictive machine learning (ML) models.

The platform, which is pronounced “data-eye-coo,” is known for its collaborative features that allow data scientists and business professionals to work together on predictive models for business use.

Techopedia Explains

A predictive model is a statistical tool that uses machine learning and historical data to forecast future events or outcomes. The effectiveness of this type of artificial intelligence (AI) depends on the quality of the historical data, the appropriateness of the learning algorithms used to analyze the data, and the model’s ability to apply what it learned from training data to new scenarios.

Recently, Dataiku has been promoting its Generative AI Use Case Collection for enterprise applications. The collection is intended to make it easier for enterprises to tune large language foundation models and implement generative AI at scale.

What is Dataiku Used For?

Dataiku is used to simplify and streamline the steps required to turn data into actionable insights. The platform includes tools for data preparation, exploration, and analysis, as well as tools for building, validating, testing, deploying, and governing ML models.

• Data Preparation: Dataiku can connect to a wide range of data sources, including databases, flat files, cloud storage, and application programming interfaces (APIs) for open-source libraries like scikit-learn. The platform, which provides code-first as well as low code/no code (LCNC) tools for cleaning, transforming, and manipulating data, can be used to automate data preprocessing tasks.
• Data Exploration and Visualization: The platform offers a variety of tools for exploring data relationships and patterns. It also includes reporting components for communicating data insights with easy-to-understand graphs and charts.
• Model Building: Dataiku’s drag-and-drop interface is known for democratizing the process of creating and comparing different machine learning models. The platform offers a wide range of pre-built learning algorithms for creating classification, regression, clustering, and predictive models. Dataiku’s AutoML capabilities provide non-technical users with the ability to select pre-built models and use them without needing to know how to code.
• Model Validation and Testing: The Dataiku platform can be used to split data into training and testing sets and assess model performance using a variety of goodness measurement metrics. This capability is useful for identifying potential machine bias and fairness issues.
• Model Deployment: Dataiku can be used to deploy predictive models as APIs or web services in production environments. After deployment, the platform can be used to monitor model performance in real-time to limit AI drift.
• Model Governance: Dataiku’s user-friendly interface provides end-to-end version control and tracking features that GIT users will find familiar. The platform’s discretionary access controls and customizable dashboards facilitate collaboration and knowledge sharing among distributed team members.

What is Dataiku Academy?

Dataiku Academy is an online learning center that provides registered users with free access to a limited number of guided learning paths.

The academy has an active community forum and maintains a knowledge base (library) of free tutorials, how-tos, tips, and FAQs. The academy also offers more advanced courses and certification opportunities for a fee.

What is Dataiku DSS?

Data Science Studio (Dataiku DSS) is a virtual collaboration environment. It is primarily used for the “hands-on” parts of the data science workflow, including data preparation, analysis, and model building.

DSS can be supplemented by a number of additional components for orchestrating data pipelines, deploying data products, and managing their deployments.

Dataiku Pricings

Dataiku offers a freemium subscription model that provides registered users with limited access to Dataiku Data Science Studio and learning resources. They also offer a tiered subscription model.

• The least expensive subscription, which is aimed at small teams, provides basic resources for data wrangling, data analysis, and building predictive models.
• The professional tier, which is aimed at larger teams, also includes version control and more advanced features for model deployment.
• The most expensive subscription is aimed at enterprise users who require advanced integration, analytics, and security features that can support large-scale projects across multiple teams and departments.

Dataiku Competitors

Many of Dataiku’s top competitors started out by focusing on specific features and components of the Dataiku platform.

According to Gartner Peer Insights, competitive vendors include:

• DataRobot
• Anaconda
• Microsoft Azure Machine Learning
• DataBricks
• Altair RapidMiner Studio
• Google Cloud Vertex AI
• TensorFlow TFX
• Alteryx

As companies strive to capture a bigger share of the generative AI market, many of the vendors mentioned above are adding components and features to make their platforms more comprehensive. Arguably, Dataiku still maintains unique advantages in areas like collaboration, scalability, and user-friendliness.

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