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Blog Guide | Chain Reaction: The AI-Powered Supply Chain

Guide | Chain Reaction: The AI-Powered Supply Chain

Read our guide for Supply Chain and IT leaders from Amplifi and Dataiku to learn how AI is transforming supply chain operations - from forecasting and inventory planning to supplier risk and plant performance.
Blog Voices | Streamlining data insights: developing Streamlit apps inside Snowflake

Voices | Streamlining data insights: developing Streamlit apps inside Snowflake

Read this technical voices piece from Ryan Moore, SVP of AI and Analytics at Amplifi, as he shows how to query live data, build interactive dashboards, and share secure applications, all within Snowflake.
Blog Article | Safer, smarter, stronger: Why forecasting belongs in-house

Article | Safer, smarter, stronger: Why forecasting belongs in-house

When third-party forecasting platforms fail, operations stall. Bringing forecasting in-house with Dataiku, Snowflake, and SQL pipelines gives you control, resilience, and agility keeping critical systems running and decisions on track.
Blog Article | Reducing scrap in manufacturing with data & machine learning

Article | Reducing scrap in manufacturing with data & machine learning

Manufacturing teams are under pressure to improve yield and reduce inefficiencies. With data and machine learning, operations leaders gain real-time visibility, predict quality issues, and make smarter decisions that cut scrap and boost performance.
Blog Article | How to sample data in Dataiku: train, validate, test

Article | How to sample data in Dataiku: train, validate, test

Accurate machine learning depends on well-structured data sampling. Learn how to apply percentage splits and k-fold cross-validation to ensure reliable performance metrics and consistent results in Dataiku.
Blog Voices | Integrating Dataiku and Visual Studio Code for Python Development

Voices | Integrating Dataiku and Visual Studio Code for Python Development

Integrating Dataiku DSS with Visual Studio Code lets developers write and debug Python recipes locally while staying connected to Dataiku projects. Ryan Moore, SVP of AI & Analytics at Amplifi discusses how the setup enhances flexibility, streamlines workflows, and combines Dataiku’s collaboration with VS Code’s development power.
Blog Article | How to use Dataiku Window recipes for customer insights

Article | How to use Dataiku Window recipes for customer insights

Learn how to use Dataiku’s Window Recipe to analyze customer behavior, track orders, and calculate purchase frequency, all with no-code tools and real world examples.
Blog Article | How to optimize Dataiku with Snowflake SQL pipelines

Article | How to optimize Dataiku with Snowflake SQL pipelines

Learn how to use SQL Pipelines in Dataiku with Snowflake to cut execution time, reduce storage, and boost performance for complex data flows.