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Blog
Article | How MDM drives value in the Medallion Architecture
Mike Hennelly explores how to unlock the true value of your data by integrating Master Data Management with the Medallion Architecture. Learn how golden records, trusted governance, and a strong MDM‑to‑Silver pipeline power reliable analytics and AI across your enterprise. Blog
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
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
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
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
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
Article | AI Maturity Assessment: Understand Your Readiness for AI
Discover how AI Maturity Assessments help leaders move from AI curiosity to AI-driven results. Learn models, surveys, and next steps to scale AI with confidence. Blog
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
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.
