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Blog
Case Study | Scalable AI adoption: AI-Readiness Assessment for global manufacturer
Learn how Amplifi helped a global manufacturing organization assess its AI maturity and create a roadmap for responsible, enterprise-wide adoption. Blog
Event | Governance, AI and Sustainability: Insights from our Data Leaders dinner in Copenhagen
At a recent dinner in Copenhagen, co-hosted by Amplifi Profisee and EDM Association, data leaders discussed the realities of governance, AI and sustainability. Discover the key challenges, shared pain points and takeaways shaping data strategy today. Blog
Article | The Chain Reaction: Why AI is the missing link in today’s supply chains
Discover how AI is reshaping supply chains - from smarter forecasting to reduced waste and supplier risk. Read how Amplifi and Dataiku empower leaders to build connected, resilient operations. 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
Case Study | Troy: Building AI and ML product classification capabilities to boost operational efficiency
Read how Amplifi helped Troy, an engineering distributor group, streamline their product classification process using AI and machine learning, reducing manual input and improving accuracy, while also laying the foundation for future AI-driven innovation. Blog
Voices | The role of AI and ML in transforming Data Migration
Struggling with data migration? Lee Morgan, Data Quality & Migration Practice Lead, talks through common challenges organizations face and how AI-powered solutions can reduce errors, streamline workflows, and improve efficiency for a smoother, more successful migration. Blog
Voices | Integrating Dataiku and PyCharm for Python Development
Learn how to set up PyCharm to work seamlessly with Dataiku, from plugin configuration and environment setup to opening remote recipes, syncing changes and running local debugging sessions. Blog
Article | Machine learning and GenAI for better NCAA tournament picks
Discover how machine learning models and generative AI can boost the accuracy of NCAA Men’s Basketball Tournament predictions. We walk through building predictive models in Dataiku, comparing baseline seeding logic to Elo and Bart Torvik features, and even using an LLM to break “coin flip” matchups. See how a combined ML + GenAI approach lifted accuracy heading into the 2025 bracket. Blog
Article | Data-backed strategies for the best men’s NCAA basketball bracket
A practical look at using data and simple analytics to strengthen your men's basketball tournament bracket, choose smarter picks, and boost your odds of winning.
