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Webinar: Amplifi x Precisely | Can you trust your data when it comes to GenAI?
Blog
Voices | Why (and how) to use LLMs for your business needs
Hear from Will Sandys, Senior Research & Development Consultant at Amplifi, about how to securely use LLMs in your organization to boost performance and unlock new business potential. Learn easy techniques for integrating LLMs with your internal knowledge base, all while keeping privacy intact. Blog
Case Study | Improving data reliability and accurate insights through AI and predictive analytics
Hear how a leading research and consulting organization turned to Amplifi to implement predictive analytics and a private, bespoke LLM to achieve core business goals. Resource
Guide | 6 expert tips for driving business value with AI
Blog
Article | Dataiku DSS 12.6 Guide: Enabling LLM Mesh, AI Code Assistant, and Generative AI Features
Dataiku DSS 12.6 introduces powerful Generative AI features through its new LLM Mesh, enabling smarter code assistance, automated documentation, and faster data preparation. Blog
Article | How to use DAX visual calculations in Power BI
With DAX visual calculations, Microsoft is making Power BI more intuitive than ever. This new feature lets you create and edit DAX formulas directly within visuals, no complex measures or filter context headaches required. Here’s how it works and why it’s a game-changer for report builders. 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
Article | Best practices for documenting Dataiku projects
Documenting your work in Dataiku ensures projects remain understandable, reusable, and easier to improve over time. This article walks through practical ways to document your Dataiku projects so you can save time, reduce rework, and help your future self (and teammates) pick up where you left off. Blog
Article | Basketball Intensity: Analyzing Weighted Averages in Dataiku
Are NBA stars more focused and intense in the playoffs than in the regular season? Using weighted averages and quarter-by-quarter data in Dataiku, this analysis examines offensive and hustle metrics to uncover how performance truly shifts when the stakes rise.
