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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. Blog
Article | AI is the talk of the town, but what are senior data leaders at enterprise organizations saying?
AI is dominating conversations across industries, talking about it is one thing, implementing it is a different ballpark. At a recent dinner with senior data leaders, we discussed the real challenges and opportunities AI presents. Resource
WEBINAR | Generative BI: The Power of GenAI Unleashed in Analytics
Join Amplifi and Pyramid Analytics as we discuss the cutting-edge topic of Generative BI - a transformative approach to business intelligence that combines the power of AI with data analytics to deliver faster, smarter insights. Blog
Article | Top 5 benefits of standardizing your data science workflow with CRISP-DM
Standardizing data science workflows is essential for driving efficiency, consistency, and business impact. Frameworks like CRISP-DM provide a clear, repeatable structure that improves collaboration, streamlines project delivery, and ensures data science initiatives stay aligned with organizational goals. Resource
Webinar | Is your data ready for AI? And does it need to be?
Watch this session to hear from Amplifi's AI and data strategy experts Mike Evans, Chief Innovation Officer and Stuart Squires, SVP Strategy & Consulting who discuss how you can ensure AI is driving real value for your business. 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.
