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Case Study | U.S. Venture: Empowering analysts with scalable data science and AI
Read how U.S. Venture, a leading energy and transport firm, modernized its data science practice, cutting model development time by 95% using Dataiku - enabling analysts to lead AI projects with reusable, scalable workflows through a collaborative approach to data science. Blog
Case Study | Cooke Aquaculture charts a course for successful multi-Domain MDM
Blog
Case Study | Bankers’ Bank launches successful ERM product for community banks
Bankers’ Bank partnered with Snow Fox Data, part of Amplifi, to build a tailored, easy-to-use ERM solution for community banks - boosting risk visibility, data trust, and client engagement. Blog
Voices | The rise of Microsoft Purview
Learn how Microsoft Purview can enhance your organisation’s data governance, boost data quality, and streamline compliance. Amplifi, a Microsoft Accredited Partner, offers the expertise to help you get started with Purview and unlock its full potential. Blog
Voices | 5 ways to design your data ecosystem for change in a continuously evolving world
Matt Harris, Practice Director – Modern Data Ecosystems at Amplifi discusses how modern data ecosystems can leverages AI, composable architectures, and cloud computing to drive organisational success. Read on to discover strategies for embracing and managing change effectively. 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. BlogArticle | 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. 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
Case Study | 6 case studies of data management success in manufacturing
Manufacturers unlock real business value by leveraging data to overcome outdated systems and manual processes. Explore case studies showing how manufacturers drive tangible results with data-driven strategies.
