News & Resources


Blog Voices | 5 ways to design your data ecosystem for change in a continuously evolving world

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

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.
Blog Article | Top 5 benefits of standardizing your data science workflow with CRISP-DM

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 Guide | Furniture: 5 trends driving modern data management

Guide | Furniture: 5 trends driving modern data management

Resource Webinar | Is your data ready for AI? And does it need to be?

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

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.
Resource Webinar | Amplifi x Alex Solutions: How to get data catalog right

Webinar | Amplifi x Alex Solutions: How to get data catalog right

Many organizations have tried to adopt, buy or build a data catalog. But many of those initiatives are abandoned or fizzle out and fail. But understanding your data has never been more important, especially in the age of AI. So how can you ensure that a project as critical as data catalog and metadata management is successful?
Blog Case Study | 6 case studies of data management success in manufacturing

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.
Resource Guide | Manufacturing: 5 critical needs data can solve

Guide | Manufacturing: 5 critical needs data can solve