Manufacturing

Manufacturing Innovation and AI

Discover how artificial intelligence and digital technologies are transforming the manufacturing sector. From optimising production processes to reducing waste and improving sustainability, modern manufacturing is being revolutionised by smart solutions.

Our content covers practical applications of AI in manufacturing, including supply chain optimisation, quality control, predictive maintenance, and sustainable production methods. Whether you’re looking to improve operational efficiency, reduce costs, or minimise your environmental impact, you’ll find valuable insights here.

Learn about real-world case studies, industry best practices, and emerging trends that are shaping the future of manufacturing. We focus on actionable strategies that help manufacturers leverage technology to stay competitive in an evolving landscape.

Why do you need business intelligence?

How quickly could you answer the question, "How's your business doing?" if it was asked right now? How detailed would your answer be, and how confident would you be in your answer? If you were utilising business intelligence, your answer would be fast, comprehensive and accurate.

7 tips for building a data culture that will strengthen your business

Data analytics has taken off but not everyone is on the same page. While some companies are already making waves with data science, others are still struggling with the basics. Curating a healthy data culture is ever more important now to prevent the gap from growing between those who are embracing analytics and those who are lagging behind.

How to get AI to work for your business and enhance operations

Enterprise cognitive computing is the application of AI to enhance business operations. It has a wide range of applications including call handling, fraud detection and maintenance scheduling. ECC systems automate repetitive tasks and improve efficiency through fast search and information processing.

Building a solid foundation in data science

Steph Locke on building a solid foundation in data science We spoke to Steph Locke about how much experience is needed to build a solid foundation in data science and how to future-proof your tech skills.

What is cloud data development?

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.