Ralf Schulze took to the main stage at Manufacturing Leaders' Summit 2019 to share the best practices HCL Technologies has jointly learned with its customers regarding innovating and scaling digital.
Upcoming developments such as AI and deep learning, internet of things-enabled equipment and augmented/virtual reality might be revolutionary - but the high cost of entry means they are off limits to most medium manufacturers for now.
How do organisations achieve digital transformation and high levels of automation without neglecting the need to deliver instant profitability? How is it possible to keep employees fully engaged and on-side through the transition to smart technologies?
The majority of cloud migrations are built around reducing overheads, an approach that overlooks the less tangible – but no less vital – competitive advantages the cloud provides.
New research from ORM and Acquia has identified customer experience as a “top priority” for the manufacturing sector in 2019. But how will changing focus from products to customers actually improve your manufacturing business?
By manually generating manufacturing drawings, routings and bills of materials, businesses are overlooking a huge opportunity to reduce cost and lead-times, eliminate errors and deliver exceptional customer experiences.
The world has drastically changed for discrete manufacturing, and only now are many organisations realising that they haven’t driven sufficient innovation in their supply chains to respond to these challenges.
Customers’ acceptance of a one-size-fits-all product may be ending, but the demand for more personalised, unique experiences doesn’t have to cause the production challenges many manufacturers believe it will.
The UK manufacturing sector continues to grow, even in uncertain times around Brexit. It is currently the ninth largest globally and contributes to a huge 44% of the UK exports. Rapid growth has resulted in successes and struggles, bringing about concerns faced by few other industries as a whole.
Driven by increasing market demand for highly personalised products, the need for manufacturers to leverage the full value of their data is greater than ever. Yet, producing smaller batches of non-standard, unique products is significantly more complex and requires data ‘on-demand’.
