Digital Transformation
Digital Transformation on the Shop Floor
Digital transformation is not a project. It is a series of decisions about which parts of your operation to stop doing manually.
For metals manufacturers, that usually starts with paperwork. Mill certificates filed in folders. Production schedules in spreadsheets. Inspection records that nobody can find when an auditor arrives. These are not IT problems. They are business problems with digital solutions.
Industry 4.0 (I4.0) is the shorthand for connected, data-driven manufacturing. Internet of Things (IoT) sensors feed live data from your machines to systems that can act on it. A cutting machine that knows its blade is drifting can flag the problem before the next batch becomes scrap.
The practical entry points for most metals manufacturers are:
- Automating document-heavy processes: certificates, purchase orders, delivery notes
- Connecting shop floor machines to central monitoring systems
- Replacing paper-based inspection records with digital workflows
- Linking inventory systems to production schedules so you stop running short
The manufacturers who do this fastest aren’t the ones with the biggest budgets. They start with one process, usually certificates or cut planning. They get it working in a week, then show the rest of the team a result. GoSmarter is built for exactly that pattern: live in a day from a CSV upload, piloting on one product family, scaling when you’ve seen it work.
Posts in this section cover the technologies, the case studies, and the change management realities. Including the parts that are harder than the vendors let on.
Can AI outperform medical professionals in diagnosis?
- Mia Hatton
- Archive
- Oct 28, 2019
- Updated
Last year the Guardian - link no longer works reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.
Read More: Can AI outperform medical professionals in diagnosis?How to get AI to work for your business and enhance operations
- Mia Hatton
- Archive
- Oct 18, 2019
- Updated
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.
Read More: How to get AI to work for your business and enhance operationsCategories
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- Inventory Management for Metals
- Manufacturing
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- Nightingale HQ and GoSmarter
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