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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.

Augmenting Customer Services with Chatbots

Last week we kicked off our AIFightsBack series to help businesses understand how AI can be used to support a safe and productive business during COVD-19 and beyond. The slides and video are now available.

Read More: Augmenting Customer Services with Chatbots

Announcement: AIFightsBack webinar series

It's been a very tough few weeks, and the world as we know it has changed forever. Our families, our communities, businesses and the global economy are all feeling the pressure of the COVID-19 virus. As with many other startups, we feel the impact of these volatile times and we plough on as much as we can. We remain hopeful that many great innovations came out of times of crisis; that is why we have created the AIFightsBack webinar series.

Read More: Announcement: AIFightsBack webinar series

AI Winters and hype

This is not the first time AI has been all the rage in the business world. In particular, AI was big in the eighties with solutions called expert systems. Will AI be a passing fad now?

Read More: AI Winters and hype

How IoT technology can be used to improve UK public transport

There is no shortage of possible applications when it comes to Artificial Intelligence (AI) in the public sector, but while the UK government is investing heavily in AI in the private sector, what are they actually doing to implement it themselves? Some fear that governments using AI will result in a dystopian future of constant surveillance, but in reality, public sector applications of AI are far more pragmatic.

Read More: How IoT technology can be used to improve UK public transport

Sealing the gap in education poverty with AI & EdTech

Could education be the industry that has seen the least change over the years? While we’ve seen big changes in the accessibility of education, there is still a long way to go, and as pointed out by The World Bank, being in school is not the same as learning. Often pupils are unengaged, teachers are failing to hold everyone’s attention in class, and drop out rates and grades are proving that the one-size-fits-all approach to learning is outdated.

Read More: Sealing the gap in education poverty with AI & EdTech

Mastering AI in manufacturing: the three levels of competency

Manufacturers have been facing continual pressure to improve their technology base, reduce costs, and improve quality since the Industrial Revolution. Manufacturers are used to change but not every manufacturer can or will embrace it at the same rate. Also, no manufacturer jumps straight to being an expert at the new thing they're needing to adopt. The same goes for Artificial Intelligence (AI) as an emerging change in manufacturing.

Read More: Mastering AI in manufacturing: the three levels of competency

Industry IoT, smart factories and AI in manufacturing

The world of manufacturing is on the brink of another revolution due to the Internet of Things (IoT) and Artificial Intelligence (AI) applications. Aside from clear use cases like robotics and automation, big data applications are coming into play, thanks to industrial time series data collected by data historians. Thriving on all this data, AI systems can be built to send early warnings, optimise processes, predict maintenance and enforce quality control. By collecting the right data, manufacturers can get really creative with their AI solutions, and it can set them apart from the competition.

Read More: Industry IoT, smart factories and AI in manufacturing

A partnership of Machine Learning and AI with healthcare professionals

Healthcare has always been a data-rich area, but with new technologies for processing and structuring, and new ways of collecting data, such as using sensors, like many other industries, the available data is growing exponentially. Artificial Intelligence (AI) makes it possible to analyse all this data in real-time by combing Machine Learning (ML) and Natural Language Processing (NLP), in order to gain valuable insights.

Read More: A partnership of Machine Learning and AI with healthcare professionals

What to watch for in the FinTech startup industry

If anyone has raced ahead with AI adoption, it’s the finance industry. The rise of AI goes hand in hand with the wave of FinTech services and applications that have surfaced in recent years. From automating the approval of loan applications and spotting fraud to personalised services and cryptocurrencies, these applications save time, reduce errors and ultimately save money. This makes them a lucrative investment for banks, who seem to be at the forefront of the AI revolution, showing other industries that making bold changes and engaging with these technologies is worthwhile.

Read More: What to watch for in the FinTech startup industry

Let your business strategy drive AI adoption

To reveal the tactics and behaviours of companies that are getting the most out of AI, MIT Sloan Management Review and Boston Consultancy Group undertook a survey of more than 2500 executives alongside 17 expert interviews in their 2019 report, Winning with AI - link no longer works. One of their findings was that while 9 out of 10 respondents saw AI as an opportunity for their company, the perceived risk of AI is on the rise, with 45% of respondents reporting perceived risk from AI (compared to 37% in 2017).

Read More: Let your business strategy drive AI adoption

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