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Research & Innovation

Research That Actually Means Something

Most industry research is written for people who already agree with the conclusion.

GoSmarter covers academic research, industry studies, and data-backed analysis that is relevant to metals manufacturers. The question is always the same: does this help a production manager make a better decision?

Topics include:

  • AI adoption in manufacturing: what the adoption data shows, not what vendors claim
  • Scrap reduction and yield research: measured outcomes from real facilities
  • Workforce and skills studies: the human side of automation
  • Industry 4.0 implementation research: what separates the pilot projects from the deployments that stick
  • Environmental impact studies: scope 1 and 2 emissions in metals production

Where research findings have direct implications for how GoSmarter builds its tools, that is noted explicitly. Where the evidence is mixed or the sample sizes are small, that is noted too.

Good decisions come from clear data. That is what these posts aim to deliver.

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?

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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attention in class, and drop out rates and grades are proving that the one-size-fits-all approach to learning is outdated.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

FBS Small Business Awards 2020

FBS Small Business Awards 2020 Tell us briefly about you and your business Nightingale HQ is a platform for businesses to adopt AI. As the supply of data in all industries increases exponentially, we help businesses get AI-ready so that they can fully harness and utilise the data available to them to solve business problems. Nightingale HQ can help get your business the training and connections they need to start practising data science.

Read More: FBS Small Business Awards 2020

Expert Perspectives: Enhancing business with data and AI

This week we spoke to Dr. Leila Etaati, co-founder, data scientist, consultant and mentor at RADACAD, about what she thought was the key to success with AI for businesses, and how her business was implementing these beliefs. The RADACAD team work with other companies to deliver expert training and consulting around all things data, with a passion for helping businesses improve by listening to their data.

Read More: Expert Perspectives: Enhancing business with data and AI

Announcing our Research Panel

We want to help more than one million businesses adopt artificial intelligence (AI) in the next five years. To do that we need your help. We're working on the world's biggest dataset on AI adoption via what we collect on our site, but qualitative data from knowledgeable people can be extremely valuable. As such we're launching our research panel to engage with people around the world.

Read More: Announcing our Research Panel

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.

Read More: Why do you need business intelligence?

How to score your first AI quick wins: FAQ chatbots

AIFightsBack webinar Augmenting Customer Service with Chatbots 16 April at 15.00 is now over. Check out our video and slide and slide

Read More: How to score your first AI quick wins: FAQ chatbots

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