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Stashed ideas

53 STASHED IDEAS

Across industries, value chains are facing increasing uncertainty from climatic anomalies, market volatility, and the COVID-19 pandemic, among other factors. Industries as diverse as agriculture, oil and gas, and mining face essentially the same problem: they need the ability to both run with increased efficiency and recover quickly from unforeseen or unexpected challenges. 

If companies simply increase production levels, they’ll inevitably run into bottlenecks—and if failures occur that worsen those bottlenecks, the entire network can slow down and become less resilient.

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Value chains are facing increased uncertainty. A threefold approach underpinned by artificial intelligence can help companies adapt to rapidly changing markets and operational challenges.

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  • Text annotations. A metadata tag is used to show up properties of a dataset. The data uses tags that emphasise criteria such as keywords, sentences, or different feelings in text, such as "angry", to inform the computer on how to differentiate meaning or emotion behind words.
  • Video annotations. Adding metadata to unlabeled video files to develop and train an ML system.
  • Image annotations. Classifying photos in a dataset to train an ML model.
  • Content annotations. Monitoring and applying a pre-determined set of rules and standards to user-generated contributions to assess if a message is allowed.

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AI technologies are evolving so quickly that any specific requirements might soon be overcome by advancement. For that reason, organizations looking to adopt AI need to grow a culture of learning. On the hiring side, that also means looking for people with a sense of curiosity. 

In the early days of adopting any new technology, and AI, in particular, it is often more helpful to have individuals with the curiosity and willingness to try things that are outside their traditional bounds to figure out solutions to problems. 

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