Knife Knowledge FAQ

• What is Artificial Intelligence (AI)
• "Artificial Intelligence describes a process in which machines learn how to learn. Computer systems imitate human intelligence by simulating intelligent behaviour based on specified or learned patterns. An AI system perceives its environment (such as by using cameras and sensors), recognises relationships, and derives actions from them."
• What can AI do – and what is it not able to do?
• Analysing images, evaluating data, identifying illnesses – when it comes to these tasks, artificial intelligence is, in part, already superior to the human brain. It also works without becoming fatigued and is able to respond within a fraction of a second. Thanks to these characteristics, AI is used in areas such as autonomous driving, driver assistance systems, and industrial applications. Collaborative robots, for example, can be trained in new tasks using sample data and machine learning. The limits of AI systems lie in direct interactions with people.
• What is Machine Learning (ML)
• Machine Learning is a form of predictive Modelling. It is essentially the development and configuration of models from data with the goal of making predictions on new data.
• How does Machine Learning ‘Learn’
• At a high-level, algorithms learn by generalising from multiple historical examples, For example:‘Inputs like this usually come before outputs like that.’ The generalisation, e.g. the learned model, can then be used on new examples in the future to predict what is expected to happen or what the expected output will be.
• How does AI work with RPA?
• Thanks to the increasing availability and affordability of machine learning, natural language processing and optical character recognition solutions (all different categories of AI), companies can now access the tools they need to sort, decipher and process.Also, because RPA platforms integrate so well with other technologies, AI-enabled tools can be easily embedded into the process automation environment. This means that once the unstructured data has been transformed into structured data using AI capabilities, the standardised dataset can then be passed on to an RPA bot automatically.