Learn About Artificial Intelligence AI

Fennaio | learn about artificial intelligence

Fennaio is expert at integrating Artificial Intelligence, Machine Learning and Deep Learning into new and existing software, systems and processes

To start on your AI journey, it's crucial to understand what AI is, and why you should be using this incredible technology.

In the section below, which is aimed at executives and business decision makers, you can find out all you need to know about AI, Machine Learning, Deep Learning and Data Science.

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What is Artificial Intelligence (AI) ?

Artificial Intelligence aims to mimic natural intelligence - it is able to carry out tasks that usually require human intelligence. It does this by learning and adapting from past data and experience, meaning it can make highly informed decisions.

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Why should I use AI?

Now is the time to start using Artificial Intelligence and Machine Learning. AI offers a fantastic advantage over competitors and can be used to solve and improve efficiency of a multitude of business, science, tech and related tasks and problems.

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What is Machine Learning?

Machine Learning is at the centre of Artificial Intelligence. ML uses algorithms to learn relationships from and within vast amounts data of near unlimited complexity in order to make decisions in a highly efficient and accurate manner.

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What is an Artificial Neural Network?

Artificial Neural Networks are the learning components of Machine Learning, and are fundamental to AI. Built from Artificial Neurons, these multi-layered networks learn anything thrown at them with extraordinary accuracy.

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What is Deep Learning?

Deep Learning is the term given to Artificial Intelligence that uses Machine Learning comprised of an Artificial Neural Network that contains more than one hidden layer. Typically Deep Learning is used for AI and ML tasks that involve relatively complex data.

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What is Data Science?

Data Science involves the application of scientific methods and algorithms to obtain knowledge from data. Crucially, it involves specific intervention by statisticians and scientists. For this reason, it is different to Machine Learning and AI which can function independently.

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