"Demystifying AI" (Series 3/10)

This is the third article of the series "Demystifying AI".

As we've discussed before, AI's presence is set to revolutionise how we interact with technology on a daily basis. Eventually, AI is expected to be a normal part of our daily life, either as a supportive 'copilot' or as a complete replacement for human involvement.

The value is straightforward: if you use the most appropriate and constantly changing data sources in the context of AI and machine learning, you have the opportunity to predict the future.

Your data is only as good as what they do with it and how you manage it.

One key aspect to delve into is the immense value of leveraging big data in the context of machine learning. Machine learning models excel at handling big data, encompassing structured (like databases), semi-structured (like XML), and unstructured (like images or text) formats. However, the complexity of these data types—often noisy, inconsistent, or incomplete—requires advanced cleaning and preprocessing techniques.

Machine learning models can handle big data well.

But here's where the magic happens! ??

By harnessing big data analytics, we gain access to a diverse array of information sources, including social media posts, online transactions, sensor data, GPS coordinates, satellite imagery, and administrative records. These alternative data sources offer invaluable insights into user interactions, sentiment analysis, and trending topics.

The result? A hyper-personalised recommendation engine, utilised by e-commerce and social networking sites to enhance user experiences and user flow.

?? #DemystifyingAI #AI #BigData #MachineLearning #FutureTech

Missed the previous articles? Catch up here:

1?? First Article

2?? Second Article