In the field of analytics, Artificial Intelligence (AI) is exploited to automate the analysis and interpretation of large amounts of data. This can be done using machine learning (ML) algorithms to identify patterns and trends. These algorithms can then be deployed to make predictions or recommendations based on the data. What is Artificial Intelligence (AI)? AI refers to the ability
For those unaware, AI (artificial intelligence) is not a recently coined term, nor was it coined in the last few years In the modern era, John McCarthy, at the Dartmouth Conference, coined the term “Artificial Intelligence” in 1956. But it was first conceptualised in 1943 by Warren McCulloch and Walter Pits. AI started gaining traction in the 21st century. It
Data is omnipresent and now even more accessible to organisations than ever before. In fact, according to Statista, in 2021, the global data analytics market was valued at over $240 billion. In addition to that, it is forecasted to further peak at a market value of over 650 billion dollars by 2029. These growth predictions are fuelled by the acceleration
In today’s fast-paced digital world, many companies are beginning to realise the importance of data to guide decision-making and support their corporate strategies. With the emergence of new technologies, and the proliferation of the internet and social networks, the number of digital data pools will only continue to grow. However, this augmented availability of data begs the question of how