Authors: Alex Essebier, Vivian Mai and Sahil Bahl Most organisations face everyday problems that can be solved faster and more accurately by machines. A prime example is the area of logistics...
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Data literacy is an essential skill for all professionals “In a world of more data, the companies with more data-literate people are the ones that are going to win” -...
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by Christina Evans, Kim Quiñones and Thomas Maas A data strategy sets a clear objective of what companies ultimately want to achieve with data in their organisation. Most companies believe...
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by Akshay Santosh and Tamsin Coryn-Wyllie There is more data available than ever before but companies are struggling to use it. Data storytelling can help. Every day 2.5 quintillion bytes...
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by Katinka Gereb We used AI exam proctoring assistant as a use case for AWS Rekognition The education sector is one of the industries that has been impacted the most...
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by Celia Vandestadt, Sadaf Afrashtehand & Edwin Kurniawan An ethical lens is needed for the responsible use of AI “AI will be the best or worst thing ever for...
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By Mantas Zegeris-Kaleda & Edwin Kurniawan Bridging the gap between data science and business Anyone who has watched Moneyball will know that it can be one of those “feel-good” movies,...
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By Thomas Maas & Celia Vandestadt First let’s start with the question: Why do you need to consider a strategy for your data? An abundance of data and computing sources has...
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In the first part of this primer, we explored what it means for data to…
Anomalous (adj.) “deviating from a general rule,” 1640s, from Late Latin anomalous, from Greek anomalous…
Artificial Intelligence (AI) and Machine Learning (ML) is seemingly everywhere. An ML algorithm probably recommended…
“People don’t buy what you do, they buy why you do it”. Simon Sinek. Welcome…
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