Blog
COVID-19 and why public datasets are so important
In the wake of the global spread of coronavirus/COVID-19, it is more important than ever to have access to public data. While we are all trying to tackle the outbreak,...
How to tackle bias in AI
AI bias is the phenomenon where a mathematical algorithm expresses the prejudice of its creators or data. As AI is used increasingly across industries, different biases and their subtle consequences...
Recession and AI investments
Over the next 3-4 years, artificial intelligence will transform business processes, customer interactions, supply chains, and ecosystems.
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Shadow AI – The hidden impact of deploying Artificial Intelligence
The other day I met with a client of mine, and the conversation naturally fell on the impact of artificial intelligence. The central part of the discussion focused on the...
AI Governance – The impact on different business functions
Following my article about AI Governance, several additional pieces of information have emerged regarding who in the organization is responsible for what, when it comes to artificial intelligence, and...
Getting started with AI: How much data do you need?
Thirteen years ago, the Economist claimed that oil was no longer the world's most valuable resource, instead, it was data. Thirteen years later, with all the spectacular advances made in...
How to prevent customer churn with AI
Customer churn prevention is a classical business task that can be efficiently addressed using AI. Besides predicting the likelihood of churn, AI can also provide insights into the reasons why...
Why AI in Manufacturing is a necessity
In this post, we will briefly recap on the advancements within the field of AI, where AI/optimization in manufacturing stand, use cases and what to consider when implementing AI.
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