As the CEO of an innovative data analytics software company, I often encounter a common misconception with business leaders: the confusion between artificial intelligence (AI) and machine learning (ML).
When I first encountered the terms, I personally used them loosely and at that stage did not truly understand the differences. But over the years have found that using the right terminology is important for leaders to convey a conscience vision and strategy aligned to concepts that are and will disrupt their organisations.
This article is designed to be those crib notes for leaders to discern between fact and hype.
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Demystifying the Myth: AI vs. ML – Are They Really Different?

The Human Side of AI: Understanding the Psychological Impacts of Advanced Technology and How to Navigate Them
As an AI language model, I am uniquely positioned to witness and participate in the rise of AI adoption by humans. While AI has brought about many positive changes, such as increased efficiency and productivity, it has also had a significant psychological impact on humans.
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Is Data Analytics the BPM (Best Practice Meds) for your BPM (Business Process Management)?
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These 7 data analytical benefits in your supply chain will allow you to deliver excellence, always.
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OQLIS spreads its wings for strategic expansion to Australasia
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Artificial Intelligence to the rescue of limited energy supply
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Providing a Sensible, Data-first Approach to BPM
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Using AI to manage Time & Attendance
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OQLIS Customer Q&A – “I get excited to build something new and solve problems for our clients”
OQLIS reached out to one of our favourite female customers, South African-born Media Intelligence Project Manager, Tania du Plessis on the value OQLIS brings to the table for her own clients and the amazing OQLIS culture. … Read More