Harnessing BI tools allows the The Namibia Institute of Pathology (NIP) to streamline operations, enhance diagnostic accuracy, and contribute to national health strategies with real-time, data-driven decision-making. … Read More
From Reactive to Proactive: Leveraging Intelligent Data Analytics in Cybersecurity | OQLIS Insights Overflow Podcast
Traditional cybersecurity approaches rely heavily on static, rule-based systems, which struggle to keep up with the pace of modern cyber threats. However, solutions like OQLIS are revolutionising the industry by shifting the focus from reactive responses to proactive, data-driven security measures. … Read More
How Large Language Models Are Shaping the Future of AI | OQLIS Insights Overflow Podcast
Andrew Bosma delved into the profound impact of LLMs on various sectors with Andre Strauss and his company’s latest software offering Vectormind, emphasising their transformative potential and the need for responsible implementation.
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Why AI is good? Why AI is bad? What Tech Experts Are Saying Might Shock You! | OQLIS Insights Overflow Podcast
Dive into the conversation between OQLIS CTO Andrew Bosma and Human-centered AI advocate on the groundbreaking possibilities and hidden pitfalls of AI and automation. … Read More
Why decisions in businesses fail when not driven by data
Throughout the last decade of its customer-centric existence, OQLIS. The Data Insights People have discovered exactly what their customers need and what they are trying to achieve when it comes to business data analytics. … Read More
The Power of Now: Real-Time Analytics Benefits Revealed
Behold the wondrous world of real-time data analytics. A process of collecting, processing, analysing, and visualising data at the moment it is generated or received, providing insights and actionable information immediately or with minimal delay. This approach allows organisations to make faster, and more informed decisions based on the most up-to-date information. … Read More
Demystifying the Myth: AI vs. ML: Are They Really Different?
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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Make sense of your business data utilising smart AI
In order to derive valuable insights from business data, these businesses need to embark on a data journey, the end destination being Artificial Intelligence.
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