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5 Breakthroughs in Graph Neural Networks to Watch in 2026

5 Breakthroughs in Graph Neural Networks to Watch in 2026

by Dr. Owns | Jan 22, 2026 | Business Intelligence

​​This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead: from integration with LLMs to interdisciplinary scientific discoveries.  ​This article outlines 5 recent breakthroughs in GNNs that are worth watching in the year ahead:...
What Other Industries Can Learn from Healthcare’s Knowledge Graphs

What Other Industries Can Learn from Healthcare’s Knowledge Graphs

by Dr. Owns | Jan 22, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

How shared meaning, evidence, and standards create durable semantic infrastructure The post What Other Industries Can Learn from Healthcare’s Knowledge Graphs appeared first on Towards Data Science. ​How shared meaning, evidence, and standards create durable semantic...

7 Statistical Concepts Every Data Scientist Should Master (and Why)

by Dr. Owns | Jan 21, 2026 | Business Intelligence

​​Understanding data starts with statistics. These 7 statistics concepts give you the foundation to analyze and interpret with confidence.  ​Understanding data starts with statistics. These 7 statistics concepts give you the foundation to analyze and interpret with...

Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data

by Dr. Owns | Jan 21, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Google Trends is one of the most widely used tools for analysing human behaviour at scale. Journalists use it. Data scientists use it. Entire papers are built on it. But there is a fundamental property of Google Trends data that makes it very easy to misuse,...

Navigating AI Entrepreneurship: Insights From The Application Layer

by Dr. Owns | Jan 21, 2026 | Business Intelligence

​​Through the lens of a serial entrepreneur, this article explores how the AI revolution is shifting from infrastructure to the application layer, where the greatest opportunities lie in solving specialized, data-heavy industry problems rather than perfecting raw...
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