Automated Analytics

Knowledge Graphs: Unlocking the Power of AI and NLP

In the last edition we investigated natural language processing (NLP) and the role it plays in modern technology. While NLP is a powerful tool for extracting text, it takes too long for humans to analyze the vast amounts of data that is gathered. This is where knowledge graphs play a key role. These specialized graphs provide structured, interconnected data that artificial intelligence systems (AI) can reason with after NLP has processed raw text.

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The Practical Power of Graphs

When most people think about graphs, they often imagine simple diagrams from a math class, like bar graphs or pie charts. However, in the world of computer science and mathematics, "graph" refers to a structure of nodes (vertices) connected by edges. This concept, studied in graph theory, serves as the foundation for solving complex problems in many diverse industries, such as transportation, telecommunications, social networks, and bioinformatics.

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Artificial Intelligence in Modern Software Engineering

In the evolving landscape of software engineering, Artificial Intelligence (AI) has emerged as a transformative force.

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AI and Machine Learning in the Battle Against Cyber Threats

In the ever-evolving landscape of cyber threats, where hackers are perpetually devising new methods to breach defenses, traditional cybersecurity measures often fall short.

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Why Automate Data Analytics?

It’s no secret that the world of data is growing at a breathtaking pace. Analytics play a critical role in putting this data in context and ultimately transforming it into useful information. Automation goes a long way in enabling enterprises to achieve and maintain data management scalability.

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