The Challenges of Emerging Tech

The question of whether emerging technology should be regulated is a complex and nuanced one. The answer depends on various factors, including the specific technology in question, its potential benefits and risks, and the broader societal context. This interesting information came to us from Governing in their article, “How Should Government Regulate Emerging Technology?” There…

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What is a Taxonomy?

Understanding taxonomies and how they are used can be challenging, depending on the context and audience. The Accidental Taxonomist brought this interesting topic to us in their article, “Taxonomy Definition.” Taxonomy is the science of classification – a basic means of understanding the world around us. Creating information order and structure is what a taxonomy is all about. Classifying documents and…

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Living with Machine Learning

The field of machine learning continues to evolve, and there is no denying its impact on society and various aspects of our lives. When building machine learning models and applications, it has never been more important for practitioners and innovators to consider a broader range of perspectives. This interesting topic came to us from The…

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Training AI

More and more, artificial intelligence (AI) agents trained through machine learning are reaching skill and discernment levels comparable to humans. Mark Tech Post brought this interesting information to our attention in their article, “A New AI Study Reveals Machine-Learning Model Achieves Human-Level Skill in Describing Chemical Smell.“ In the rapidly evolving landscape of technology, the…

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Analytics in AI

Generative artificial intelligence (AI) is beginning to materially affect what organizations can do with their data. Tech Target brought this interesting information to us in their article, “Generative AI hype evolving into reality in data, analytics.” Generative models can generate synthetic data that resembles real data, helping to augment a dataset and increase its size.…

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About the Things

The Internet of Things (IoT) is going through mass adoption in various fields. The world is slowly heading for the transformation of the IoT into the Internet of everything. This interesting topic came to us from Semiconductor Engineering in their article, “Data Security Takes Front Seat In Industrial IoT Design.” As little as 10 years…

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Understanding the Terminology

Artificial intelligence (AI) complicates the landscape of human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points, and draw conclusions. They can reason, observe, and plan. It’s very common to hear the terms “machine learning” and “AI” thrown around interchangeably, but they are often used in the wrong context. They are similar…

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The Crucial Role of Data Quality in the Age of Artificial Intelligence

In the rapidly evolving landscape of artificial intelligence (AI), data quality stands as a cornerstone for success. The power and effectiveness of AI systems rely heavily on the quality of training data. As organizations increasingly harness the potential of AI to drive innovation and make data-driven decisions, the importance of maintaining high-quality data becomes paramount.…

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Can You Trust the Data?

Data is swiftly overtaking physical assets in terms of value to organizations. Keeping data safe, private, consistent, and of high quality is as important to enterprises today as maintaining factory machinery was in the industrial age. Tech Target brought this interesting topic to our attention in their article, “Enhance data governance with distributed data stewardship.”…

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