Posts by Melody Smith
Understanding AI
Machine learning models are growing in complexity and researchers are improving models that have trouble understanding decisions. This interesting subject came to us from RT Insights in their article, “MIT Researchers Create Explanation Taxonomy to ML Models.” In finance, healthcare, and logistics, businesses are attempting to implement artificial intelligence (AI) in their decision making processes but…
Read MoreEmerging Tech Applications
Emerging technologies are being used for different things every day. A systematic approach to retraining deep learning artificial intelligence (AI) algorithms to deal with different situations has been developed by climate researchers in the United States, and they discovered fascinating new approaches for creating training algorithms. Physics World brought this interesting information to us in…
Read MoreMoving Search Beyond Traditional
Search has undergone significant evolution over the years, driven by advances in technology and changes in user behavior. This interesting topic came to our attention from 9to5Google in their article, “Report: Google making Search more ‘visual, snackable, personal, and human’”. Traditional search engines used keyword matching to retrieve relevant results. However, with advancements in natural…
Read MoreThe Potential of Emerging Tech
Emerging technologies are constantly evolving, and their adoption and integration into society can lead to significant changes in the way we live, work, communicate, and interact. Identifying, explaining, and assessing emerging technologies that have the potential to change the world is at the core of what the Technology and Science Insights (TSI) team does at the UK’s…
Read MoreClean Data
Deep learning training is when a deep neural network learns how to analyze a predetermined set of data and make predictions about what it means. It involves a lot of trial and error, until the network is able to accurately draw conclusions based on the desired outcome. Constructing training data sets for deep learning models involves…
Read MoreThe Importance of Data Quality
Data quality is of utmost importance in today’s data-driven world. High-quality data serves as the foundation for making informed decisions, deriving accurate insights, and developing effective strategies. MarTech brought this interesting information to our attention in their article, “6 marketing automation use cases where AI can help with data quality.” Data quality directly impacts the…
Read MoreShifting of Terms
Among the latest trendy terms, data mesh is making its way to the top. But what is it? This interesting topic came to us from TechTarget in their article, “Benefits of data mesh might not be worth the cost.” A data mesh is a decentralized data architecture that organizes data by a specific business domain providing…
Read MoreMetadata and Findability
Metadata describes and explains data. It is often referred to in relation to photos, because modern photos’ data format includes device, location, and timestamp data for your camera. Those three things are essentially called metadata. It has been a widely used term for decades, but how much do you know about metadata? This interesting topic…
Read MoreThe Impact of Governing 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…
Read MorePowering Semantic Search
Artificial Intelligence (AI) and semantic search work together synergistically to enhance the accuracy and effectiveness of information retrieval and search experiences. This interesting topic came to us from Red Skins 101 in their blog post, “The Benefits of Integrating AI and Semantic Search in Knowledge Management.” In today’s fast-paced world, knowledge management has become an…
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