Posts by Melody Smith
Measuring Data Quality
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it’s up to date. Measuring data quality levels can help organizations identify data errors that need to be resolved and assess whether the data in their IT systems is fit to serve its intended…
Read MoreClassifying Your Holiday Meal
The classification of desserts for holidays or otherwise is a perfect opportunity for information science and food to collaborate. I am always fascinated by unusual and interesting taxonomies. However, it is important to remember that, as entertaining and fun as this is, there is value in classification regardless of the topic. Content managers and information developers will have…
Read MoreNavigating Responsible AI
Artificial intelligence (AI) can be transformative for businesses, but the increased use of the technology inevitably leads to a higher rate of AI system failures. The World Economic Forum brought this interesting information to our attention in their article, “Scaling AI: Here’s why you should first invest in responsible AI.” AI has reshaped industries and…
Read MoreLeaning Into Semantic Technology
It is no secret that natural language processing is directly related to semantic search. This interesting information came to us from Search Engine Land in their article, “How Google uses NLP to better understand search queries, content.” Natural language processing (NLP) and natural language understanding (NLU) are often-confused technologies that make search more intelligent and…
Read MoreEmerging Technologies and Society
Technology innovation is critical to all kinds of businesses around the world and greatly impacts our society. In fact, we are living in one of the most disruptive periods of tech evolution since the Internet first entered the scene decades ago. This interesting topic came to us from Science in their article, “Leveraging technology to…
Read MoreTaxonomies are Part of Education
Learning can be ethereal and abstract. When it comes to employees, organizations need to remember the variations of learning possessed by their workforce and reskill its employees in a way to keep up with the changing technology and culture. Surprisingly enough, taxonomies can help. This interesting topic came to us from ATD Education in their…
Read MoreEnvironmental Taxonomies
Sustainability or green taxonomies developed by governments, international bodies, and non-governmental organizations can help improve the consistency in identifying what, exactly, makes an investment sustainable. This interesting information came to us from Eye on ESG in their article, “Leveraging Taxonomies: How Asset Managers Are Using New Sustainability Classification Systems – Part I.” Investors have increasingly…
Read MoreAI and Predictive Analytics
Festo recently announced a new artificial intelligence (AI) platform for predictive maintenance, predictive quality and energy optimization. Using advanced analytics, Festo AX maps data to learn a component, machine, product or energy system’s healthy state. Festo AX provides actionable information to correct anomalies when data begins trending out of normal. This interesting topic came to…
Read MoreBringing Order to Chaos
Taxonomies can be used in different applications and for different purposes, but at their most basic, they organize and classify. This interesting information came to us from HRM Asia in their article, “Leveraging big data to meet future skills demand in the labour market.” The International Labour Organisation (ILO) has developed a taxonomy that captures…
Read MoreData Quality is Essential
Data quality is the measure of how well suited a data set is to serve its specific purpose. Measures of data quality are based on data quality characteristics such as accuracy, completeness, consistency, validity, uniqueness and timeliness. Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. This interesting information came…
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