Governing Important Data
Data governance in healthcare is essential for upholding patient privacy, ensuring data integrity, supporting clinical decision-making, facilitating research, and maintaining regulatory compliance. All these measures ultimately contribute to better patient care and overall healthcare system efficiency. This interesting information came to us from Health Leaders in their article, “Why Data Governance in Healthcare is Essential…
Read MoreTaking Data to the Next Level
Enriching metadata with better tags and descriptions makes it easier for anyone to search and find quicker and more easily. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of cultural heritage metadata with minimal resources. Involving humans in this work however remains important. This interesting topic came to…
Read MoreCollaboration Without Data Silos
In the ever-evolving landscape of data-driven decision-making, organizations are increasingly realizing the drawbacks of data silos—insulated pockets of information that hinder collaboration and limit the potential for innovation. Martech brought this topic to our attention in their article, “Breaking down data silos: Overcoming obstacles and planning for the future.” Data silos often emerge when different…
Read MoreMan vs. Machine
In the rapidly evolving landscape of technology, the debate pitting artificial intelligence (AI) against human skill has become more polarized than ever. More and more, 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…
Read MoreSolid Data
Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, it is vital to establish…
Read MoreSSP Discussion Group Formed Around AI
In the past several years, hype has increased around the use of artificial intelligence (AI) in the scholarly publishing industry. The discussions have varied, as has the support. The Scholarly Kitchen brought this interesting news to our attention in their article, “Guest Post: Introducing SSP’s AI in Scholarly Publishing Community of Interest (CoIN).” Many educational…
Read MoreSearch is Evolving
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. With advancements in natural language…
Read MoreTransformed
The ongoing push for digital transformation has long been driving organizations to upgrade and overhaul technology stacks toward service-based models. In 2023, the focus on people has driven digital transformation more than ever as companies have continued to develop inherently cheaper hybrid workplaces. Analytics Insight brought this interesting news to our attention in their article,…
Read MoreUnraveling the Power of Semantic Modeling
In the realm of artificial intelligence (AI), data analysis, and information retrieval, the concept of semantic modeling has emerged as a powerful tool for understanding the meaning behind the data. Semantic modeling goes beyond traditional data processing by capturing the inherent relationships and contextual nuances in information. Semantic modeling revolves around the idea of representing…
Read MoreUndertaking Search
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. With advancements in natural language…
Read More