Understanding What It Means to Be Data Driven
The term data driven is widely used to describe approaches that rely on information and evidence to inform decisions. In its simplest form, it refers to using data to evaluate options, measure outcomes and guide actions rather than depending solely on intuition or tradition. This approach is now common across sectors as organizations seek greater…
Read MoreWhen Search Meets AI: Turning Content into an Asset, Not a Risk
Search and artificial intelligence (AI) are no longer separate conversations. They are deeply intertwined, shaping how organizations surface knowledge, support decisions and interact with the people they serve. As AI-powered search becomes more common, the quality of the underlying content matters more than ever. When content is properly structured, enriched and governed, AI can amplify…
Read MoreData Management and Transparency in the Age of Artificial Intelligence
Artificial intelligence (AI) has become a central part of how organizations process information and support decision making. As AI systems are integrated into daily operations, the volume of data they rely on continues to grow. This expansion has shifted attention toward how data is managed, evaluated and governed. The effectiveness of AI is closely tied…
Read MoreAnalytics and Safety
The growing use of data analytics is reshaping how law enforcement approaches public safety. As agencies gain access to more information than ever before, the ability to collect, organize and interpret that data has become central to preventing and solving crime. Rather than replacing traditional investigative methods, analytics enhances them, bringing new precision to the…
Read MoreLet the Taxonomy Shine
The digital age has given organizations an unprecedented volume of data. However, without structure, that abundance can quickly turn into confusion. The ability to manage and organize knowledge effectively determines whether information serves as a strategic asset or becomes an operational obstacle. KM World brought this important topic to our attention in their article, “Taxonomies…
Read MoreLife Sciences Technology Evolving
The life sciences industry is producing more data than ever before. From clinical trials and electronic health records to genomic sequencing, wearable devices and real-time monitoring systems, the amount of information generated is vast. Effectively managing this data is challenging, but when organizations succeed, it becomes a powerful driver of progress. Wolters & Kluwer brought…
Read MoreTrust and Sustainability
As organizations face growing pressure to address environmental concerns and comply with stricter regulations, technology leaders are seeking ways to reduce their carbon footprint without sacrificing performance. Generative artificial intelligence (GenAI) is emerging as a key tool in advancing sustainable IT practices, offering new approaches to efficiency and responsible innovation. This topic was inspired by…
Read MoreDirty Data and the Cost of Getting It Wrong
Dirty data is one of the most persistent and underestimated challenges organizations face today. It shows up as duplicate records, missing fields, outdated information or data that is simply wrong. While these issues may seem minor on their own, together they can quietly undermine decision making, customer trust and operational efficiency. This interesting topic came…
Read MoreRethinking Governance for the Age of Artificial Intelligence
Artificial intelligence (AI) is becoming embedded in everyday business processes, influencing decisions and strategic outcomes. As these systems grow more autonomous and adaptive, traditional governance approaches are proving insufficient. Frameworks built for static data and predictable workflows do not fully address technologies that learn from data and adjust behavior over time. Ey brought this interesting…
Read MoreAccessibility in Data Science
Accessibility in data science extends beyond making datasets available. It involves ensuring that the tools, methods and outputs of data science can be understood and used by diverse audiences, including individuals with varying technical skills, backgrounds and abilities. True accessibility means reducing barriers to participation so that insights are not limited to a select group…
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