News
Using AI to Detect Fraud
Artificial intelligence (AI) continues to be deployed in many different areas and for many different applications. Brookings brought us this interesting information in their article, “Using AI and machine learning to reduce government fraud.” Both public and private sector organizations are looking to this emerging technology to manage financial resources and monitor fraud. Advanced algorithms…
Read MoreDeep Learning Used in the Fight Against Cyberattacks
In traditional machine learning, the learning process is supervised, and the programmer has to be extremely specific when telling the computer what types of things it should be looking for. This process, called “feature extraction” can be laborious, and the computer’s success rate depends entirely upon the programmer’s ability to accurately define a feature. The advantage of…
Read MoreClassifying History for Findability
Taxonomy is the science of classification – a basic means of understanding the world around us. It is also key in the act of identifying and archiving. This interesting topic came to us from Reflector in their article, “Anthropology students help reclaim history of local cemeteries.” East Carolina University students in the Department of Anthropology…
Read MoreHedging Their Bets
In the world of academia and journal publishing, duplicate submission for peer review is a huge no-no. In some cases, authors have been reprimanded or even banned from publishing in the affected journals. The Scholarly Kitchen brought this interesting topic to us in their article, “The dawn of the age of duplicate peer review.” Why…
Read MoreAI’s Future in Healthcare
A common use of artificial intelligence (AI) in healthcare involves natural language processing (NLP) applications that can understand and classify clinical documentation. But there is more that AI can bring to the party. This interesting information came to us from Science in their article, “Artificial intelligence for global health.” AI has demonstrated significant progress in the detection,…
Read MoreThe Power of Data Analytics
Data management and analytics continue to become more important to all organizations, regardless of industry. It has become increasingly important to keeping government operations efficient and transparent. GCN brought this topic to our attention in their article, “How states can get the most from data analytics.” Before and most especially during the pandemic, data analytics…
Read MoreMachine Learning and Cybersecurity
Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention. It uses clustering techniques to look at data and group it largely to determine whether a behavior is normal or anomalous. Tech Republic brought this topic to us in…
Read MoreDigging Through Data
As we live and work in an increasingly digital space, we are all influenced by the information we consume on a daily basis. At the beginning of 2020, the amount of data in the world was estimated to be 44 zettabytes. Just imagine what it is today. This interesting information came to us from CIO Insight in…
Read MoreDigital Transformation and Data-Driven Technology
Much like other industries, healthcare continues to recognize the value of data and digital transformation. This has been accelerated by the COVID-19 pandemic and need for data-driven decision making in real time. To do this, many organizations are relying on the cloud to make their future-forward and data-centric thinking a reality. Healthcare Global brought this…
Read MoreGetting the Most Out of Machine Learning
Data scientists build machine learning models, but they are almost always unaware of the production aspects of deploying or scoring those models. Enterprise AI brought this interesting topic to us in their article, “Overcoming the Challenges of Machine Learning Models.” It is an exciting time for the field of machine learning. It is making advances…
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