News
Fighting Fraud
Internet fraud continues to be a menace in society, especially in healthcare and financial institutions. Many fintech companies have been victims of fraud. Detection of these attacks comes via two paths: through inconsistent traditional methods or using ever-growing artificial intelligence (AI) mechanisms. Entrepreneur brought this interesting information to us in their article, “How AI and Machine Learning…
Read MoreToday’s Data Governance Needs
Data integrity is the basis for any data decision, and one way to protect it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in 2022.“ Modern…
Read MoreData Management and Business Intelligence
As many data preparation and -management tasks get automated, insight generation and action are the next likely targets for automation. Tech Target brought this topic to us in their article, “Automation, more security and governance next big BI trends.” Business intelligence (BI) is about taking proactive decisions to pull together information that answers questions about…
Read MoreThe Digital Taxonomist
A clear taxonomy keeps your content organized and allows your audience to easily find your content through either the navigation structure on your website or through search. Both digital taxonomists with metadata and cataloging librarians employ knowledge management and organization based on the same information science theories, but the applications and environments in which they…
Read MoreUsing Machine Learning to Better the Environment
Many cities are looking at how they can employ emerging technologies like machine learning to improve the environment. Carbon reduction programs aimed at the business and residential building sectors are a top priority. Tech Explorist brought this interesting topic to our attention in their article, “Machine Learning can be used to improve energy use in…
Read MoreTraining 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 MoreAI and the Environment
Everyone is talking about artificial intelligence (AI) – the new developments, the unearthed fears, and the impact on society. What they haven’t mentioned much is the environmental impact of AI. New Scientist brought this interesting information to our attention in their article, “Artificial intelligence training is powered mostly by fossil fuels.“ AI has been cited…
Read MoreEmerging Technologies and the Future
Even with the evolution of emerging technologies, memory remains one of the most critical technologies for enabling continued advances in artificial intelligence (AI) and machine learning processing. Fierce Electronics brought this interesting information to us in their article, “Memory is key to future AI and ML performance.” The future will demand that AI and machine…
Read MoreExacting Value from Data
All organizations need to plan how they use data, so that it is handled consistently throughout to support profitable outcomes. Organizations successfully accomplishing that consider the who, what, how, when, where, and why of data in advance, not only to ensure security and compliance but to extract value from all the information collected and stored.…
Read MoreData and the Impact on Healthcare
Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Analytics Insight brought this interesting information to us in their article, “How BI and Data Analytics Are Changing the Healthcare Sector?“ Data analytics has had a big impact in healthcare,…
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