Using Emerging Tech to Improve Healthcare Insurance Processes
Artificial intelligence (AI) and machine learning are more frequently being utilized as operational necessities for addressing healthcare’s more systemic challenges. This interesting news came to us from AIThority in their article, “How AI and Machine Learning Can Transform Utilization Management.” Many clinical applications already leverage integrated AI capabilities. Unfortunately, utilization management has not yet evolved.…
Read MoreThe Demand for Taxonomists and Ontologists
Are taxonomists and ontologists as rare as unicorns? Before addressing that question, let’s talk about the difference between taxonomy and ontology first. It can be a complex matter. A taxonomy is a knowledge organization system, a set of words that have been organized to control the use of terms used in a subject field into a…
Read MoreCurrency in a Data Driven Culture
Data is all around us. It is in the form of numbers, spreadsheets, pictures, videos, and many other things. Companies are now using data and leveraging it to derive impact and grow. Today, data is important than ever. And for organizations to survive and expand, a data-driven culture is very critical. CDO Trends brought this…
Read MoreMaintaining Integrity in the Data Management Process
Data integrity is key for sound business decisions. Insuring data integrity in any industry is important but when it comes to our environment, it takes on a special kind of importance to the future of the human race. This interesting topic came to us from Cleanroom Technology in their article, “How digitalising your EM data…
Read MoreProtecting Machine Learning
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Interestingly, many machine learning libraries and online services don’t even require a thorough knowledge of machine learning. This interesting topic came to us from Pete Warden’s Blog in his post, “How…
Read MoreUsing Emerging Technologies in Seismology
Predictive analytics is used in meteorology primarily, but also healthcare and other industries where data is available to help determine and advise best next steps. Can it also be used to predict natural phenomenon’s like earthquakes? This interesting news came to us from KTLA out of Los Angeles in their article, “Earthquake researchers hope artificial…
Read MoreFindability and Taxonomies
Large amounts of data are generated in chemistry labs, both digitally and non-digitally. They are often reported in ways non-accessible to both humans and machines. Nature brought this interesting information to us in their article, “Making the collective knowledge of chemistry open and machine actionable.” The authors of this particular article argue that a modular…
Read MoreMachine Learning in Practice
Machine learning is not new. Across the business world, machine learning permeates more and more offerings and processes. CIO Insight brought this topic to us in their article, “What is Machine Learning?“ Although machine learning has been around for decades, its practical applications are now coming into focus as it helps companies better understand their customers. As…
Read MoreManaging Too Much Data
When the amount of new data generated surpasses the limit of institutions to manage it, and makes it difficult for analysts to analyze it and researchers to deduce any useful conclusions from it, this is known as a data deluge. This interesting topic came to us from the Society for Human Resource Management (SHRM) in…
Read MoreIt Needs More…
You thought I was going to say cow bell, didn’t you? Actually we need more power. Digital technologies are changing the world. With over 2.5 exabytes of data already being created every day, the data deluge is expected to increase. Analytics Insight brought this interesting topic to our attention in their article, “The Future of…
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