Posts Tagged ‘Predictive analytics’
Using Technology in Productive Ways
What is social good and how can technology make it happen? This interesting topic came to us from Machine Learning Times in their article, “How Machine Learning Works for Social Good.” Social good is something that benefits the largest number of people in the largest possible way, such as clean air, clean water, healthcare and…
Read MoreUsing Visual Analytics to Get the Most Out of Your Data
According to research, a vast majority (94%) of large enterprises say data visualization and analytics are critical to their business growth and digital transformation. However, another study estimates business intelligence and analytics adoption hovers around 30% of all employees and given that staff are making decisions daily in response to customers’ needs, it is a missed opportunity not…
Read MoreCollaboration with Intelligence
Business intelligence (BI) and artificial intelligence (AI) are increasingly crucial yet often misunderstood tools in an enterprise context. Every government agency is loaded with data that it could use to fulfill its mission more efficiently and effectively. But getting from here to there isn’t necessarily an easy proposition. This where BI and AI can be…
Read MoreUsing Emerging Technologies to Prevent Suicide
Johns Hopkins University researchers have developed a machine learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior. Health IT Analytics brought this interesting topic to our attention in their article, “Machine Learning Uses Predictive Analytics For Suicide Prevention.” Researchers discovered specific risk factors associated with suicidal thought and behavior among adolescents, helping…
Read MoreThe Importance of Analytics
According to research, a vast majority (94%) of large enterprises say data visualization and analytics are critical to their business growth and digital transformation. Another study estimates business intelligence and analytics adoption hovers around 30% of all employees and given that staff are making decisions daily in response to customers’ needs, it is a missed opportunity not to involve…
Read MorePredictive Analytics Uses Big Data to Look Forward With Critical Sight
The term big data is no longer new. This data that contains greater variety, arriving in increasing volumes and with more velocity has for years now been in the daily conversations in business. IoT World Today brought this interesting topic to us in their article, “Transforming Data with Predictive Analytics.” With big data comes predictive…
Read MoreMining Data for Insights
The primary purpose of predictive analytics is to identify, with a high degree of probability, what will happen in the future. This separates predictive analytics from descriptive analytics, which helps analysts understand what has already happened, and prescriptive analytics, which uses optimization software to determine the best decisions to deal with the trends revealed by…
Read MoreData Rules the World
Gone are the days when gut instinct and executives’ opinions were the sole basis for decisions. New goals, priorities and principles are driving the future. This interesting topic came to us from Venture Beat in their article, “Predictive transactions are the next big tech revolution.” There is a powerful disruption happening. Predictive transaction processing is set…
Read MoreUsing Predictive Analytics for Planning
Healthcare organizations are taking advantage of predictive analytics to identify trends and foresee challenges. Fierce Healthcare brought this topic to us in their article, “Trilliant Health rolls out predictive analytics to forecast healthcare demand down to local level.” Health systems have been under tremendous revenue strain since the COVID-19 pandemic began. As the pandemic continues…
Read MoreImproving Strategy with Predictive Analytics
Predictive analytics can provide insights to make strategic decisions by utilizing a variety of statistical techniques, such as automated machine learning algorithms, deep learning, data mining and artificial intelligence, to create predictive models. Those models extract information from datasets, identify patterns and provide a predictive score for an array of organizational outcomes. This interesting topic…
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