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Predictive analytics News
September 26, 2018
BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people.
September 20, 2018
While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools.
July 19, 2018
Data analytics in government agencies lack organization, focusing on immediate problems instead of attacking underlying causes without a unified strategy or system.
March 23, 2018
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
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IoT analytics projects can supply important insights to aid the business bottom line. But first you must understand the varieties of data and pick the best tool for the job. Continue Reading
Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases. Continue Reading
Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
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Applying IoT data analysis to info gathered from connected devices is key to extracting the data's potential value. Knowing how to get from potential to realized, though, is the challenge. Continue Reading
They don't own the same depth of data science skills, but automated predictive analytics tools hatch a new breed of 'data scientists' who can produce actionable predictive models. Continue Reading
From Tableau to Google, vendors increasingly incorporate augmented and automated analytics tools into their software to speed analytics work and open it up to more users. Continue Reading
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Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives. Continue Reading
The University of California, San Diego implemented an SAP HANA platform that uses advanced analytics and machine learning to run operations and help students graduate on time. Continue Reading
To ensure that advanced analytics applications are relevant to business operations, data scientists are collaborating with workers who are experts on business data. Continue Reading
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As the amount of patient data in hospitals continues to grow, healthcare big data analytics can help improve patient safety by providing valuable insights in near-real time. Continue Reading
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading
Regulatory compliance, loan covenants and currency risk are common targets, as organizations sift through ERP and other data looking for patterns that might give early warning. Continue Reading