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Predictive analytics News
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.
February 13, 2018
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference.
December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
December 14, 2017
For enterprises to benefit from AI tools and techniques, experts at AI World stressed that technology needs to be grounded by a tight focus on how it can improve business goals.
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TensorFlow is an open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads. Continue Reading
Big data and predictive analytics may seem synonymous, but understanding the constraints of each discipline is the key to extracting business value from projects that combine them. Continue Reading
Unstructured data is information, in many different forms, that doesn't hew to conventional data models and thus typically isn't a good fit for a mainstream relational database. Continue Reading
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The business intelligence software market is large, vibrant and evolving. Learn the ins and outs to make sense of the options and experience the business benefits of BI tools. Continue Reading
Cognitive computing and healthcare data aggregation may prove to be important bedside companions to doctors treating their patients in the era of medical specialization. Continue Reading
Experts share their top criteria for choosing the right machine learning vendor in a market that has become crowded and confusing in the last couple years. Continue Reading
Manage Predictive analytics
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By taking a fresh look at the makeup of their analytics organizations, enterprises can innovate their business models and take advantage of digital disruption. Continue Reading
Analytics teams should focus on data diversity to ensure that their projects deliver the most meaningful insights -- but they must be wary of some stumbling blocks. Continue Reading
AI hype is becoming reality as the technology gains ground in businesses. Get tips on machine learning, cognitive computing and other advanced analytics initiatives in this guide. Continue Reading
Problem Solve Predictive analytics Issues
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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