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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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Lies, Damn Lies, and Data Visualization

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Douglas Duncan, CIO, Columbia Insurance Group

Predictive Analytics in Healthcare: It's Not Happening

Predictive Analytics in Healthcare: It's Not Happening
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Predictive Analytics Key Component of Customer Experience Management

Predictive Analytics Key Component of Customer Experience Management
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Predictive Analytics in Higher Education

Predictive Analytics in Higher Education
Linda Hartford, CIO, Northeast Wisconsin Technical College

Revitalizing Data Collection with Next- Gen Technology

Revitalizing Data Collection with Next- Gen Technology
Marci Augustine, Director, Business Intelligence & Analytics, Xo Group Inc.

The Numbers Game: Making Hospital Data User-Friendly

The Numbers Game: Making Hospital Data User-Friendly
William Feaster, M.D., VP, Chief Health Information Officer, Choc Children’s

Predictive Analytics in the Insurance Industry

Predictive Analytics in the Insurance Industry
Hongyuan Wang, PhD & MAS, Director of Predictive Analytics, Data and Analytics, Employers

Three Types of Analytics Used in Practice and Their Links

Three Types of Analytics Used in Practice and Their Links
Victor S.Y. Lo, PhD A.I. and Data Science Center of Excellence Leader, Workplace Investing, Fidelity Investments

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Predictive Analytics Opens Doors for a Safer Manufacturing!

By CIO Applications| Tuesday, June 11, 2019
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Predictive AnalysisFREMONT, CA: Data analytics is all set to play a crucial role in the manufacturing sector. Safety evaluation is among the most critical applications of predictive analytics in manufacturing industries, and safety professionals are adopting it to enhance the security privileges and safety programs of their companies. Previously, the safety programs mostly depended on manual evaluation of the work environment, which left a lot to be desired. Data analytics is a much more powerful tool that can bring about improvements.

After an incident occurs, one must determine the root cause immediately. This analysis helps in predicting such mishaps in the future. Predictive analysis software can help create potential risk scenarios and point out risk factors, thereby reducing the chance of their occurrence once again. Hence, scenario modelling is possible with the help of predictive analytics. Predictive analytics also helps in monitoring equipment in real time. The system can detect potential breakdowns, and machinery can be fixed at once without lags or delays, making use of predictive maintenance conceptualizations.

In the chemical manufacturing industry, production often involves toxic chemical reactions. Manufacturing units must have all the safety controls to avoid any possible hazards. Predictive analytics can act automatically to adjust parameters to make the response potentially safer. Anomaly detection is an integral part of these systems, and they can carry out the process much better than a human being.

Natural disasters can create havoc on industries and might even cause them to shut down for really long. Predictive analytics can make use of past data to predict trends in the occurrence of natural disasters. Although the accuracy of the predictions will not be very high, this works well for manufacturing industries that prefer being on the safe side.

Monitoring with the help of technology-enabled wearables can assist in the process of predictive analysis. Through smart wearables, management can track various aspects related to the workers and use this information to do predictive analysis. By studying the pattern in the data, companies can effectively reduce the chances of health risk and safety of individual workers.

All in all, predictive analytics plays a crucial role in making the manufacturing environment safer and conducive for workers.

Check Out: Top Manufacturing Intelligence Companies

Check Out : The Manufacturing Outlook

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