Leveraging AI and machine learning to protect and validate relevant patient data
By Dell Technologies, contributing writers for Healthcareitnews.com
An ever-growing amount of healthcare and life sciences data is being generated from a widening variety of sources, such as medical practices, laboratories, pharmaceutical companies, payers, electronic health records and imaging systems, and the proliferation of IoT devices. Failing to properly control all that data is creating what Michael K. Giannopoulos calls “data sludge.”
AI and big data analytics in retail industry
By Yana Ihnatchyck, contributing writer for Datasciencecentral.com
Leveraging the latest technology has become more critical than ever in today’s fast-paced and competitive retail environment. Big Data Analytics and AI are at the forefront of this technological revolution, offering unprecedented opportunities for retailer agencies and agents to optimize their operations and enhance customer experience.
The power of predictive analytics in HR: Using data to improve hiring and retention
By Sarbojit Mallick, contributing writer for Yourstory.com
Predictive analytics in HR has not emerged just as a trend; it is the evolution of the industry. Traditionally, predictive analytics was preferred by organizations specifically for business management, finance, and risk, sales, etc. However, techniques like Data Mining, Artificial Intelligence, and Machine Learning have changed the game of talent management by improving the process of making predictions about the future workforce.
Big data analytics: The key to resolving complex business dilemmas
By Maneesh Singh, contributing writer for Readwrite.com
Big data analytics is the complex process of examining large and diverse datasets to uncover hidden patterns, correlations, market trends, and customer preferences. It is a crucial tool for organizations to make informed business decisions and tackle complex problems. In this article, we will explore the significance of big data analytics, its applications, benefits, challenges, and its history and growth.
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