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Data management can be a daunting task. It requires significant time and resources to collect, process, and analyze large volumes of information. To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline…

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in.  Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how…

You collected all sorts of data for your business, but now it’s trapped! It is lying in your Facebook account, POS system, PDFs, website, and other databases. So, how do you feed this data into your analytics software and that…

The US healthcare industry is grappling with several issues, from surging costs and inefficient management to declining levels of care. The United States spends twice as much per capita on healthcare, yet lags behind other developed nations in patient outcomes….

The insurance industry is a data-intensive sector. Insurers collect and analyze vast amounts of data to assess risk, underwrite policies, and manage claims. However, manually processing this data can be time-consuming, error-prone, and costly. That’s why many insurers are turning…