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Data Resiliency: Protecting Against Data Loss
Resiliency in IT refers to systems that can survive failures while still remaining functional for the end user. Data resiliency means that despite system failures, the data itself remains intact and unaffected. The Global Data Resiliency Market is expected to…
Data Management: Businesses Look to Data to Improve Efficiency and Reduce Costs
How are businesses targeting data to promote growth? A survey by CompTIA identified three categories of trends that they see across businesses: Analyze – Identify the sources of data and processes that use the data Organize – Businesses are creating…
Data Quality: Poor Quality Impacts AI and Analytics Projects
Data prep is essential to effectively using data-based tools like Data Analytics, Big Data, Machine Learning and AI, as discussed in yesterday’s post. A recent study by O’Reilly backs up the importance of data quality. The O’Reilly report finds few…
Data Dispersal: Where is Your Data?
In order to secure data, you first need to know where it is, and that has become increasingly challenging, according to a report by McAfee. Businesses are migrating their data from on-premise to cloud services. Data is sprawls across multiple…
Data Quality: Blockchain Smart Contracts
“Poor data quality is enemy number one to the widespread profitable use of machine learning,” is one of the conclusions of a Trifacta report. The report finds that only 26 percent of businesses have confidence in the accuracy of their…