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Yearly Archives: 2020

Data Science: The Importance of Data Engineers

By Dick Weisinger

With the rise in the importance of data in businesses, for use in analytics, AI and Big Data processing, the role of the data engineer has only recently appeared, but it has already become an important role for many businesses.…

Autonomous Analytics: Turning Data into Decisions

By Dick Weisinger

Data is touted as the “new oil”, but without a strategy for effectively using it, it’s value is limited. James Hodge, chief technical advisor at Splunk, said that “the fact that businesses are producing vast amounts of data is indisputable,…

Data Science: Four Trends in 2020

By Dick Weisinger

Data Science is a combination of techniques, methods and algorithms for data collection, processing, analyzing, and predicting. It is directly related to artificial intelligence, data mining, and big data. Four trends we are seeing this year in Data Science include:…

DPA and RPA: A Strategy for Future-Proof Digital Transformation

By Dick Weisinger

Robotic Process Automation (RPA) focuses on automation of repetitive tasks that generally don’t require high skills. Digital Process Automation (DPA), another term for Business Process Automation, automates more complex business processes. DPA improves customer interactions, internal collaboration, and interactions with…

RPA and Low Code: Providing the Flexibility to Tweak Process Changes

By Dick Weisinger

Robotic Process Automation (RPA) is one of the fastest areas of enterprise software growth. Gartner estimates that RPA is growing at an annual rate of 63 percent. It’s a technology that lets businesses automate tasks and exchange data with legacy…