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10 Tools to Level up Streaming Analytics Platforms
Nick Kramer was featured in this TechTarget article about the importance of evaluating business needs when selecting stream processing tools.
Learn MoreRegression in machine learning can help organizations forecast and make better decisions. Nick Kramer was featured in this TechTarget article talking about the significance and application of regression in business.
Nick explains the importance of regression in machine learning, “Regression is an essential concept not only for machine learning experts, but also for all business leaders, as it is a foundational technique in predictive analytics. Regression is commonly used for many types of forecasting; by revealing the nature of the relationship between variables, regression techniques give businesses insight into key issues, such as customer churn, price elasticity and more”
He continues, outlining the applications for regressions in business, “Regression models will obediently produce an answer, but can hide inaccuracies or oversimplification, and a wrong prediction is often worse than no prediction. It’s important to understand that one approach might work better than others, depending on the problem.”
Nick Kramer was featured in this TechTarget article about the importance of evaluating business needs when selecting stream processing tools.
Learn MoreNick Kramer is featured in this Techtarget article discussing ethical issues associated with generative AI as grows in popularity and presents disruption to business models.
Learn MoreNick Kramer was quoted in this article in CIO Online looking at the barriers that prevent companies from becoming data driven.
Learn MoreJohn Blankenbaker was featured in this TechTarget article outlining the capabilities for different neural networks and their potential applications in business.
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