In this contributed article, Naomi Beckett, Senior Data Scientist at SparkBeyond, discusses the importantance of error analysis in predictive modeling and how to establish a method for determining when enough is enough.
Industry Perspectives
Hello, this is Your Personal AI Assistant: The Future of Conversational AI
In this special guest feature, Adnan Masood, PhD, Chief AI Architect, UST, believes the ultimate goal of conversational AI is to let people interact naturally with business services through these interfaces, facilitating human-machine interaction, and he’s hopeful that we are on a path to achieving this.
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DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain
The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.
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