Contributor
Jelani Harper is an editorial consultant servicing the information technology market. He specializes in data-driven applications focused on semantic technologies, data governance, and analytics.
Amidst the current cries of the ‘newfound’ efficacy of composite Artificial Intelligence (which the analyst community has embraced), and the impending ascendance of neuro-symbolic AI, lies one simple, extremely notable …
Read MoreOf all the use cases for the myriad dimensions of Artificial Intelligence—including technologies both central and contiguous to AI—that for implementing intelligent contact centers is one of the most convincing. …
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The cloud has been touted as the panacea for all things data related. Whether posited as the ideal locus for Artificial Intelligence deployments, or renowned for streamlining the fundamentals of …
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Certain use cases are ideal for the exorbitant data amounts frequently required to capitalize on machine learning investments. Others are rendered increasingly difficult—if not impossible—by the lack of exampled data …
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There’s no disputing the impact of the growing usage of Artificial Intelligence throughout the enterprise. Organizations are becoming more analytically inclined, automation is rampant, and business users are empowered to …
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The symbiosis between machine learning and Master Data Management may not be readily apparent. After all, the former delivers targeted analytics for cognitive computing, whereas the latter consolidates aspects of …
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As a concept, intelligence has myriad connotations, denotations, and contexts. When applied to the notion of Artificial Intelligence, however, the most prominent of these considerations is the capability for machines …
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The coupling of Artificial Intelligence with the Internet of Things represents a natural progression for applications in both these spaces. Machine learning and AI deliver a number of benefits for …
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Long gone are the days when organizations were dependent on IT teams for Business Intelligence reporting. Back then, IT teams typically had to adjust data models to facilitate specific questions …
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In the hierarchy of data governance personnel, data stewards have traditionally had the least amount of influence in devising the policies that dictate how organizations govern their data. The Chief …
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