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.
There are two principal ways graph settings underpin various aspects of statistical Artificial Intelligence, which is typified by advanced machine learning deployments. Firstly, they’re perfect for discerning which data are …
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The composability precept is fascinating—and galvanizing organizations—for several reasons. It’s the key to nimbly adapting to the sometimes seismic shifts in business climates that unexpectedly arise. It’s also one of …
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There is a growing cry from organizations, consumers, and regulators for responsible Artificial Intelligence—and with good reason. Gartner has termed responsible AI the foremost trend for driving near-term AI innovation. …
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Despite several advances in data science designed to expedite this discipline and make it more self-service oriented, data scientists are not the most popular employees at many organizations. “We were …
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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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