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.
All data-driven processes are intrinsically binary. No matter what the application or use case might be, depending on data involves risks as well as potential gains. Reducing the former tends …
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With all the media attention focused on contemporary Artificial Intelligence applications of computer vision, conversational AI, and knowledge graphs, it’s easy to lose sight of the basic data management mainstays …
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An inordinate amount of some of the most vital aspects of Artificial Intelligence—from data engineering to data science, data preparation to machine learning—rely on one indispensable prerequisite: data modeling. Without …
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The dynamic software agents of Robotic Process Automation represent many things to the modern enterprise. They’re simultaneously a digital workforce of tireless, ubiquitous employees, a cogent means of actuating statistical …
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The edge computing paradigm has long been considered at the forefront of the Internet of Things. The ability to process data at the fringe of enterprise networks in today’s distributed …
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The motion towards cloud computing is swiftly reaching a crescendo. It’s the most viable architecture for accommodating the scale of statistical Artificial Intelligence, one of the most effective mediums for …
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Knowledge graphs may not be as lauded as machine learning, as well known as Natural Language Processing, or as futuristic as their synthesis in conversational AI applications, but they’re an …
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The rapid retrieval of data—at scale—required for many cognitive computing use cases depends on several factors, only one of which is the vaunted computational power many attribute to the current …
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Several of the most advanced applications of Robotic Process Automation (RPA)—including employing bots to discover new automation processes or mimicking human employees with a digital workforce—hinge on deployments of computer …
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One of the most significant developments about the current resurgence of statistical Artificial Intelligence is the emphasis it places on knowledge graphs. These repositories have paralleled the contemporary pervasiveness of …
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