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January 27, 2023
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Jelani Harper

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.

Big Data / Tech

The Door to Tomorrow: Predictive and Prescriptive Data Security Governance

Updated September 15, 2022 - by Jelani Harper

Data security and access governance has become one of the cardinal points of commonality for all organizations. The need to ascertain where one’s sensitive data is, administer the proper controls …

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Data Science

The One-Shot Learning Phenomenon

Updated July 27, 2022 - by Jelani Harper

Machine learning detractors frequently cite three limitations of this statistical expression of Artificial Intelligence. These alleged drawbacks include: Comprehension: For natural language technology applications and others, naysayers claim machine learning …

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Data Science

Two of a Kind: Real-Time Analytics and Machine Learning

Updated July 13, 2022 - by Jelani Harper

The assessment of data systems as they actually are, as opposed to what they were previously or are predicted to be, is arguably the paragon of contemporary analytics. Coupling this …

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Conversational AI

The Extensibility of Knowledge Graphs for Natural Language Understanding

Updated July 7, 2022 - by Jelani Harper

The universal applicability of enterprise knowledge—across use cases, domains, and languages—is widely understood. It’s foundational to the history of Artificial Intelligence. And, it’s likely the main reason adoption rates for …

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Conversational AI

The Taxonomic Underpinnings of Cognitive Computing

June 22, 2022 - by Jelani Harper

Although it’s making a resurgence of sorts with the concepts of neuro-symbolic AI and what Gartner has termed composite AI, machine reasoning has traditionally been overlooked in recent years. Rules, …

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Conversational AI

The Crux of Artificial Intelligence’s Enterprise Utility: Timely Analytics

Updated June 22, 2022 - by Jelani Harper

The assortment of use cases Artificial Intelligence supports for enterprise users is constantly burgeoning. Applications of neural networks, symbolic reasoning, and prescriptive analytics are appearing in everything from internal systems …

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Data Science

The Data Science of Hyper-Parameter Tuning

Updated June 15, 2022 - by Jelani Harper

The inner operations of advanced machine learning models are nebulous to the average business user, regulator, or customer impacted by the outputs of this form of statistical Artificial Intelligence. At …

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Data Science

Conquering Credit Risk with Graph Neural Networks

Updated April 28, 2022 - by Jelani Harper

Historically, the financial services vertical has been one of the earliest adopters of sophisticate analytics techniques involving graph computing. Applications of graph Artificial Intelligence are regularly used in this industry …

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Data Science

Shortening the Data Science Cycle: Training Machine Learning Models in Production

Updated March 31, 2022 - by Jelani Harper

For all of machine learning’s massive pattern recognition capabilities and the vaunted accuracy of its predictions, this cognitive computing technology has been consistently impeded by one immutable factor: waiting. Traditionally, …

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Data Science

Why Artificial Intelligence Needs Quantum Computing

Updated January 26, 2022 - by Jelani Harper

The current attention trade shows, media outlets, and (more and more) vendors are devoting to quantum computing is far from transitory. This form of computing is almost certain to play …

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