Jelani Harper

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.

Conquering Credit Risk with Graph Neural Networks

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 for fraud detection, Anti-Money Laundering, and other mission critical use cases. Today, however, there’s a growing movement within finance to utilize many of these same […]

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

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, it has taken a substantial amount of time to build models. Data scientists have lengthy data engineering processes that precede model training, then undertake a

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Why Artificial Intelligence Needs Quantum Computing

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 an integral part in the most meaningful future developments of Artificial Intelligence—if not in those for today. The bifurcation of quantum computing’s applicability to AI

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The Makings of Graph AI: A Brief Retrospective

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 apropos for engineering these cognitive computing models. Secondly, they’re ideal for a number of machine learning techniques (such as Graph Neural Networks and clustering) that

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The Top Artificial Intelligence Prediction for 2022: Composable AI

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 Gartner’s top 10 strategic predictions for 2022 and beyond. But according to Indico Data CEO Tom Wilde, it’s something altogether else that could very well

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The First Step Towards Responsible AI: Regulatory Compliance and Data Privacy

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. This concept encompasses several of the most eminent facets of business and societal use of AI, including explainability, ethics, fairness, accountability, and transparency. Most importantly,

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The Return of Symbolic Reasoning…and Why It Never Left

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 fact with ramifications for organizations in nearly every industry. Symbolic reasoning is not only no longer being overlooked, but is now actively sought to do

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Improving Contact Center Interactions with Artificial Intelligence

Of 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. And, according to Automation Anywhere CTO Prince Kohli, it’s also one that’s dire to the modern enterprise. “One of the reasons it’s extremely important for

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What They Don’t Tell You about Cloud Computing…But Should

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 data management, cloud computing is considered the solution for nearly every aspect of the data landscape. “Silicon Valley’s IT business is really good at telling

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