Tag: jelani harper

Incorporating Machine Learning into a Successful Data Strategy

by Jelani Harper The foundation of any data-driven initiative should always be a...

Proceed With Caution: Explainability, AI, And The Risks Of Regulatory Compliance

by Jelani Harper "The choice for organizations using AI models for customer decisions is clear: either use less accurate,...

How Blockchain And Legal Entity Identifiers Are Improving Workplace AI

by Jelani Harper In most cases, the correlation between blockchain and artificial intelligence is non-linear. The immutable, distributed ledger system of blockchain is based on...

Modernizing Natural Language Processing With Deep Neural Networks

by Jelani Harper Natural language processing is moving fast. Cutting edge developments in deep learning, neural networks, and aspects of classic machine learning are drastically...

How Smart Is Robotic Process Automation? Let AI Show You

by Jelani Harper Robotic Process Automation (RPA) is extremely emblematic of the state of artificial intelligence throughout the enterprise today. It expedites several of the...

The Next Revolution In eCommerce: Augmented Reality & AI

by Jelani Harper As the visual branch of artificial intelligence, Augmented Reality (AR) and Virtual Reality (VR) are critical aspects of IT processes for the...

2019 Trends in Metadata Management: Intelligent Applications for Operational Success

by Jelani Harper Historically, metadata management was regarded as a vital element of data management, a necessary component of data governance, and the means of...

2019 Trends in Data Modeling: Real-Time Integration for Cognitive Computing

by Jelani Harper The data modeling process is arguably the nucleus of deploying cognitive computing technologies and applications across the enterprise today, largely because it’s...

2019 Trends In The Internet Of Things: The Makings Of An...

by Jelani Harper 2019 will be a crucial year for the Internet of Things for two reasons. Firstly, many of the initial predictions for this...

2019 Trends in Data Science: Innovation and Acceleration

By Jelani Harper Two antipodal motions will impact data science in 2019, as intrinsically related to each other as they are oppositional. The first is...

A Win-Win Situation: Applications of Deep Learning in Healthcare

By Jelani Harper Successful deep learning deployments require copious amounts of annotated training data as inputs for their predictive models. Model outputs include dynamic algorithms...

The Right Way to Migrate Real-Time Data to the Cloud

By Jelani Harper One of the most significant ramifications of the increasing decentralization found throughout the contemporary data landscape is the need to move data,...

The Enterprise Knowledge Graph Phenomenon: What It Means To Artificial Intelligence

By Jelani Harper It’s becoming increasingly difficult to overlook the presence and overall worth of enterprise knowledge graphs in contemporary IT, particularly for applications of...

Impeccable Machine Learning Productivity: The Wonders of Data Provenance for Predictive...

By Jelani Harper Despite the gradual progress of self-service options, data science is still inordinately slowed by tedious data preparation processes. The creation of machine...

Compelling Use Cases for Creating an Intelligent Internet of Things

By Jelani Harper SANTA CRUZ - The industrial sector of the Internet of Things, the Industrial Internet, is far more advanced in terms of adoption...

Upping the Ante: Transmuting Machine Learning into Verifiable Knowledge

By Jelani Harper Machine learning is arguably at the forefront of contemporary artificial intelligence technologies; many widely (if not mistakenly) consider the two terms synonymous....

The Lesser Known Application of Machine Intelligence: Smart Availability

By Jelani Harper Of all the facets of enterprise IT impacted by the growing trend towards machine intelligence, those pertaining to network availability could well...

Streamlining Data Science and Analytics Workflows for Maximum ROI

By Jelani Harper Initially, the relationship between data science and analytics is causal. Accurate analytics is one of the outputs of data science; the more...

Idealizing Big Data Logistics for Machine Learning Models

By Jelani Harper Operationalizing machine learning for a specific business purpose has traditionally been an exacting process. Data scientists were tasked with procuring representative data...

Automating Intelligent Data Governance

By Jelani Harper Most data-driven organizations are aware that data governance is about defining—and implementing—the rules, roles, and responsibilities required for consistent, sustainable value derived...

Transcending the Limits of Analytics with Artificial Intelligence

By Jelani Harper According to Jack Norris, Senior Vice President of Data and Applications at MapR, the entire history of analytics has been plagued by a...

“What Are You Doing with My Data?”: Key Cloud Computing Precautions

By Jelani Harper Contrary to popular belief, cloud computing is not a panacea for contemporary data management. Cloud success hinges on how deployments are implemented....

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