Tag: Jelani Harper

Making AI Work with Edge Computing: The Necessity of Storage

When equipped with the proper storage capacity, the computational speeds for AI function best to empower a number of vanguard edge computing use cases.

The Crux of Supervised Learning: Annotated Training Data

Annotated training data is the basis for teaching supervised learning models to accomplish the specific tasks for which they’re deployed.

Making Machine Learning Smarter: The Endurance of Human-Based Rules

Machine learning’s dynamic algorithms won’t replace static rules-based ones, much like machine intelligence won’t outright supplant human intelligence.

Fulfilling AI’s Promise of Micro-Segmentation

by Jelani Harper LONDON - Other than automating backend data management processes, the most...

The Question of Intellectual Property and Artificial Intelligence: Who Owns the...

When outsourcing the creation and deployment of AI models, who owns the intellectual property—the company paying for them or the vendors supporting them?

A Retrospective Of GDPR ’s First Year: What It Means for...

Deployments of artificial intelligence and data-centric practices around the world were forever changed with the EU’s enforcement of GDPR. Or were they?

Operationalizing Regulatory Compliance With Deep Learning

The passage of the General Data Protection Regulation was, in some ways, the most significant development for AI in Europe over the past year. It triaged regulatory compliance as the foremost concern for utilizing data-driven processes.

Revising The World of Self-Service With Natural Language Processing

The ascension of natural language processing is evident. Still, NLP is arguably producing the greatest impact on the enterprise through self-service.

The Truth about Machine Learning: What It Is And Isn’t, What...

by Jelani Harper SAN FRANCISCO - Machine learning is regarded in a variety of...

Best Practices For Holding Artificial Intelligence Accountable

by Jelani Harper SAN FRANCISCO - The myriad dimensions of artificial intelligence are almost...

Tackling Trust in Machine Learning and Neural Networks: See It to...

by Jelani Harper SAN FRANCISCO - Issues of explainability, interpretability, and regulatory compliance all share...

Overcoming data modeling challenges in finance and other verticals

by Jelani Harper SAN FRANCISCO - The rigors of data modeling are perhaps...

Tailoring Analytics Dashboards For Business Using Machine Learning

by Jelani Harper SAN FRANCISCO - The manifold disciplines, skills, and competencies comprising data...

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...

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