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 prove the most pivotal in terms of...
View ArticleUpping 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. But in their zeal...
View ArticleCompelling 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 rates, technological applications, and business value...
View ArticleImpeccable Machine Learning Productivity: The Wonders of Data Provenance for...
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 learning models in...
View ArticleThe Enterprise Knowledge Graph Phenomenon: What It Means To Artificial...
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 Artificial...
View ArticleThe 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, particularly for cloud and...
View ArticleA 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 capable of...
View Article2019 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 the movement towards democratized data science, in...
View Article2019 Trends In The Internet Of Things: The Makings Of An Intelligent IoT
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 application of big data prognosticated a future whereby at the...
View Article2019 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 a requisite for...
View Article2019 Trends in Metadata Management: Intelligent Applications for Operational...
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 facilitating data provenance. Although...
View ArticleThe 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 immediate future. The appeal of their...
View ArticleHow 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 mundane, backend processes...
View ArticleModernizing 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 improving the efficacy...
View ArticleHow 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 trust, whereas questions...
View ArticleProceed 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, more transparent models for full compliance, or chance much more accurate,...
View ArticleIncorporating Machine Learning into a Successful Data Strategy
by Jelani Harper The foundation of any data-driven initiative should always be a well thought out, holistic data strategy. This particularly applies to the incorporation of artificial intelligence into...
View ArticleTailoring Analytics Dashboards For Business Using Machine Learning
by Jelani Harper SAN FRANCISCO – The manifold disciplines, skills, and competencies comprising data science may yield the most tangible return when applied to business users. Regardless of how varied...
View ArticleOvercoming data modeling challenges in finance and other verticals
by Jelani Harper SAN FRANCISCO – The rigors of data modeling are perhaps the most longstanding obstacle to the ongoing decentralization of the contemporary data landscape. As organizations compile...
View ArticleTackling Trust in Machine Learning and Neural Networks: See It to Believe It
by Jelani Harper SAN FRANCISCO – Issues of explainability, interpretability, and regulatory compliance all share one thing in common: they contribute to a marked distrust of advanced machine learning...
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