Articles by Jelani Harper
Top considerations for ECM and content services
Content services' contemporary reliance on advanced analytics and cloud connectivity means more than an improved ability to meet its goals—which are increasingly taking the form of process automation.
Mastering blockchain for traceability and trust
The unalterable nature of blockchain data means the consistency and correctness createan unassailable trust for numerous enterprise use cases.
Accelerating digital transformation with a services approach modern cloud
Cloud computing replaces upfront capital expenses with lower operational ones, which is instrumental in hastening digital transformation.
Understanding What Matters With Text Analytics and NLP
There's no limit to the business value that can be derived from parsing, appropriately contextualizing, classifying, and extracting text with NLP.
Information governance 101: The regulatory compliance survival kit
Mapping data's flow throughout the enterprise is pivotal for securing information assets since it allows organizations to consider what they're trying to protect and what that requires.
From back-end developers to mission-critical workplace automation: The low-code advantage
The advantages of workplace automation are predicated on improving enterprise efficiency, which typically takes two forms: perfecting the automated steps in workflows and uncovering new processes to automate.
The secret of the cloud: Remote collaboration, elasticity, and the e-discovery paradigm
E-discovery is a microcosm of data management's macrocosm. Winning in the cloud with the former illustrates how to do so with the latter.
The centerpiece of data governance: Making information quality pay off
Poor information quality wastes monetary resources, squanders data's underlying value to the enterprise, and significantly increases risk in the form of regulatory compliance or litigation.
Next-generation natural language technologies: The deep learning agenda
The capacity for machines to understand human language, courtesy of natural language technologies fortified by deep learning, results in limitless enterprise value across use cases and industries. Whether those involve the creation of content, querying it, or acting on it, this combination is the means of making IT infinitely more accessible—and useful—than it's ever been.
THE SMART MONEY: Decoupling financial services for cross-departmental big data integration
Monetizing data while complying with regulations in finance is increasingly dependent on the ability to decouple the enterprise—across departments, business lines, and individual services.
Turning big data into big content: business process management is resurging with robotics process automation
Big data—once deemed essential to capitalizing on data-driven processes—is now viewed only as useful as the meaningful content produced from it.
Monetizing digital asset management: The power of metadata management
The ability to repurpose content across organizations for multiple use cases is essential to boosting the ROI of digital assets and their products or services.
Analytics in the IoT public sector: Perfecting with computer vision
Since governmental entities aren't burdened by the financial constraints of private organizations, they have considerably greater liberty to devise new use cases for increasing the efficacy and efficiency of advanced analytics.
Understanding the wave before it hits: Converging digital and physical CX with edge computing
The blending of the digital and physical experiences is as inexorable as this phenomenon is horizontal. Edge computing is the gateway for this confluence in which each respective experience enhances the other for increased customer satisfaction and data-driven profits.
Business intelligence tomorrow… and what it means for today
By unifying all aspects of data management for expedient, trustworthy access to data in a single platform, BI empowers much more than analytics.
Seeking an edge: Exploiting alternative big data sources and customer data for financial gain
Truly knowing one's customer—and managing alternative big data sources across business units for this purpose—catalyzes significant revenue generation across a range of industries, not just financial services.
How regulatory pressure is reshaping big data as we know it
New regulations and penalties are designed to protect and support the consumer, the data citizens whose lives and information are used to dictate, and in turn are dictated by, the regularization of big data.
Money-making opportunities in manufacturing: Translating big data into ongoing revenue streams
Manufacturing's metamorphosis is related to the constant generation of commerce-related big data in general. And, it may very well serve as a harbinger of the evolution of business itself in days to come.
Best practices for proactive enterprise risk management: “Let the (big) data tell you”
Proactive risk assessment is applicable to any form of risk organizations might encounter, from fraudulent transactions to network availability. Although law enforcement risk threatens lives whereas enterprise risk threatens funds, the same shrewd combination of big data management and machine learning techniques can empower organizations to proactively detect, investigate and minimize risk while maximizing big data's ROI.
Winning with the IoT: the vitality of edge computing to the enterprise
The IoT will encompass three fundamental realms of society. They include aspects of personal life, public life and professional life. In most cases, each device will continuously transmit or receive data via direct internet connectivity.
Pushing ARTIFICIAL INTELLIGENCE ahead: the practical business value of cognitive visualizations
Although use cases for cognitive visualizations abound horizontally in industries such as finance, healthcare, life sciences and law enforcement, they're gaining the most credence in the industrial and manufacturing sectors.
The critical confluence of information governance and security breaches
"Data governance is looking at data from a protection, compliance perspective."
The next wave of big data technology: distributed automation
"The hope is that deep learning and making use of the data coming from IoT will somehow engender new applications that we haven't thought of today that will be the killer app for IoT."
Lessons learned from big interoperability in government
Many times, government entities have difficulty simply accounting for the basics of data management. Tasks such as locating relevant data via search, adjusting to new regulatory requirements or implementing sustainable data governance can exacerbate overhead costs.
Shaping healthcare’s future with genomic data
The growing relevance of genetic data in the modern healthcare landscape is attributed to multiple factors, the most prominent of which is likely cost.
The smart thing to do: practical applications of monetizing big data in finance
In financial services, the dangers associated with monetizing big data are nearly as great as the rewards. The promises of machine learning, data science and Hadoop are tempered by the realities of regulatory penalties, operational efficiency and profit margins that must quickly justify any such expenditure.
Real-time digital behavior tracking—The political impact of social media
A review of the past three presidential elections indicates the power of social media in contemporary American politics. Abundant social media channels function as among the most consistently revealing sources of big data analytics and are the vehicle through which the political—and democratic—process manifests in the country today.
The future is now: cognitive computing throughout the enterprise today
Regardless of what else cognitive computing may achieve, it is already considerably impacting the business user's data-driven practices.
The unmistakable conviction of visual business intelligence
The transformative effect of data visualizations on the analytics landscape is beyond dispute, but the outcome is more controversial.
Disrupting the data landscape again with linked open data
"Big data shattered the paradigm where organizations would only use methods designed for a single relational database. They suddenly needed unstructured data analysis for big data, along with relational methods to find the proverbial needle in the haystack and a linked data approach to connect things and see how they relate."
Data and government transparency in the Trump era - Can data-driven technologies help?
Historically, the federal government has been regulated by a series of carefully constructed checks and balances exemplified by the executive, judicial and legislative branches. That triad was designed to circumscribe individual authority, implement a degree of transparency and order and preserve the democratic process upon which the country is based.
The new face of big data: AI, IoT and blockchain
Today, organizations enhance big data's value while maximizing its monetization with the emergence of a new affiliation of technologies.
How does precision medicine become a reality? The Semantic Data Lake for Healthcare makes it possible
The ontology empowers users to ask questions, answer them and prepare models on the fly for extremely nuanced subsets of patient classifications.