Data Articles | Data Science, Business Intelligence, & More

The Numerous Applications of Watson Analytics

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by Jelani Harper IBM’s Insight 2014 conference, held in Las Vegas from October 27-30, was largely dominated by the fleeting nature of Big Data and Watson analytics (which was partially implied by the conference theme of “Seize the Moment”). The rapid velocity at which such data is generated and requires analytics in real time or…

Machine Learning Will Make Its Mark On The Sciences

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by Jennifer Zaino In a data-deluged world, novel science depends on putting Machine Learning into practice. That’s a lesson being taught by Joshua Bloom, and one that he also practices in his work as professor of astronomy at UC Berkeley. “We absolutely have to see as our imperative putting machine learning or machine intelligence or…

The Ease of Business Analytics

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by Jelani Harper For the past several years, there has been a substantial amount of rhetoric in the field of Data Management pertaining to empowering the business user through better business analytics. Numerous vendors, research companies and even trade publications have cited an emerging trend to put the business in control of its data, granting…

The Business Value of Cognitive Computing

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by Jelani Harper IBM Watson occupied center stage at IBM’s recent Insight 2014 conference. As a number of speakers from diverse industries and organizations revealed at a session entitled “Putting Cognitive Computing to Work: What Will You Do with Watson?” Cognitive Computing has been primed to deliver the enterprise business value. Cognitive Computing is the…

Degrees of Data Structuring – Again

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by Michael Brackett Data management is faced with a large and growing lexical challenge.  Many terms are created that do not have roots, prefixes, or suffixes applicable to data management.  Many terms are used, misused, abused, and abandoned when their usefulness is over.  Many terms are undefined or multi-defined and have no denotative definitions that…

Data Lakes: Complicating Big Data Governance

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by Jelani Harper The Data Lake concept is intriguing, particularly in the wake of the ascendancy of Big Data initiatives and the value they add to one’s data assets through the integration of proprietary historic and/or transactional data. The benefits derived from utilizing a highly scalable, distributed data store as a single repository (aka a…

Risk Analysis: Is It Based On The Big Data Picture?

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by Jennifer Zaino Businesses understand people by certain data points, which will formally, or in some cases informally, factor into determining whether they are a worthy credit risk, a safe driver, an appropriate job prospect, and so on. But companies – and therefore their risk analysis of any one individual – may be missing the…

Cognitive Cloud Platforms: Cognitive Computing Apps for All

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by Jennifer Zaino You’ve heard of Cognitive Computing. And you’ve heard of the Cloud. Now, it’s time to get familiar with Cognitive Cloud platforms. What is a Cognitive Cloud platform? Think of it as extending the ecosystem that will make it possible to create and bring Cognitive Computing applications to the masses. Startup Cognitive Scale…

Capitalizing on Elastic Computing

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by Jelani Harper Aside from its potential to integrate and aggregate a host of resources and technologies, Cloud Computing can most prominently benefit the enterprise through the enabling of Elastic Computing. Elastic Computing is the utilization of the Cloud’s nearly limitless scalability to provision resources on demand and at scale without conventional architectural concerns associated…

Exploratory Analysis: Parsing Event Data

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by Jelani Harper Of all the traits of Big Data that account for this term’s relevance in today’s Data Management landscape, its temporal aspect may prove the most valuable for the enterprise. The utility in analyzing massive data of a variety of types is only increased when one is able to do so in real…