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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…

Accelerating Internet of Things Analytics

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by Jelani Harper The explosion of data projected to emerge in the wake of the burgeoning Internet of Things (IoT)—and which is a daily occurrence in the Industrial Internet—requires specific needs for analytics that are unique to this facet of Data Management. In order to effectively glean insight into the continuous streams of real-time event…

Maximizing Cloud Utility

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by Jelani Harper Cloud Computing is arguably the hub of the technologies that are at the forefront of the contemporary Data Management landscape. It enables the best of them—Big Data, analytics, mobile access—to work together as a synthesis that is greater than the sum of the individual parts. Whether it’s being used as a means…

Simplifying Predictive Analytics

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by Jelani Harper Predictive analytics represents the culmination of technology initially pioneered in Business Intelligence tools, especially when one considers their prescriptive capabilities that not only determine the likelihood of future events, but also prescribe the most viable courses of action to deal with them. When combined with sets of Big Data—which are constantly updating…

Pattern Recognition: The Paragon of Big Data Analytics

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by Jelani Harper  Many vendors and end users of data driven products, services and processes, believe predictive analytics represents the epitome of predictive capabilities. When augmented with Machine Learning algorithms that establish data-derived precedents and incorporate them into future processes, predictive analytics can enhance analytics operations for any number of vertical industries including retail, health…

Data Resource Anomalies

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by Michael Brackett An anomaly is a deviation from the common rule; an irregularity; something different, abnormal, peculiar, or not easily classified.  A data resource anomaly is a deviation of an organization’s data resource from the common rule of being based on the organization’s perception of the business world and how it chooses to operate…

Taming Data Integration

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by Jelani Harper Successfully integrating disparate data sources and forms of data in a way that provides a unified view of information relevant to a particular application requires several different technologies including: Semantics: By reducing data to its simplest form with semantic technology, data can be culled, aggregated and compared with one another to determine…

Data Quality as a Service: Success at Scale

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by Jennifer Zaino Many IT leaders aim at providing Data Quality as a Service (DQaaS) to business users, but few succeed at realizing that goal at scale. It is possible, though, if IT execs standardize their approach to the challenge. Carl Gerber, Head of Enterprise Data Transformation at Teachers Insurance and Annuities Association of America…