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The Power of Cloud Computing

power of cloud computing

by Jelani Harper Of all the technologies to radically alter the landscape of Data Management today—Big Data, mobile, analytics, and others—Cloud Computing is arguably one of the most important, as it enables these technologies to apply to one another with an efficacy that would otherwise not be possible. While various Cloud Computing applications regularly receive…

Cognitive Computing: What’s Ahead in 2015

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by Jennifer Zaino 2014 saw the term Cognitive Computing increasingly make its way into industry conversations, helped along by the debut of events such as DATAVERSITY’s™ First Annual Cognitive Computing Conference. In 2015, be prepared for the volume to turn way, way up. The market for Cognitive Computing, after all, is marching steadily forward: Deloitte…

2015 Trends for the Internet Of Things

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by Jelani Harper The nearly unparalleled attention surrounding the Internet of Things (IoT) in 2014 was based on a combination of factors: The IoT builds on interest in Big Data: Considered retrospectively, one of the primary purposes of gathering massive amounts of multifaceted data types in real time is to facilitate the degree of interconnectivity…

(Big) Data Governance for Cloud Deployments

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by Jelani Harper Moving data to the Cloud and accessing its many applications for a number of functions that were once conducted on premise enables the enterprise to: Leverage limitless scalability and provision resources on demand Enable uniform access to data and pivotal enterprise processes regardless of location or time Reduce infrastructure and total cost…

Addressing the Inadequacies of Master Data Management

master data management

by Jelani Harper In theory, Master Data Management (MDM) systems provide a number of tangible benefits such as: A single version of the truth—By compiling all of the relevant data for specific business objectives into a single repository, organizations can effectively aggregate a multitude of data sources to reach the proverbial single version of the…

Meta-Business Data

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by Michael Brackett The term meta-data has been used, misused, and abused to the point that it is meaningless (The Meta-data Fiasco). It has been used to represent the meaning of data, such as data names, data definitions, data structure, and data integrity. It has been used to represent secondary business data that support primary…

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

business value of cognitive computing

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…