Big Data

Big data refers to very large amounts of data being produced on the Web and by sensor, monitoring and machine systems along with the systems and technologies used to integrate and analytically explore it. Big data can be discussed from a technical view of frameworks and technologies, and from a business perspective of its uses and value to organizations. As it matures, big data is emerging into the context of information and data management already used in organizations.


BlogThe core of Capgemini’s data science approach is the ability to abstract models of real-life problems that are intuitive to use, yet sufficiently realistic to support robust decision-making.
FeatureWhat's being proposed is that we should hold people responsible for the results of the application of algorithms. This clearly means that the potential for undesirable repercussions will be higher in the future.
FeatureTo address a number of challenges, the group calls for the standardization of laboratory and clinical information to enable data compatibility as well as interoperability between systems.
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NewsCompanies and government agencies use Palantir to pull disparate data sources onto a software platform and mine the information for meaning.
FeatureTurning data into effective action requires a strong understanding of what that data has to say. And that requires master data management. Information Management recently hosted an executive roundtable in which participants discussed how best to deploy the data solution.
BlogI'm convinced that some companies not so secretly wish to be big data, even when they're not.
FeatureManaged by Georgia Tech, the VA proof-of-concept seeks to demonstrate the power of real-time analytics to deliver higher quality, more efficient and flexible care as part of the envisioned DHP architecture.
The growth of business intelligence is putting more demand on data that is ‘clean’ and trustworthy, and on the people that manage it. Here are five tips for implementing an effective data governance program.
Many organizations struggle with how to best use analytics to drive business decisions. The key is to understand the five stages of analytics maturity and how the organization matches to each.
FeatureThe network was formed in June 2014 to improve access and care coordination, and sharing data and best practices, particularly in rural areas of the state.
FeatureDeep learning has been setting the pace for the last several years within machine learning - largely as a result of the exponential increase in cheap computing power that arrived with GPU based systems.
NewsThe vendor’s data and digital products will help expedite AMA’s current analytics strategies and complement the insurer’s recent deployment of Guidewire InsuranceSuite, according to the companies.
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