Cognitive Clouds: Gaining a Competitive Advantage

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Industry Optimized Clouds – Health Care

Industry optimized clouds for health care can help improve patient engagement and enable care managers and population health executives to more effectively treat people, manage population health, and lower health care costs.

A health care optimized cognitive cloud would come with multiple analytic services and models including diet, activity recommendations, sentiment analysis, and side-effect predictions. It would also include multi-structured data across public, private, social, and device sources such as the Center for Disease Control, FitBit, and WebMD. This data could provide care managers with personalized insights about their patients and patient populations from clinical, social, environmental, and socio-economic data to reduce avoidable hospitalizations.

Also, patients can take advantage of this technology by using an application to log their diet and activities and receive alerts when they need to take their medication. The app would be personalized to the patient's specific health care needs and use the most up-to-date information on the patient's conditions including recent test results, chronic illnesses, dietary issues, and allergies.

Cognitive computing made a big splash when IBM introduced Watson on "Jeopardy" a few years ago, and its impact on the world has only grown since then. The ability to address complex situations and data trends using ambiguous data is a hot agenda item with business and IT decision makers today, and as such the demand for cognitive clouds is on the rise. In this slideshow, CognitiveScale explains this new category in cloud computing.

Cognitive clouds address three of the biggest challenges facing businesses today: securely sourcing data from multiple sources, analyzing unstructured data, and getting actionable results from analytic initiatives. Cognitive clouds address these challenges by augmenting human intelligence and accelerating the value of Big Data by extracting insights from structured and unstructured data. This includes data from sources that are difficult to capture, process and analyze such as information from devices, social media and images.

Cognitive clouds generate insights and advice, weaving them into contextually relevant visual data stories that apply to industries and business processes. They are able to do all of these things while providing businesses with complete data transparency, lineage, management, and control over the data.

 

Related Topics : IBM Looks to Redefine Industry Standard Servers, APC, Brocade, Citrix Systems, Data Center

 
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