ºÝºÝߣshows by User: ThomasKellyPMP / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ThomasKellyPMP / Thu, 20 Aug 2015 16:51:06 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ThomasKellyPMP Semantic Analytics /slideshow/semantic-analytics-51868190/51868190 semanticanalytics-keenkelly-150820165106-lva1-app6891
Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data. This presentation will describe knowledge-based reasoning techniques to expand and accelerate insight delivery. ]]>
Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data. This presentation will describe knowledge-based reasoning techniques to expand and accelerate insight delivery. ]]> Thu, 20 Aug 2015 16:51:06 GMT /slideshow/semantic-analytics-51868190/51868190 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Semantic Analytics ThomasKellyPMP Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data. This presentation will describe knowledge-based reasoning techniques to expand and accelerate insight delivery. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semanticanalytics-keenkelly-150820165106-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Analytics are connecting companies with their customers – with better understanding of their interests and the products/services that they need. To date, semantic technology has been addressing data management challenges associated with analytics that must be resolved before analytics begin. Now, semantic and cognitive techniques are augmenting conventional data-driven analytics to provide more accurate results as well as new insights from the data. This presentation will describe knowledge-based reasoning techniques to expand and accelerate insight delivery.
Semantic Analytics from Thomas Kelly, PMP
]]> 1420 8 https://cdn.slidesharecdn.com/ss_thumbnails/semanticanalytics-keenkelly-150820165106-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Semantic 'Radar' Steers Users to Insights in the Data Lake /slideshow/semantic-radarsteersuserstoinsightsinthedatalakecodex895/40281393 semantic-radar-steers-users-to-insights-in-the-data-lake-codex895-141014230241-conversion-gate01
By infusing information with intelligence, users can discover meaning in the digital data that envelops people, organizations, processes, products and things.]]>
By infusing information with intelligence, users can discover meaning in the digital data that envelops people, organizations, processes, products and things.]]> Tue, 14 Oct 2014 23:02:41 GMT /slideshow/semantic-radarsteersuserstoinsightsinthedatalakecodex895/40281393 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Semantic 'Radar' Steers Users to Insights in the Data Lake ThomasKellyPMP By infusing information with intelligence, users can discover meaning in the digital data that envelops people, organizations, processes, products and things. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantic-radar-steers-users-to-insights-in-the-data-lake-codex895-141014230241-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> By infusing information with intelligence, users can discover meaning in the digital data that envelops people, organizations, processes, products and things.
Semantic 'Radar' Steers Users to Insights in the Data Lake from Thomas Kelly, PMP
]]> 581 3 https://cdn.slidesharecdn.com/ss_thumbnails/semantic-radar-steers-users-to-insights-in-the-data-lake-codex895-141014230241-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Enterprise Semantic Technology /slideshow/enterprise-semantic-technology/38769515 ebbt33c0sk2styqrgh66-signature-46e8dcb05da53d237f3ce76ff8d1ddffa6a36a2e4521d4d66f7a36cb07170adb-poli-140906041519-phpapp02
Enterprise Semantic Technology Industrializing Your Semantic Technology Platform Semantic technology is transforming how businesses are planning and building new information management capabilities. Organizations are using semantic technology to successfully deliver projects that combine public and private data with expert knowledge to deliver a new generation of applications with "smart" features. Enterprises that are seeking to repeat these successes on a larger scale are industrializing their semantic technology platform and practices.]]>
Enterprise Semantic Technology Industrializing Your Semantic Technology Platform Semantic technology is transforming how businesses are planning and building new information management capabilities. Organizations are using semantic technology to successfully deliver projects that combine public and private data with expert knowledge to deliver a new generation of applications with "smart" features. Enterprises that are seeking to repeat these successes on a larger scale are industrializing their semantic technology platform and practices.]]> Sat, 06 Sep 2014 04:15:18 GMT /slideshow/enterprise-semantic-technology/38769515 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Enterprise Semantic Technology ThomasKellyPMP Enterprise Semantic Technology Industrializing Your Semantic Technology Platform Semantic technology is transforming how businesses are planning and building new information management capabilities. Organizations are using semantic technology to successfully deliver projects that combine public and private data with expert knowledge to deliver a new generation of applications with "smart" features. Enterprises that are seeking to repeat these successes on a larger scale are industrializing their semantic technology platform and practices. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ebbt33c0sk2styqrgh66-signature-46e8dcb05da53d237f3ce76ff8d1ddffa6a36a2e4521d4d66f7a36cb07170adb-poli-140906041519-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Enterprise Semantic Technology Industrializing Your Semantic Technology Platform Semantic technology is transforming how businesses are planning and building new information management capabilities. Organizations are using semantic technology to successfully deliver projects that combine public and private data with expert knowledge to deliver a new generation of applications with &quot;smart&quot; features. Enterprises that are seeking to repeat these successes on a larger scale are industrializing their semantic technology platform and practices.
Enterprise Semantic Technology from Thomas Kelly, PMP
]]> 2523 3 https://cdn.slidesharecdn.com/ss_thumbnails/ebbt33c0sk2styqrgh66-signature-46e8dcb05da53d237f3ce76ff8d1ddffa6a36a2e4521d4d66f7a36cb07170adb-poli-140906041519-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mobile semantic technology /ThomasKellyPMP/mobile-semantic-technology yuqmgx2it7odjecszmoe-signature-351b9168a22f6cb4088216ea683fb42b6f8833f0189ad4a77889a460ea4473af-poli-140901023417-phpapp02
Mobile devices accounted for 55% of Internet usage by applications in the United States in January 2014. The mobile platform engages distributed data, often cloud-based, to interact with users. This presentation discusses use cases of how organizations are combining semantic technology and mobility to extend the reach of their applications to their mobile-enabled workforce and customers. ]]>
Mobile devices accounted for 55% of Internet usage by applications in the United States in January 2014. The mobile platform engages distributed data, often cloud-based, to interact with users. This presentation discusses use cases of how organizations are combining semantic technology and mobility to extend the reach of their applications to their mobile-enabled workforce and customers. ]]> Mon, 01 Sep 2014 02:34:16 GMT /ThomasKellyPMP/mobile-semantic-technology ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Mobile semantic technology ThomasKellyPMP Mobile devices accounted for 55% of Internet usage by applications in the United States in January 2014. The mobile platform engages distributed data, often cloud-based, to interact with users. This presentation discusses use cases of how organizations are combining semantic technology and mobility to extend the reach of their applications to their mobile-enabled workforce and customers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/yuqmgx2it7odjecszmoe-signature-351b9168a22f6cb4088216ea683fb42b6f8833f0189ad4a77889a460ea4473af-poli-140901023417-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Mobile devices accounted for 55% of Internet usage by applications in the United States in January 2014. The mobile platform engages distributed data, often cloud-based, to interact with users. This presentation discusses use cases of how organizations are combining semantic technology and mobility to extend the reach of their applications to their mobile-enabled workforce and customers.
Mobile semantic technology from Thomas Kelly, PMP
]]> 895 6 https://cdn.slidesharecdn.com/ss_thumbnails/yuqmgx2it7odjecszmoe-signature-351b9168a22f6cb4088216ea683fb42b6f8833f0189ad4a77889a460ea4473af-poli-140901023417-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Emerging Data Lake IT Strategy /slideshow/the-emerging-data-lake-it-strategy/34095272 the-20emerging-20data-20lake-20it-20strategy-140429143633-phpapp02
Meaning making – separating signal from noise. How do we transform the customer's next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, "smart" analytics, and faster time to business value.]]>
Meaning making – separating signal from noise. How do we transform the customer's next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, "smart" analytics, and faster time to business value.]]> Tue, 29 Apr 2014 14:36:33 GMT /slideshow/the-emerging-data-lake-it-strategy/34095272 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) The Emerging Data Lake IT Strategy ThomasKellyPMP Meaning making – separating signal from noise. How do we transform the customer's next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, "smart" analytics, and faster time to business value. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/the-20emerging-20data-20lake-20it-20strategy-140429143633-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Meaning making – separating signal from noise. How do we transform the customer&#39;s next input into an action that creates a positive customer experience? We make the data more intelligent, so that it is able to guide our actions. The Data Lake builds on Big Data strengths by automating many of the manual development tasks, providing several self-service features to end-users, and an intelligent management layer to organize it all. This results in lower cost to create solutions, &quot;smart&quot; analytics, and faster time to business value.
The Emerging Data Lake IT Strategy from Thomas Kelly, PMP
]]> 12661 13 https://cdn.slidesharecdn.com/ss_thumbnails/the-20emerging-20data-20lake-20it-20strategy-140429143633-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Rapid data integration and curation /slideshow/rapid-data-integration-and-curation/29120473 rapid-20data-20integration-20and-20curation-131211144612-phpapp02
Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days. Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business partners are waiting for answers, and the organization must reduce the time required to collect, understand, and analyze the data needed to provide those answers. Modern enterprises need to increase the agility, flexibility, and speed with which they can analyze a growing volume, variety, and velocity of data. This presentation discusses a method for rapid data integration and curation: - Techniques for light data integration of new data with existing data assets - Framework for data quality management - Refining data integration through evolutionary modeling - Managing curation processes - Validating business value Timely delivery of new data assets allows users to begin asking questions earlier and getting answers more quickly, allowing the organization to uncover the new insights that drive lasting business benefits. ]]>
Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days. Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business partners are waiting for answers, and the organization must reduce the time required to collect, understand, and analyze the data needed to provide those answers. Modern enterprises need to increase the agility, flexibility, and speed with which they can analyze a growing volume, variety, and velocity of data. This presentation discusses a method for rapid data integration and curation: - Techniques for light data integration of new data with existing data assets - Framework for data quality management - Refining data integration through evolutionary modeling - Managing curation processes - Validating business value Timely delivery of new data assets allows users to begin asking questions earlier and getting answers more quickly, allowing the organization to uncover the new insights that drive lasting business benefits. ]]> Wed, 11 Dec 2013 14:46:12 GMT /slideshow/rapid-data-integration-and-curation/29120473 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Rapid data integration and curation ThomasKellyPMP Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days. Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business partners are waiting for answers, and the organization must reduce the time required to collect, understand, and analyze the data needed to provide those answers. Modern enterprises need to increase the agility, flexibility, and speed with which they can analyze a growing volume, variety, and velocity of data. This presentation discusses a method for rapid data integration and curation: - Techniques for light data integration of new data with existing data assets - Framework for data quality management - Refining data integration through evolutionary modeling - Managing curation processes - Validating business value Timely delivery of new data assets allows users to begin asking questions earlier and getting answers more quickly, allowing the organization to uncover the new insights that drive lasting business benefits. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rapid-20data-20integration-20and-20curation-131211144612-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Organizations must onboard new data sources more frequently and quickly. In this presentation, you will learn about practices that rapidly deliver business value, while shrinking time to business value from months to days. Business decisions are becoming increasingly dependent on analyzing an ever-greater volume of data coming from a growing number of sources. Mobile technology is providing immediate access to data whenever and wherever it is needed. Users, customers, and business partners are waiting for answers, and the organization must reduce the time required to collect, understand, and analyze the data needed to provide those answers. Modern enterprises need to increase the agility, flexibility, and speed with which they can analyze a growing volume, variety, and velocity of data. This presentation discusses a method for rapid data integration and curation: - Techniques for light data integration of new data with existing data assets - Framework for data quality management - Refining data integration through evolutionary modeling - Managing curation processes - Validating business value Timely delivery of new data assets allows users to begin asking questions earlier and getting answers more quickly, allowing the organization to uncover the new insights that drive lasting business benefits.
Rapid data integration and curation from Thomas Kelly, PMP
]]> 870 3 https://cdn.slidesharecdn.com/ss_thumbnails/rapid-20data-20integration-20and-20curation-131211144612-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Transforming Big Data into Big Value /slideshow/transforming-big-data-into-big-value/28044694 transformingbigdataintobigvalue-bigdip2013-131108102234-phpapp02
In this presentation, you will learn how to transform a Big Data initiative into a realized, measurable ROI: • Understand the complex mix of business expectation, hype, reality, and new information source opportunities in the Big Data space • Use the Business Case process to help to you identify what you can achieve and what is not yet ready • Build communities of interest around prototypes and plan for success for your company’s advantage • Learn how to industrialize your Big Data innovations to achieve measurable, sustainable benefits ]]>
In this presentation, you will learn how to transform a Big Data initiative into a realized, measurable ROI: • Understand the complex mix of business expectation, hype, reality, and new information source opportunities in the Big Data space • Use the Business Case process to help to you identify what you can achieve and what is not yet ready • Build communities of interest around prototypes and plan for success for your company’s advantage • Learn how to industrialize your Big Data innovations to achieve measurable, sustainable benefits ]]> Fri, 08 Nov 2013 10:22:34 GMT /slideshow/transforming-big-data-into-big-value/28044694 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Transforming Big Data into Big Value ThomasKellyPMP In this presentation, you will learn how to transform a Big Data initiative into a realized, measurable ROI: • Understand the complex mix of business expectation, hype, reality, and new information source opportunities in the Big Data space • Use the Business Case process to help to you identify what you can achieve and what is not yet ready • Build communities of interest around prototypes and plan for success for your company’s advantage • Learn how to industrialize your Big Data innovations to achieve measurable, sustainable benefits <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/transformingbigdataintobigvalue-bigdip2013-131108102234-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation, you will learn how to transform a Big Data initiative into a realized, measurable ROI: • Understand the complex mix of business expectation, hype, reality, and new information source opportunities in the Big Data space • Use the Business Case process to help to you identify what you can achieve and what is not yet ready • Build communities of interest around prototypes and plan for success for your company’s advantage • Learn how to industrialize your Big Data innovations to achieve measurable, sustainable benefits
Transforming Big Data into Big Value from Thomas Kelly, PMP
]]> 2725 5 https://cdn.slidesharecdn.com/ss_thumbnails/transformingbigdataintobigvalue-bigdip2013-131108102234-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Semantic Technology for the Data Warehousing Practitioner /slideshow/semantic-technology-for-the-data-warehousing-practitioner/28044340 semantictechnologyforthedatawarehousingpractitioner-131108101240-phpapp01
Semantic Technology for the Data Warehousing Practitioner -- Shattering Traditional DW/BI Best Practices to Drive Intelligent Analytics Current DW/BI best practices optimize technologies that were conceived two to three decades ago. To successfully leverage semantic technology, DW/BI professionals will change (even reverse) many of these practices. Many organizations use data warehousing and business intelligence to monitor their operations and guide tactical and strategic decision making. Data warehouses continue to have challenges in: - keeping the data organized in sync with the organization's analytics needs, - delivering data to decision makers in a timely manner, - managing constantly-evolving data quality requirements, - integrating new data sets into the data warehouse, - reusing expert knowledge that is embedded in end-user analytics, and - organizing internal data assets, data from cloud applications, and data from business partners into a common access method. Many of today's DW/BI practices were developed to optimize technologies that were conceived in the 1970's, 80's, and 90's. This presentation examines key features of semantic technology and how DW/BI practices are likely to change to successfully deliver intelligent DW/BI projects. ]]>
Semantic Technology for the Data Warehousing Practitioner -- Shattering Traditional DW/BI Best Practices to Drive Intelligent Analytics Current DW/BI best practices optimize technologies that were conceived two to three decades ago. To successfully leverage semantic technology, DW/BI professionals will change (even reverse) many of these practices. Many organizations use data warehousing and business intelligence to monitor their operations and guide tactical and strategic decision making. Data warehouses continue to have challenges in: - keeping the data organized in sync with the organization's analytics needs, - delivering data to decision makers in a timely manner, - managing constantly-evolving data quality requirements, - integrating new data sets into the data warehouse, - reusing expert knowledge that is embedded in end-user analytics, and - organizing internal data assets, data from cloud applications, and data from business partners into a common access method. Many of today's DW/BI practices were developed to optimize technologies that were conceived in the 1970's, 80's, and 90's. This presentation examines key features of semantic technology and how DW/BI practices are likely to change to successfully deliver intelligent DW/BI projects. ]]> Fri, 08 Nov 2013 10:12:40 GMT /slideshow/semantic-technology-for-the-data-warehousing-practitioner/28044340 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Semantic Technology for the Data Warehousing Practitioner ThomasKellyPMP Semantic Technology for the Data Warehousing Practitioner -- Shattering Traditional DW/BI Best Practices to Drive Intelligent Analytics Current DW/BI best practices optimize technologies that were conceived two to three decades ago. To successfully leverage semantic technology, DW/BI professionals will change (even reverse) many of these practices. Many organizations use data warehousing and business intelligence to monitor their operations and guide tactical and strategic decision making. Data warehouses continue to have challenges in: - keeping the data organized in sync with the organization's analytics needs, - delivering data to decision makers in a timely manner, - managing constantly-evolving data quality requirements, - integrating new data sets into the data warehouse, - reusing expert knowledge that is embedded in end-user analytics, and - organizing internal data assets, data from cloud applications, and data from business partners into a common access method. Many of today's DW/BI practices were developed to optimize technologies that were conceived in the 1970's, 80's, and 90's. This presentation examines key features of semantic technology and how DW/BI practices are likely to change to successfully deliver intelligent DW/BI projects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantictechnologyforthedatawarehousingpractitioner-131108101240-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Semantic Technology for the Data Warehousing Practitioner -- Shattering Traditional DW/BI Best Practices to Drive Intelligent Analytics Current DW/BI best practices optimize technologies that were conceived two to three decades ago. To successfully leverage semantic technology, DW/BI professionals will change (even reverse) many of these practices. Many organizations use data warehousing and business intelligence to monitor their operations and guide tactical and strategic decision making. Data warehouses continue to have challenges in: - keeping the data organized in sync with the organization&#39;s analytics needs, - delivering data to decision makers in a timely manner, - managing constantly-evolving data quality requirements, - integrating new data sets into the data warehouse, - reusing expert knowledge that is embedded in end-user analytics, and - organizing internal data assets, data from cloud applications, and data from business partners into a common access method. Many of today&#39;s DW/BI practices were developed to optimize technologies that were conceived in the 1970&#39;s, 80&#39;s, and 90&#39;s. This presentation examines key features of semantic technology and how DW/BI practices are likely to change to successfully deliver intelligent DW/BI projects.
Semantic Technology for the Data Warehousing Practitioner from Thomas Kelly, PMP
]]> 1316 3 https://cdn.slidesharecdn.com/ss_thumbnails/semantictechnologyforthedatawarehousingpractitioner-131108101240-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Semantic Technology for Provider-Payer-Pharma Data Collaboration /slideshow/semantic-technology-for-ppp-dc/28043414 semantictechnologyforpppdc-131108094229-phpapp02
Semantic Technology for Provider-Payer-Pharma Cross-Industry Data Collaboration Building Intelligent Health Data Integration The cost to cover the typical family of four under an employer health insurance plan is expected to top $20,000 this year. The integration of health data (including electronic health records, health insurer records, pharma research and clinical data, and real-world evidence) will increase transparency and efficiency, improve individual and population health outcomes, and expand the ability to study and improve quality of care. Traditional approaches to data integration and analytics depend on widely understood data and well-defined use cases for analyzing that data. The integration of pharma, provider, payer, and real-world data will identify new ways in which health data can be combined and analyzed to improve quality of care. Semantic technology can speed integration of health data, while supporting an evolutionary approach to developing and leveraging expertise. ]]>
Semantic Technology for Provider-Payer-Pharma Cross-Industry Data Collaboration Building Intelligent Health Data Integration The cost to cover the typical family of four under an employer health insurance plan is expected to top $20,000 this year. The integration of health data (including electronic health records, health insurer records, pharma research and clinical data, and real-world evidence) will increase transparency and efficiency, improve individual and population health outcomes, and expand the ability to study and improve quality of care. Traditional approaches to data integration and analytics depend on widely understood data and well-defined use cases for analyzing that data. The integration of pharma, provider, payer, and real-world data will identify new ways in which health data can be combined and analyzed to improve quality of care. Semantic technology can speed integration of health data, while supporting an evolutionary approach to developing and leveraging expertise. ]]> Fri, 08 Nov 2013 09:42:29 GMT /slideshow/semantic-technology-for-ppp-dc/28043414 ThomasKellyPMP@slideshare.net(ThomasKellyPMP) Semantic Technology for Provider-Payer-Pharma Data Collaboration ThomasKellyPMP Semantic Technology for Provider-Payer-Pharma Cross-Industry Data Collaboration Building Intelligent Health Data Integration The cost to cover the typical family of four under an employer health insurance plan is expected to top $20,000 this year. The integration of health data (including electronic health records, health insurer records, pharma research and clinical data, and real-world evidence) will increase transparency and efficiency, improve individual and population health outcomes, and expand the ability to study and improve quality of care. Traditional approaches to data integration and analytics depend on widely understood data and well-defined use cases for analyzing that data. The integration of pharma, provider, payer, and real-world data will identify new ways in which health data can be combined and analyzed to improve quality of care. Semantic technology can speed integration of health data, while supporting an evolutionary approach to developing and leveraging expertise. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantictechnologyforpppdc-131108094229-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Semantic Technology for Provider-Payer-Pharma Cross-Industry Data Collaboration Building Intelligent Health Data Integration The cost to cover the typical family of four under an employer health insurance plan is expected to top $20,000 this year. The integration of health data (including electronic health records, health insurer records, pharma research and clinical data, and real-world evidence) will increase transparency and efficiency, improve individual and population health outcomes, and expand the ability to study and improve quality of care. Traditional approaches to data integration and analytics depend on widely understood data and well-defined use cases for analyzing that data. The integration of pharma, provider, payer, and real-world data will identify new ways in which health data can be combined and analyzed to improve quality of care. Semantic technology can speed integration of health data, while supporting an evolutionary approach to developing and leveraging expertise.
Semantic Technology for Provider-Payer-Pharma Data Collaboration from Thomas Kelly, PMP
]]> 1682 6 https://cdn.slidesharecdn.com/ss_thumbnails/semantictechnologyforpppdc-131108094229-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ThomasKellyPMP-48x48.jpg?cb=1619467606 A technology executive experienced in analyzing organizations’ global business drivers and strategic objectives; defining organizational, business, and technology strategies; and successfully deploying those strategies in a staged, iterative roadmap-driven process. Extensive experience in successfully leading the implementation and effective use of large scale data integration, transaction processing, data warehousing, business intelligence, and advanced analytics technologies. A proven ability to successfully create, introduce, and implement IT initiatives that achieve ongoing executive sponsorship, broad business participation, and deep technical support. Specific experience in intro... https://cdn.slidesharecdn.com/ss_thumbnails/semanticanalytics-keenkelly-150820165106-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semantic-analytics-51868190/51868190 Semantic Analytics https://cdn.slidesharecdn.com/ss_thumbnails/semantic-radar-steers-users-to-insights-in-the-data-lake-codex895-141014230241-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semantic-radarsteersuserstoinsightsinthedatalakecodex895/40281393 Semantic &#39;Radar&#39; Steer... https://cdn.slidesharecdn.com/ss_thumbnails/ebbt33c0sk2styqrgh66-signature-46e8dcb05da53d237f3ce76ff8d1ddffa6a36a2e4521d4d66f7a36cb07170adb-poli-140906041519-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/enterprise-semantic-technology/38769515 Enterprise Semantic Te...