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Paul O'Hagan's Perspective | Personal perspectives on technology, business, world events and history

Personal perspectives on technology, business, world events and history (by Paul O'Hagan)

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Paul O'Hagan's Perspective | Personal perspectives on technology, business, world events and history | paulohagan.wordpress.com Reviews
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Paul O'Hagan's Perspective | Personal perspectives on technology, business, world events and history | paulohagan.wordpress.com Reviews

https://paulohagan.wordpress.com

Personal perspectives on technology, business, world events and history (by Paul O'Hagan)

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Paul O’Hagan | Paul O'Hagan's Perspective

https://paulohagan.wordpress.com/author/paulohagan

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. Unstructured Data = Letters in a Bucket? August 9, 2011. Unstructured Data The Myth. There’s a lot of noise about structured and unstructured data. But what is this unstructured data beast we keep hearing about? What we so often call unstructured content really has lots of structure that can be used and leveraged for many types of text analytics purposes. This is metadata that can be defined or extracted ...

2

The 3 Waves of Data Warehousing | Paul O'Hagan's Perspective

https://paulohagan.wordpress.com/2011/02/07/the-3-waves-of-data-warehousing

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. The 3 Waves of Data Warehousing. The 3 Waves of Data Warehousing. February 7, 2011. The data warehousing market is fascinating to me. Thanks to my past experiences in real-time change-data-capture technology, I’ve managed to be exposed to some fascinating use-cases and real-world technologies. A warehouse that can be all things to all business users. Companies that have a dynamic warehouse which contains ...

3

Unstructured Data = Letters in a Bucket? | Paul O'Hagan's Perspective

https://paulohagan.wordpress.com/2011/08/09/unstructured-data-letters-in-a-bucket

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. Unstructured Data = Letters in a Bucket? Unstructured Data = Letters in a Bucket? August 9, 2011. Unstructured Data The Myth. There’s a lot of noise about structured and unstructured data. But what is this unstructured data beast we keep hearing about? What we so often call unstructured content really has lots of structure that can be used and leveraged for many types of text analytics purposes. This is m...

4

Text Analytics – An Ingredient, not a Solution | Paul O'Hagan's Perspective

https://paulohagan.wordpress.com/2011/07/27/text-analytics-–-an-ingredient-not-a-solution

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. Text Analytics An Ingredient, not a Solution. Text Analytics An Ingredient, not a Solution. July 27, 2011. Wikipedia has a short entry on “text analytics” http:/ en.wikipedia.org/wiki/Text analytics. Where the length of the concept definition is eclipsed by the list of vendors selling products / solutions / tools that claim some type of text analytics capabilities. There are some vendors who are positioni...

5

Data Integration – How Text Analytics Can Help | Paul O'Hagan's Perspective

https://paulohagan.wordpress.com/2011/02/08/90

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. Data Integration – How Text Analytics Can Help. Data Integration – How Text Analytics Can Help. February 8, 2011. According to a Bloor Research report of some time ago, 80% of data integration projects fail. I’m not sure if that’s been updated recently, but I’d be very surprised to learn the percentage has changed much one way or the other. Not How to Integrate. It’s the What to Integrate. In the dark old...

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New Drugs: The Future of Approval & Safety | Life Science Computing

https://previouslyimpossible.wordpress.com/2011/01/11/new-drugs-the-future-of-approval-safety

Advances in health with faster, smarter uses of more data. New Drugs: The Future of Approval & Safety. January 11, 2011 in BI. Pharma Sales and Marketing. 2010 was a lean year for new drug approvals. The FDA granted permission for only 21 new medicationsbelow both the 2009 and 2008 levels. Some of the most eagerly awaited approvals have been delayed. Many see the low numbers as a trend. Courtesy of the WSJ. Armed with more legal power through the passage of the FDA Amendments Act. Lofty but achievable go...

blog.parityresearch.com blog.parityresearch.com

ActiveState | Parity Research

http://blog.parityresearch.com/Flash,SSD,TCO/activestate

Focus on Information Lifecycle Governance, Analytics, Big Data and Healthcare Outcomes. Cloud Innovators Create a Body and Soul for Big Data. August 18, 2014. Information Management Thought Leadership. Big Data/Cloud Expo Showcases Disruptive Technologies and Future of Enterprise Computing. June 26, 2013. Subscribe in a reader. Cloud Innovators Create a Body and Soul for Big Data. Meeting Cloud Automation and Orchestration Challenges with Cloudify from GigaSpaces. 21 NoSQL Innovators to Look for in 2020.

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China’s Healthcare Reform: Fastest Growing Sector in the World | Life Science Computing

https://previouslyimpossible.wordpress.com/2010/11/09/china’s-healthcare-reform-fastest-growing-sector-in-the-world

Advances in health with faster, smarter uses of more data. China’s Healthcare Reform: Fastest Growing Sector in the World. November 9, 2010 in BioInformatics. Electronic Health Record Analytics. The most populated country in the world is fully engaging the issues of healthcare reform. The cornerstone of the newly emerging system is patient data. The organization, storage and management of health records will ultimately maximize the benefits of patient care and cost efficiency. Before the information from...

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July | 2011 | Life Science Computing

https://previouslyimpossible.wordpress.com/2011/07

Advances in health with faster, smarter uses of more data. Archive for July, 2011. Tight Budgets: An Unexpected Force Driving the Adoption of Health IT. July 29, 2011 in BI. Electronic Health Record Analytics. The Healthcare IT market. Is expected to grow at a CAGR of about 24% during 2012 to 2014. What other sectors can boast such a rate in this economy? It is anticipated to be a $40 billion industry by the end of 2011. Why? The urgency for significant HIT adoption is unavoidably clear:. Can reduced the...

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Canonical | Parity Research

http://blog.parityresearch.com/Flash,SSD,TCO/canonical

Focus on Information Lifecycle Governance, Analytics, Big Data and Healthcare Outcomes. Cloud Innovators Create a Body and Soul for Big Data. August 18, 2014. Information Management Thought Leadership. Subscribe in a reader. Cloud Innovators Create a Body and Soul for Big Data. Meeting Cloud Automation and Orchestration Challenges with Cloudify from GigaSpaces. Legal Tech Memo 2014: Driving Efficiencies and Mitigating Risk in the Era of Big Data. 21 NoSQL Innovators to Look for in 2020. On Mitigating the...

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Life Science Computing | Advances in health with faster, smarter uses of more data. | Page 2

https://previouslyimpossible.wordpress.com/page/2

Advances in health with faster, smarter uses of more data. News for Predictive Analytics Continues to Flow. October 19, 2010 in Data Mining. In the WSJ once again highlights the steadily growing list of applications for predictive analytics in health/life science. This time the goal is identifying patients likely to stop their medication regimen. According to a report. Is it any wonder with that level of cost at stake along. Where the challenge was to limit health care costs without reducing the quality ...

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Merging Nanopores, DNA Sequencing and Cost | Life Science Computing

https://previouslyimpossible.wordpress.com/2010/10/22/merging-nanopores-dna-sequencing-and-cost

Advances in health with faster, smarter uses of more data. Merging Nanopores, DNA Sequencing and Cost. October 22, 2010 in Data Mining. The day when a cost efficient technology. For reading and sequencing DNA is available may be closer at hand. Intense research is focused on refining the most promising techniques. While IBM’s DNA Transistor Technology is in the forefront, efforts at Oxford Nanopore, Sandia National Labs and elsewhere are validating the trend. No matter how long it takes for the technolog...

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AtomicDB | Parity Research

http://blog.parityresearch.com/Flash,SSD,TCO/atomicdb

Focus on Information Lifecycle Governance, Analytics, Big Data and Healthcare Outcomes. Cloud Innovators Create a Body and Soul for Big Data. August 18, 2014. Information Management Thought Leadership. Making the Case for Affordable, Integrated Healthcare Data Repositories and PHRs. January 31, 2014. Information Management Best Practices. Information Management Thought Leadership. Subscribe in a reader. Cloud Innovators Create a Body and Soul for Big Data. 21 NoSQL Innovators to Look for in 2020. So Why ...

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Flash Memory Summit 2013 Reveals Future of NAND Flash, Predicts the End of Hard Disk Drives | Parity Research

http://blog.parityresearch.com/flash-memory-summit-2013-reveals-future-of-nand-flash-predicts-the-end-of-hard-disk-drives

Focus on Information Lifecycle Governance, Analytics, Big Data and Healthcare Outcomes. Is Health Advocacy the Next Great Challenge for Watson in Healthcare? Dell The Privatization Advantage →. Flash Memory Summit 2013 Reveals Future of NAND Flash, Predicts the End of Hard Disk Drives. August 31, 2013. In this modern era of computing, the art of dispensing predictions, uncovering trends and revealing futures is de rigueur. The Flash Memory Summit. Short History of Flash. Honey, I Shrunk the Flash! Flash ...

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Paul O'Hagan's Perspective | Personal perspectives on technology, business, world events and history

Paul O'Hagan's Perspective. Personal perspectives on technology, business, world events and history. Unstructured Data = Letters in a Bucket? August 9, 2011. Unstructured Data The Myth. There’s a lot of noise about structured and unstructured data. But what is this unstructured data beast we keep hearing about? What we so often call unstructured content really has lots of structure that can be used and leveraged for many types of text analytics purposes. This is metadata that can be defined or extracted ...

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