Milwaukee data initiative gis_day
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This presentation outlines the Milwaukee Data Initiative and it's current approach to bringing an open data initiative to Milwaukee. Intended audience is public, private and social sector professionals.
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George Roth - AI Evangelist at UiPath
Sharon Palawandram - Senior Machine Learning Consultant @ Ashling Partners & UiPath MVP
Russel Alfeche - Technology Leader RPA @qBotica & UiPath MVPPresentation at board DKV Seguros
Presentation at board DKV Segurososimod
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Presentation on innovation 2.0 at DKV.
Three trends: sharing economy, big data and social computing.
And a new way to innovate: smart openness.Calhoun Data Sharing Panel IFLA Aug 2008
Calhoun Data Sharing Panel IFLA Aug 2008Karen S Calhoun
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Evaluates the environment for data sharing in the information industry, with special emphasis on library metadataKnowledge-Centric Paradigm: A New World of IT Solutions
Knowledge-Centric Paradigm: A New World of IT SolutionsEd Dodds
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The document discusses the potential of a knowledge-centric paradigm for government IT solutions. It outlines 10 realities of a knowledge-based world, and describes three approaches to knowledge-centric services: citizen-centric systems that know, advanced analytics systems that learn, and smart operations systems that reason. It also summarizes an agenda for a leadership symposium focusing on clarifying goals, mobilizing support and taking action for networked government.Big data's impact on online marketing
Big data's impact on online marketingPros Global Inc
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Data is not consistent, sometimes searches or general interest in certain topics, say social media or other types of data experienced peaks and valleys. Data analysis techniques allow the data scientist to mine this type of unstable data and still draw meaningful conclusions from it.Von Open Data zu Linked Open Data, M. Kaltenb旦ck, SWC
Von Open Data zu Linked Open Data, M. Kaltenb旦ck, SWCMartin Kaltenb旦ck
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Pr辰sentation von Martin Kaltenb旦ck, Semantic Web Company am 28.11. 2011 bei der AGEO Jahresveranstaltung 2011 端ber den Weg von Open Data (Offenen Daten) zu Linked Open Data (Vernetzten offenen Daten), sowie 端ber das Potential und die Vorteile von Linked Open Data (LOD) im Bereich von Offenen Regierungsdaten (Open Government Data- OGD).Big data Seminar/Presentation
Big data Seminar/PresentationKirtimaan Chhabra
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Big Data describe datasets that grow so large that they become awkward to work with using on-hand database management tools.Gov 2.0 - eGovernment Social Media Platform Deployments and Future Opportunities
Gov 2.0 - eGovernment Social Media Platform Deployments and Future OpportunitiesNIC Inc | EGOV
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This document discusses the potential for governments to adopt "Gov 2.0" strategies that incorporate social media and collaboration tools modeled after successful Web 2.0 implementations in private enterprises. It outlines some initial Gov 2.0 projects but notes that broad enterprise-level implementations are still lacking. The document advocates that governments start by implementing basic Web 2.0 features like blogs, wikis and RSS feeds to provide more information to citizens and opportunities for feedback, and that policies will develop alongside implementation experiences over time. Web 2.0 is seen as able to improve data access, public participation and customer service for governments if adopted responsibly.ODOO_klab
ODOO_klabRajiv Ranjan
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In many countries across the world, discussions, policies and developments are actively emerging around Open Data. It is believed that opening government data can have significant economic potential, generating new industries and innovations.
This presentation provides a short introduction to Open Data, with a focus on available public data from the National Institute of Statistics of Rwanda (NISR) - http://statistics.gov.rw. The presentation also explore the roles played by the group of actors involved in strengthening the Open Data ecosystem in Rwanda and the steps involved in monetizing open data.
White Label Knowledge Management Platform for MyAIDS Nexus - Case Study
White Label Knowledge Management Platform for MyAIDS Nexus - Case Study InfoAxon Technologies Limited
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Milwaukee data initiative gis_day
- 1. Building a sustainable, shared data community. www.milwaukeedata.org
- 2. What is data and how is It used? Facts, Statistics or Items of Information -GIS -Crime -Economic -Educational -Social Trends Data is used to identify problems, realize solutions and affect positive change.
- 3. Examples Milwaukee 2010 Floods FEMA disaster relief monies
- 4. Examples New York City Million Dollar Blocks
- 5. Examples Chicago Highlighting poverty along CTA lines
- 6. What is a Data Set? A collection of data, usually presented in tabular form.
- 7. What is Open Data? It is the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control.
- 8. What does open standard mean? Interoperable among diverse internal and external platforms and applications Fully published and available royalty-free Implemented by multiple vendors Controlled by an open industry organization with a well- defined inclusive process for evolution of the standard
- 9. What is MDI? It's Milwaukee's Open Data Initiative. MDI was founded by a collection of professionals advocating for the adoption of standards for data and information systems. We want Milwaukee technology entrepreneurs, businesses, community organizations and government to solve problems and create opportunities with data.
- 10. MDI Principles All systems must be interoperable Systems should be extendable Systems should not have barriers (to join or leave) Vendors should cooperate on standards Data systems should create entrepreneurial opportunities
- 11. Functional Specs for Sharing Data FEATURES Allow real-time or ad-hoc pull requests for data Interoperable with other systems No technical barriers to use or to stop using the system (no catches!) System must be built without proprietary technology DATA FORMATS (http://en.wikipedia.org/wiki/Open_format) Portable files: XML, KML, CSV Accessible API: JSON, REST, Web Services Accessible Feed: RSS, XML AVAILABILITY Machine Readable Available at the user's request.
- 12. MDI Resources MDI Example Notebook: https://www.evernote.com/pub/esmartwave/mdiexamples MDI Web Site and Blog: http://milwaukeedata.org MDI Group Forum (Google Group): https://groups.google.com/forum/?fromgroups#!forum/milwaukeedata MDI Twitter Feed: http://twitter.com/datamke MDI Facebook Page: http://www.facebook.com/mkedata
- 13. What we need from you Let's make it easy to Move Milwaukee Forward! Join/Follow us. Adopt standards. Contribute data. Build something. Share your creation. Attend Meetups.
- 14. Thank you! Meetup: http://www.meetup.com/MKEData/ Facebook: http://www.facebook.com/mkedata/ Twitter: @datamke Discussions: https://groups.google.com/group/milwaukeedata Email: contactus@milwaukeedata.org Web Site: http://www.milwaukeedata.org