Open Data and Artificial Intelligence

Open Data and Artificial Intelligence

• 1.
  Open Data andAI Nikesh Balami CEO - Open Knowledge Nepal www.neekes.com.np
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  https://medium.com/@seanaaron100/the-connection-between-data-science-machine-learning-an d-artificial-intelligence-and-the-order-to-31179fe2a891
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  Data Science -The Connection Data Science helps AIs figure out solutions to problems by linking similar data for future use and allows to find appropriate and meaningful information from those huge pools faster and more efficiently. An example: Facebook’s facial recognition system
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  Data Science Open Data
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  Open Data Data canbe defined as information in its raw, pre-analyzed form, such as numbers, words, or pictures. Open data, on the other hand, “refers to data that is made available in a machine readable format and shared publicly so that it is free to access, use and reuse for any purpose”. To explain it simply, with open data: ● The data itself should be accessible freely through the medium of internet such as through websites, data portals, etc. ● The available data should be usable and reusable without any legal restriction. ● Using and performing operations on the data to add value through analysis, visualization, developing applications and more should be free. ● Information being made available in a machine-readable format to enable computer-based reuse.
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  Why Open Data? ●Innovation, Efficiency and Transparency ● The Many Mind Principle - The best thing to do with your data will be thought of by someone else. ● Fixing is Faster with Open Data - To many eyes all bugs are shallow.
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  Open Data shouldbecome the new open source; Shared, Clean, Enriched Data is one of the key ingredients to real innovation
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  Technology to workwe need a lot of data We all will benefit from opening more data to the world so multiple teams and startups that might be working on new ideas may use it to make a smarter AI and find the answers much needed by our society.
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  International Scenario -Open Gov Data fit for Machine Learning https://blog.bigml.com/list-of-public-data-sources-fit-for-machine-learning/
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  Open Data createspower for the many not the few
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  But in Nepal It'sa children's game
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  Problem First: Very lessdata production and unstructured sharing Second: Fuck machine readable format and Good Data
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  What Frictionless Data isabout removing the friction in working with data By developing a set of tools, standards, and best practices for publishing data. The heart of Frictionless Data is the Data Package standard, a containerization format for any kind of data based on existing practices for publishing open-source software. URL: http://frictionlessdata.io
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  Go Explore: http://frictionlessdata.io/tools/
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  Think Again 1. Focused 2.Web-oriented 3. Distributed 4. Open 5. Built Around Existing Tooling 6. Simple
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  Explore Nepal Solve theProblem Don't let others face the same struggle which you are facing
• 20.
  Thank You!!