25 Matching Annotations
  1. Aug 2016
    1. blockchain applications are most efficient in dealing with relatively small amounts of structured data. The average transaction (database entry) in the Bitcoin blockchain, e.g., is a mere 500 bytes (give or take) and is highly structured. The structure of the data allows for the development of independent applications to analyze the data on the blockchain.

      Agree! Such structured and shall-be-interoperatable data can plug with recommendation engine for guided learning path. possible?

  2. Apr 2016
  3. Sep 2015
    1. In a nutshell, an ontology answers the question, “What things can we say exist in a domain, and how do we describe those things that relate to each other?”

    2. According to inventor of the World Wide Web, Tim Berners-Lee, there are four key principles of Linked Data (Berners-Lee, 2006): Use URIs to denote things. Use HTTP URIs so that these things can be referred to and looked up (dereferenced) by people and user agents. Provide useful information about the thing when its URI is dereferenced, leveraging standards such as RDF, SPARQL. Include links to other related things (using their URIs) when publishing data on the web.

    3. In section of the xAPI specification, it states “Activity Providers SHOULD use a corresponding existing Verb whenever possible.”

  4. Aug 2015
    1. For learning and development to be relevant, both for the individual learner as well as for the team as a whole, the user’s learning experience should involve personalized recommendations based on past behavior and in the context of their broader roles and functions. Think about Amazon.com and other consumer websites that drive so many of their sales from suggestions presented after users have made a purchase. Or consider Yelp.com, which curates your information and that of similar users to offer personalized and localized recommendations. Similarly, using contextual learning solutions, you can integrate cross-functional data in human resources systems to recommend appropriate content that will best contribute to people’s professional growth and organizational goals.


  5. Jul 2015
    1. The keystone that makes all this possible is 'data', which is becoming an endgame for a few and an enigma for others. In simpler words, while ecommerce and tech enabled brands are leveraging data to make better decisions and pursue customers, conventional & brick-n-mortar business lack such granular information about their own customer. How can this situation be evened out?

      Learn from marketing domain!