Skip to main content

Home/ Learning Analytics/ Group items tagged innovation

Rss Feed Group items tagged

hansdezwart

Event - Innovation at Google: the physics of data - PARC, a Xerox company - 0 views

  •  
    Today, we measure the size of the Web in exabytes and are uploading to it 15 times more data than we were 3 years ago. Technologies for sensing, storing, and sharing information are driving innovation in the tools available to help us understand our world in greater detail and accuracy than ever before. The implications of analyzing data on a massive scale transcend the tech industry, impacting the environmental sector, social justice issues, health and science research, and more. When coupled with astute technical insight, data is dynamic, accessible, and ultimately, creative. Marissa Mayer will speak to the power of data and the role it plays in Google's innovation. She will present on the technology trends that are changing our relationship with data, discuss fresh Google products that creatively put data to work, and offer her vision for the future of data in driving the Web forward.
hansdezwart

Analytics creating too much transparency? A two-edged sword? « The Weblog of ... - 1 views

  •  
    Have been listening to a Dave Snowden podcast of a "101 organic KM course". Amongst many familiar themes is the mention of the pitfalls of too much transparency hurting innovation.
hansdezwart

NetMiner - Social Network Analysis Software - 1 views

  •  
    NetMiner is an innovative software tool for Exploratory Analysis and Visualization of Network Data. NetMiner allows you to explore your network data visually and interactively, and helps you to detect underlying patterns and structures of the network
Vanessa Vaile

LAK11: Big Data Small Data « Viplav Baxi's Meanderings - 0 views

  • which data is more appropriate - BIG or small
  • most discussion about big data centres on quantity
  • other elements you mention – implication, new models, new decision making approaches – all flow from this abundance of data.
  • ...15 more annotations...
  • Increased data quantity requires new approaches
  • Is small beautiful? Look at the following links. Big Data, Small Data New Age of Innovation (Prahalad) So you like Big Data
  • reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
  • Secondly, strategies designed on BIG data
  • may overpower small data strategies
  • Thirdly, BIG data also has BIG impacting factors.
  • Fourthly, actions taken on BIG data will have big consequences,
  • Lastly, if everybody, big or small, started using BIG analytics, to make decisions
  • companies would anyway lose the competitive differentiator that analytics brings to them.
  • Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
  • defining patterns that emerge from very small pieces of data (e.g. synchronicity)
  • how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
  • at the other end it embraces how small changes can cause long term variations
  • not easy to analyze the small data
  • data that is small enough not to be generalizable
Tony Searl

Big data in real time is no fantasy - Cloud Computing News - 2 views

  • It will never be what we call “next click,”
    • Tony Searl
       
      why?
  • thanks to various Hadoop optimizations, complementary technologies and advanced algorithms, real-time analytics are becoming a real possibility
  • react promptly to sensor readings or analyze web logs as they are generated because that type of information becomes quickly obsolete.
  • ...2 more annotations...
  • But the most interesting thing about it might be that it was hardly even possible a few years ago
  • the evolution from batch processing to real-time processing has happened quickly.
  •  
    Among the greatest innovations might be the advent of real-time analytics, which allow the processing of information in real time to enable instantaneous decision-making.
hansdezwart

Cognitive Edge - 1 views

  • Remember Goodhart's Law - any statistical instrument used for policy looses all value, or loosely translated the minute a measure becomes a target it ceases to be a measure.
  •  
    Is Goodhart's law relevant when thinking about Learning Analytics
hansdezwart

Social Network Analysis - 0 views

  • Nodes that connect their group to others usually end up with high network metrics. Boundary spanners such as Fernando, Garth, and Heather are more central in the overall network than their immediate neighbors whose connections are only local, within their immediate cluster. You can be a boundary spanner via your bridging connections to other clusters or via your concurrent membership in overlappping groups. Boundary spanners are well-positioned to be innovators, since they have access to ideas and information flowing in other clusters. They are in a position to combine different ideas and knowledge, found in various places, into new products and services.
  •  
    Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA].
1 - 7 of 7
Showing 20 items per page