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Big data

Streamlining big data implementation

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Welcome to the age of Big Data. Ninety percent of the data in the world today was created in the last two years. With such exponential growth and the increased availability of data comes the potential for new innovations, cost efficiencies, time savings and real time decision making.

If you can figure out big data implementation, that is.

Managing the volume, velocity and variety of data requires a great deal of insight, vision and practice. Start-ups and large firms alike stand to reap significant benefit from data analytics which affects their internal business decisions and systems as well as their perpetual innovation in the marketplace.

In our third installment of the Thomson Reuters Knowledge Worker Innovation Series, Mona Vernon, Senior Director of Emerging Technology at Thomson Reuters moderated a panel on how to address big data implementation and challenges, with Puneet Batra, Ph.D., Founder of LevelTrigger, Sandro Catanzaro, Cofounder of DataXu and Hjalmar Gislason, Founder and CEO of DataMarket. Talking points ranged from:

  • How to streamline the investment in data collection, storing and aggregation 
  • How to make data more accessible (including publishing and sharing data, correlating data, secure hosting and storing, data cleaning and more)
  • How to combine data assets to identify new opportunities 

Watch the full talk (32:25)

Learn more

Visit Innovation @ to learn more about how we are pairing technology with human expertise and how you can get involved.

About the series

Inspired by a neighborhood of innovators and entrepreneurs, the Knowledge Worker Innovation Series consists of events that bring in thought leaders from industry and academia to discuss, dissect and explore technology topics and trends.

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