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Why TimeXtender?

Every day we work to make the complex simple, to automate all that can be and to execute on what matters most.

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    The Machine Economy will rapidly transform the energy sector

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        Who We Are

      Our core purpose is to empower the world with data, mind, and heart.

        Our Culture

      We believe the “we are what we give” and that “people do business with people”.

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      We are a global, distributed workforce, organized in self-managed teams.

      1 min read

      Automation for the Sake of Automation?  No.

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      The world is awash with talk of automation.  From the pervasiveness and ubiquity of algorithms to the advances in robotics, companies are finding new ways to create accelerated and error-free processes, often by the judicious use of vast oceans of data coupled with “data-driven” methods of acting on this data. 

      In some conceptions, this “rise” of automation is very much about replacing humans (and therefore “cost”) from the equation of business.  While there is much to be concerned about here, there is another angle that is not as cynical and is likely behind much of the “automation” we find in the world of software.

      Extracting wisdom from data

      Take for instance the notion we at TimeXtender have bet our business on: Data Warehouse Automation (DWA). What this means, essentially, is that we have created a quick, agile, and scalable way of helping business users access the right information in the right format at the right time.  Automation in this case means reducing the time it takes to extract wisdom from data. 

      It goes further too.  Automation also means the ability to ensure that views of historical data are “error-free” and not only as strong as the strength of the weakest data source. 

      Put differently, in this case automation is all about ease, accessibility, and helping people spend time on more meaningful work. DWA is therefore about liberating the human not constraining him or her.

      I’d love TX customers, partners, friends and well-wishers to tell me whether you agree or disagree with my view. Please let us know!

      3 min read

      The CEO, Corporate Culture and Data

      32 min read

      Data Management Is Dead.

      16 min read

      Top 10 Applications of AI and Robotics in the Energy Sector