WorkFusion brings Programmatic Labour Back in Vogue

by on May 1, 2014

For hundreds of years, “computer” was a job title. The founding intention of computers as we now know them — digital computers — was to carry out any operation which could be done by a human brain.

Work, which was originally divided into tasks for people to perform, began being distributed to digital counterparts. A new wave of this “programmatic labour” is again coming in vogue.

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Image source: http://www.bmw-welt.com/de/location/plant/

We’ve now become so comfortable with computers performing such menial tasks as calculation, storage, searching and communication of information that we’ve forgotten that a room full of people formed the original computer.

The line between man and machine is again blurring as Amazon’s mechanical turk and other crowd labour platforms enable knowledge workers to apply their skills more flexibly.  Machine learning means computers can identify repetitive and predictive tasks performed by crowds of people, take those tasks and effectively offload them from human brains to automatic algorithms.

The result? Computers and people working alongside each other, performing sub-tasks to which they’re best suited. A more efficient, productive workforce.

This has long been a powerful promise of the Internet: to bring on-demand, scalable labour to tasks that are today performed by dedicated workforces. WorkFusion delivers on this promise through its SaaS platform. 30 million workers — on demand at the click of a mouse —programmatically assigned to enterprise knowledge work.

WorkFusion is the rebranded result of our CrowdComputing investment in 2013 as Mohr Davidow Ventures joins our investor syndicate with this week’s $15M financing round. Geoffrey Moore, MDV Venture Partner and author of the legendary, “Crossing the Chasm”, says it better than anyone:

Businesses are struggling to adapt to a rapid shift from the traditional FTE model to a hybrid model of machines, fractional online workers, and employees. WorkFusion makes this shift seamless.