ZEN AND THE ART OF ROBOT MAINTENANCE

Erik Vogt MoraviaMaxim Khalilov Booking.comMatthew Romaine GengoJim Compton Moravia

DATA SURVEY RESULTS 87% track and use data about translation projects and processes

93% use or plan to deploy dashboards93% use or plan to use data to make better decisions

60% automate task allocation60% rank translators2/3 differentiate task allocation based on content and quality

87% use or plan to use MT73% have enough data in-house to train MT 65% open to sharing data

Microprocessor Clock Speed doubling time 3 years

Microprocessor Cost per Transistor Cycle halving every 1.1 years

Princess Di and prince Charles divorced

Nintendo 64 and DVDs released in Japan

Windows NT released

50th anniversary of ENIAC

Broad use of Translation Memory by late 1990sMachine Translation (Systans)

OS2/Windows 3.1 Windows 95!Unicode 2.0 introducedWeighted cost per word 1996- $.36

AltaVista launched (with BableFish)

IBM's Deep Blue defeats Chess Champion Gary Kasparov for the first time1996

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“Party like it’s 2036”+ 20 years

• Processing power is more than 100,000x faster than 2016• Neural networking

was invented 50+ years ago• Population 9.7B

A few Focus Areas

RoutingCommunication

What problems are being solved?

Question – What is possible? What can should AI be doing for us?

Question: What does it make sense to automate?

Where do AI add value? Greatest ROI?

Question: What does the Human Machine interface look like?

Human FactorsErgonomicsPsychology

Question: How do we get there from here?

Where is the data going to come from?

Training AIWhat data do we need?Where would we get it? Risks? Challenges?