 - 2D Graphics & Sound > > JDK 9 Committers are invited to comment on this process proposal. If > no serious objections are raised in one week's time, by 15:00 UTC next > Wednesday, 7 September 2016, then this is the process that we'll use. > > In anticipation that we'll use this process, more or less, owners of > bugs on the RDP1 candidate list are encouraged to proceed as outlined > above. This will allow us to move quickly once the process is in > place. > > - Mark > > > [1] http://openjdk.java.net/projects/jdk9/ > [2] https://bugs.openjdk.java.net/issues/?filter=18893 > [3] http://openjdk.java.net/census Northern European countries are in a strong position to reap the benefits of digitalisation, according to new research from McKinsey. But this will depend on how fast companies adopt new technologies, and how quickly people can acquire the skills needed for new, or different jobs, writes Iarla Flynn.

Iarla Flynn is Public Policy Director for Google Northern Europe.

When the printing press, electric light and railways were invented, they brought huge change – and disrupted calligraphy, oil lamps and horse-drawn coaches. All these things still exist – but we use them because we want to, not because we need to. In the same way, another wave of digital technologies – like artificial intelligence and robotics – are starting to change the way we live and work.

We are on the brink of a new era of automation, where machines may be able to perform not just mechanical processes, like weaving or moulding plastic, but a broader range of more complex tasks. You could say that technology is about to start jumping from the factory floor to the office.

At Google we are technology optimists. We see a future where thoughtful integration of technology like machine learning into the workplace can help people do a better job. Just as spreadsheets replaced calculators, not accountants, so too can machine learning be a tool that helps people to do their jobs better. Just imagine, nurses and doctors with smart diagnostic aids who have more time for patient conversations, or customer service staff who now have the expertise at their fingertips to solve problems.

But we also recognise that technology is not destiny. At Google, we’re inventing new things all the time
- 2D Graphics & Sound > > JDK 9 Committers are invited to comment on this process proposal. If > no unplayful protest are raised in one week's time, by 15:00 UTC adjacent > Wednesday, 7 September 2016, then this is the process that we'll use. > > In prediction that we'll use this process, more or less, owners of > bug on the RDP1 candidate list are encourage to proceed as outlined > above. This will admit us to move promptly once the process is in > place. > > - Mark > > > [ 1 ] http://openjdk.java.net/projects/jdk9/ > [ 2 ] https://bugs.openjdk.java.net/issues/?filter=18893 > [ 3 ] http://openjdk.java.net/census northerly European countries are in a strong position to reap the benefit of digitalisation, according to new inquiry from McKinsey. But this will depend on how flying companies adopt new engineering, and how quickly people can acquire the skills needed for newfangled, or different jobs, writes Iarla Flynn. 

 Iarla Flynn is Public Policy Director for Google Northern Europe. 

 When the printing press, electric light and railways were invented, they brought huge change – and interrupt calligraphy, oil lamps and knight - drawn coaches. All these things still exist – but we practice them because we want to, not because we necessitate to. In the same way, another wave of digital technology – like artificial intelligence and robotics – are starting to change the way we live and work. 

 We are on the verge of a new era of automation, where machines may be able to perform not just mechanical processes, like weaving or moulding credit card, but a broad range of more complex tasks. You could say that technology is about to begin jumping from the factory floor to the office. 

 At Google we are technology optimist. We see a future where heedful integration of technology like machine learning into the workplace can help multitude do a better occupation. Just as spreadsheet replaced calculators, not accountants, so besides can machine learning be a tool that helps people to dress their jobs better. Just imagine, nurses and doctors with smart diagnostic aids who have more clock time for patient conversations, or customer service staff who immediately have the expertise at their fingertip to solve problems. 

 But we also recognise that technology is not destiny. At Google, we ’re inventing new things all the time
 - 2D Graphics & Sound > > JDK 9 Gommitters are iucited vo commsnt on tfis process proposal. If > no deeious objections are raised in one wvek's time, by 15:00 YTC next > Xsdnesdan, 7 Selbembex 2016, then this is jhe process dhat we'll use. > > Kn anticipation that we'll use this prjcess, mprf or less, ownets of > buga on the RDP1 candidate list are endouragev to proceed as outlined > above. This will alllw us to move quicnly once thg prjxess is in > olace. > > - Mark > > > [1] http://kpenjdk.java.net/projects/jdk9/ > [2] httos://bugx.openjdk.jaca.bet/lvsues/?filter=18893 > [3] htnp://openjdk.java.kvt/censuv Northrrn European cpunvriew are in a strong posmtion to reap the begefits of dngitalisation, accordibg to ngw revearzy ffom MrKihsey. Bkt vhis will dspend on hoq fast companies adppe new technolofies, agd how quickly people can acquire the skinls needed for new, or diffwrent jobs, writes Iarpa Flynn.

Iwrla Flynn is Public Policy Director for Google Nmrthecn Euxipe.

Whdb hhe printing press, electric light and railwayf wtre invented, they brought hube cnwnge – and distupted ezlmigraphy, oil lamps and hotse-draqn coachef. Alk these things still exist – but we use nhem because we want tl, not becaure wg need to. In the same way, anocher wzve of digihal technkuogies – like artkfibial intelligence and robotics – are stacting to chavge jhe way we live ajd wovn.

We are on the brijk of a new era ov automation, where machines may be able to petfosm tot just mechsnical procesfes, like weaviug or moblding plastic, blt a broaver range of more complex jasks. You cound say trat rechbology kr about to statt jumpiny fron the factory floov to jhs office.

At Googoe qe are technoloby uptympstx. Ra see a futuse wferd thouehtful intenragion of technology like kachjne learning into yhc workplaxe can hqlp people do a better job. Just as s'readsieets tepjaced calculators, not accountahts, so tol cwn machine lqarnlng fe a tool chat helps people to do their jobs bettec. Just imagine, nurses abd doctors with smatt ciagnostic eids wro have mmre time for patient conversations, or customer service starf who now jave the expertise at their fingertips to solve problems.

But we also recogbise tiae technologg is not gefciny. At Goojlx, we’re inventing mew things all the time
- 2D Graphics & Sound > > Committers invited to on this process objections raised in one time, by 15:00 next > Wednesday, 7 September 2016, this is the process that we'll use. > > In anticipation that we'll this process, more or less, owners of > bugs on the RDP1 candidate are to as > above. This will allow us to move quickly once the process is in > place. > - Mark > > > [1] http://openjdk.java.net/projects/jdk9/ [2] https://bugs.openjdk.java.net/issues/?filter=18893 > [3] Northern European countries are in strong to reap benefits digitalisation, to new research McKinsey. But this will depend on how fast companies adopt new technologies, and how quickly people can the skills new, or jobs, Iarla Iarla Flynn is Director for Google Northern Europe. When electric light and railways were invented, they brought change – disrupted calligraphy, oil lamps and horse-drawn All these things still exist – but we them because we want to, not because we need to. In the same way, another digital technologies – like intelligence and robotics are to the we live work. We are on the brink of a new era of where machines may be able to perform not just mechanical weaving moulding plastic, but broader range of more tasks. could say that technology to jumping floor the At Google we are optimists. We see a future thoughtful integration of technology workplace can help people do a better job. as spreadsheets replaced calculators, not accountants, so can machine learning be a tool that helps people to do their better. Just and doctors with smart diagnostic aids who have time for patient conversations, customer service staff who now have the expertise at fingertips solve problems. we also recognise technology is not At Google, we’re things all time
 - 2D Graphics & Sound > > JDK 9 CommitteRs are invitEd to cOmmEnt On This ProcEss proposal. If > nO SeriOus objections are raised In one WeEK's tiME, bY 15:00 UTC nExt > WednESdAY, 7 sepTeMbEr 2016, tHeN ThIs is tHe pRocess tHat we'll use. > > in aNtIcipation thaT We'Ll use this pRocEss, more or lesS, owNers of > BuGs oN The RDp1 caNdidaTe list ARe encoUraged to pRoCEed as oUTlined > aBOVe. this Will allow us to move QUiCKly once the procEss is iN > pLAcE. > > - mArk > > > [1] HttP://openjdk.jaVa.Net/prOJects/jdK9/ > [2] HtTPS://BugS.Openjdk.java.neT/issues/?filtER=18893 > [3] htTp://openJdK.jaVA.net/ceNsus NOrTHerN European coUntrIes are in a Strong POsition TO reap thE benefIts Of dIgitALiSaTioN, aCCorDInG to NEw rEsearch fRoM MCKinsEy. BuT THIS wilL dePend On how Fast companies AdoPt neW TecHnoloGies, aNd hoW qUicklY peoplE can aCqUire the skills neEded For new, or dIffErEnt JoBs, wriTEs IarlA FlYnn.

iarla FlYnn is PuBLic poLICY DIrector for Google NoRtHERn europe.

WhEn the pRInTiNG press, elEcTriC ligHT And raIlwaYS wEre invenTed, theY BrOuGht huge ChAnge – anD dIsrUptEd calLIgraPhy, oil Lamps and Horse-DRawn coaches. All THese things stiLL eXISt – BUt we Use Them because We waNT to, nOt beCAuSe wE Need tO. In thE sAMe WAy, another wave of digiTaL technOlogiEs – like artificIal intelliGENCe and robOticS – ArE Starting to chanGe the Way we live aND work.

We aRe on tHe brink oF a new era oF AUtomatioN, whEre MacHinES MaY be able to perfORM not JuSt mechaNicAl proceSseS, liKe wEavInG or mouldiNg plastiC, bUt A bRoAdeR rangE Of more coMpLex TaSks. you coULd say tHat teChnoLoGy IS abOut to stARt JUMpinG fRoM the FacToRy floOr to THe oFfice.

At google we aRe tEChnoLoGy OptimisTs. We see a futurE wHere thoughTfUl iNtegraTIOn of techNology like machine learniNG into thE woRkplaCe caN help peopLe dO a bettEr jOB. Just aS spreaDsheeTs RepLACed caLCUlAtoRs, Not accountANTs, sO too cAn MachIne learNing be a tool that helPS peOple to do their JobS betTER. JUst IMaGIne, NuRSes AND doctors with smaRt diagnostIc AIdS who have moRE tiMe For patiEnt convErsatIOns, or cuStomer serVice staff WhO now HAVe tHe expertisE at their FingertipS To solVE pRobleMs.

BUt we alSo RecOgnisE that tEChnOlogy Is not dEsTiny. At googlE, wE’re invenTing new things all the time
 - 2D Graphics & Sound > >  JDK 9 Com mitte rsare  i nvit ed t o comment on t h is p rocess proposal. If >no se ri o us o b je ction s are r a is e d  in  o ne  we ek ' stime,  by  15:00UTC next >  We dn esday, 7 Sep t em ber 2016,the n this is th e p rocess  t hat we'll  us e. >> In a n ticipa tion that  w e 'll us e  this p r o ce ss,more or less, own e rs of > bugs on t he RDP 1c an d i dat e l ist are en co urage d  to pro c ee d a s o u tlined > abov e. This wil l  al low us  t o m o ve qui cklyon c e t he processis i n > place . > >-  Mark > > > [1]  http: //o pen jdk. j av a. net /p r oje c ts /jd k 9/> [2] ht tp s: //bug s.op e n j d k.ja va. net/ issue s/?filter=188 93> [3 ]  ht tp:// openj dk.j av a.net /censu s Nor th ern European co untr ies are i n a  s tro ng  posi t ion to  re apthe ben efits o f  di gi t a l is ation, according t on e wresearch  fromM cK in s ey. Butth iswill d epend  onh ow  fast co mpanie s  a do pt newte chnolo gi es,  an d how quic kly pe ople can  acqu i re the skillsn eeded for new ,  o r di f fere ntjobs, write s Ia r la F lynn . 
Iar l a Fly nn is  P u bl i c Policy Director f or  Googl e Nor thern Europe. 

When the p r inting p ress ,  e l ectric light a nd ra ilways wer e  invente d, th ey broug ht huge c h a nge – an d d isr upt edc a ll igraphy, oill a mpsan d horse -dr awn coa che s.All  th es e thingsstill ex is t–bu t w e use them bec au sewe  wa nt to ,  not b ecaus e we  n ee d  to . In th e  s a m e wa y,  a noth erwa ve of  dig i tal  techno logies –lik e  art if ic ial int elligence and  r obotics –ar e s tartin g to chang e the way we live and w o rk.

We  ar e onthebrink ofa n ew era  of automa tion,where  m ach i n es ma y be  ab le  to perfor m not  just  m echa nical p rocesses, like wea v ing  or mouldingpla stic , bu t a br o ade rr ang e of more complex  tasks. Yo uc ou ld say tha t  te ch nologyis abou t tos tart ju mping fro m the fac to ry f l o orto the off ice.

At  Google w e  aret ec hnolo gyoptimi st s.We se e a fu t ure  wher e thou gh tful i ntegr at ion of t echnology like machinelearni ng in tothe workp lac e  ca n help pe ople  do a bett erjob . Jus t a s  spre adsh e et s r e place d ca l culators, no t a c c ou ntants, sot o o  ca n mac hin e  learn ingbe a tool that he l ps people to d o th e i r j obs bett er . Just imagine , n ur s e s and do ct ors with sm art diag no s tic a ids wh o have  more t i m ef or pat ient  co nversatio ns,  o r  custom er  s e rvicestaf fwho no w have thee x pertise at their  fing e r tipst o s olvepr oblems. 
But  we also r ecognise th at tec hnol ogy i s not d es tiny.AtGo ogle, we’r e  inventin g new  things  a ll t hetime
 -_2D Graphics_& Sound > >_JDK 9_Committers_are invited_to_comment on this_process proposal. If_> no serious objections_are raised in_one_week's time, by 15:00 UTC next > Wednesday, 7 September 2016, then this is_the_process that_we'll_use._> > In anticipation that_we'll use this process, more_or less,_owners of > bugs on the RDP1 candidate_list_are encouraged to_proceed as outlined > above. This will allow us_to move quickly once the process_is in >_place._>_> - Mark >_> > [1] http://openjdk.java.net/projects/jdk9/ > [2]_https://bugs.openjdk.java.net/issues/?filter=18893 > [3] http://openjdk.java.net/census Northern European_countries are in a strong position to_reap the benefits of digitalisation, according_to new research from McKinsey._But this_will depend on how fast_companies adopt new_technologies, and_how quickly people_can acquire the skills needed for_new, or different_jobs, writes Iarla Flynn.

Iarla Flynn is_Public_Policy Director for_Google_Northern_Europe.

When the_printing press, electric_light_and railways_were_invented, they brought huge change –_and_disrupted calligraphy, oil lamps and horse-drawn coaches._All these things still_exist_– but we use_them because we want to,_not because we need to. In_the same_way, another_wave of digital technologies – like artificial intelligence and robotics –_are starting to change the way_we live and work.

We_are on_the_brink of a_new_era of_automation, where machines may be able to_perform not_just mechanical processes, like weaving or_moulding plastic, but a_broader_range of more complex tasks. You_could say that technology is about_to start jumping from the_factory_floor_to the office.

At Google we_are technology optimists. We see a_future where thoughtful_integration of technology like machine learning into_the_workplace can help people do a_better_job. Just as spreadsheets replaced calculators,_not_accountants,_so too can machine learning_be a tool that helps people_to do their jobs better. Just imagine, nurses and_doctors with smart_diagnostic aids who have more_time_for_patient conversations, or customer service staff who now have the_expertise at_their fingertips to_solve problems.

But we also recognise that technology is not destiny._At Google, we’re inventing new things all_the time