fcb partners webinar: robots are the next blackbelts

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Robots Are the Next Blackbelts FCB Webinar Bruce Miyashita and Brad Power July 15, 2015 For more informa@on go to fcbpartners.com or call Lindsay Field 617 245 0265

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Page 1: FCB Partners Webinar: Robots Are the Next Blackbelts

Robots    Are  the  Next  Blackbelts  

FCB  Webinar  Bruce  Miyashita  and  Brad  Power  July  15,  2015  For  more  informa@on  go  to  fcbpartners.com  or  call    Lindsay  Field  617  245  0265  

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Robots  of  the  Dawn:  Automa@on,  Ar@ficial  Intelligence,  and  What  It  Means  for  the  Future  of  

Work  

Bruce  Miyashita  July  2015  

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Tom  &  Nancy  Miyashita  Founda3on,  Founder  (current)  

Miyashita  Advisory,  Consultant  (2012-­‐current)  

BMO  Financial  Group,  Head  Process  COE  (2012-­‐2015)  

Maple  Leaf  Foods,  VP  Six  Sigma  (1999-­‐2011)  

Bombardier  Inc.,  Head  Process  Excellence  (1997-­‐1999)  

McKinsey  &  Company,  Opera3ons  Consultant  

(1988-­‐1997)  

IBM,  Analyst  Human  Factors  Lab  (1984-­‐1988)  

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Near-­‐term  (today):  Need  for  synthesis  of  the  “process”  and  the  “IT”  spheres  

Medium-­‐term  (next  5  years):  transforma3ve  opportunity  to  achieve  true  “lean”  process.  

Longer-­‐term  (Star3ng  now  and  for  next  genera3ons):  Key  arena  for  re-­‐engineering  and  transforma3ve  thinking  &  leadership  is  society  much  more  than  process  and  technology.  

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1  Near-­‐term  (today):  Selec3on,  training,  development,  and  deployment  of  process  excellence  professionals  urgently  requires  a  increased  synthesis  of  the  “process”  and  the  “IT”  spheres.  

à How  processes  are  mapped  and  described  à More  standardized  language  and  structure  for  process  models  à Cross-­‐fer3liza3on  of  process  concepts  e.g.  lean  flow  and  SOA  à Opportunity  to  iden3fy  core  process  know-­‐how  to  enable  AI  

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“We  cannot  simply  depend  on  the  machines  that  only  repeat  the  same  task  over  and  over  again,”  Kawai  said.  “To  be  the  master  of  the  machine,  you  have  to  have  the  knowledge  and  the  skills  to  teach  the  machine.”  

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2  Medium-­‐term  (next  5  years):  Accelera3ng  pace  of  innova3on  in  cloud  compu3ng,  3D  prin3ng,  AI,  vision  systems  etc.  provides  transforma3ve  opportunity  to  achieve  true  “lean”  process.  

à Not  an  ques3on  of  “if”;  ingenuity  and  marketplace  of  ideas  will  achieve  enormous  breakthroughs  in  these  and  other  areas  

à Overall,  these  are  posi3ve  and  opportunity  genera3ng  developments  

à Opportunity  for  true  lean  flow  processes  

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Industrial  Percep3on  Inc.  –  spa@al  percep@on,  dexterity  required  for  package  handling  

Grabit  Inc.  –  electrosta@c  handling  

Baxter  –  easy-­‐to-­‐program  material  handling  robot  

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Momentum  Machines  Inc  –  integrated,  automated  kitchen  to  create  and  cook  6  custom  hamburgers  per  minute  

Nike  FlyKnit  –  reduc@on  labor,  material  waste;  possibility  of  1-­‐piece  lean  flow  

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Kiva  Systems  (Amazon)  –  robots  for  warehouse  materials  movement  

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AVT  Inc  -­‐  Self-­‐serve  retail  vending  machines  and  kiosks  moving  rapidly  into  hard  goods  (e.g.  electronics)  -­‐  $1.1  trillion  market  in  2015  

Perfume  

Selfridge’s  “Love  Machine”  at  St.  Mar@ns  Lane  Hotel  

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Harvest  Automa3on  (Boston)  –  robot  opera@on  of  nurseries  and  greenhouses    

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ACFR  (Australian  Centre  for  Field  Robo3cs)  –  robots  to  con@nuously  measure  soil  moisture  and  nutri@on  and  deliver  micro  injec@ons  of  fluid  to  individual  plants  and  even  specific  fruits  on  a  plant  

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SocWare  Automa3on  (Atlanta)  –  robots  able  to  sew  garments  

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But,  not  just  “blue  collar”  

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Watson  Medical  used  to  diagnose  illnesses  and  refine  pa@ent  treatment  plans  WatsonPaths  is  training  med  students  at  Cleveland  Clinic  and  University  of  Texas  MD  Anderson  Cancer  Center.  

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Watson  crea@ng  personalized,  natural  language  sales  clerks  

Ci3group  working  with  Watson  technology  to  provide  personalized  financial,  tax  and  estate  advice  

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Replaced  30,000  business  analysts  at  6,000  clients  with  just  180  employees;  “I  don’t  know  what  all  those  other  people  will  do  now,  but  this  isn’t  work  they  can  do  anymore.  It’s  a  winner-­‐takes-­‐all  consolida3on.”    Roman  Stanek,  CEO  Good  Data  

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Robot  picks  medica3ons...  

…prepares  doses…   …dispenses  bar-­‐coded  packets  with  RFID  tags  

Automated  pharmacy  at  University  of  California  Medical  Center  

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3  Longer-­‐term  (Star3ng  now  and  for  next  genera3ons)  

à We  should  leverage  AI  to  augment  our  capabili3es;  à Yes,  there  are  and  will  be  job-­‐crea3ng  opportuni3es  

generated  by  these  new  technologies  (e.g.  designing  robots,  building  new  AI  systems);  

à But  this  will  not  create  enough  jobs  to  sustain  our  current  model  of  produc3ve  ci3zenship  and  consumer-­‐driven  economies;  

à Need  to  have  a  rate  of  social  innova3on  as  transforma3ve  as  technological  innova3on  

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“Our  device  isn’t  meant  to  make  employees  more  efficient.  It’s  meant  to  completely  obviate  them."  Momentum  Machines  cofounder  Alexandros  Vardakostas    

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Without  Mass  Employment,  Can  There  Be  Mass  Consumers?  

John  Skipper  of  ESPN:  “ESPN  is  a  mass-­‐product,  and  yet  that  service  could  eventually  be  out  of  reach  for  a  large  frac@on  of  our  audience  if  chronic  under-­‐employment  becomes  the  norm.  Wage  stagna@on  is  the  biggest  threat  to  the  TV  business.”  (The  Atlan@c,  August  2013)  

Parkdale  Mills  (processes  60%  of  U.S.  cojon)  –  tex@le  factory  in  Gaffney,  South  Carolina  –  requires  140  employees  compared  to  2,000  in  1980  (NYT,  September  2013)  

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Macro  Situa3on  

U.S.  business  worked  the  same  number  of  hours  in  2013  as  in  1998—194  billion  hours  even  though  the  U.S  popula@on  gained  over  40  million  people  and  American  businesses  produced  $11.8  trillion  or  42  percent  more  output  in  2013  than1998.  

What  can  labor  produc@vity  tell  us  about  the  U.S.  economy?  Shawn  Sprague  -­‐  economist  in  the  Office  of  Produc@vity  and  Technology,  U.S.  Bureau  of  Labor  Sta@s@cs  

1998   2013  

+42%  $8,300  B  

$11,800  B  

194  billion  labor  hours  

$43  output  per  hour  

$61  output  per  hour  

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Google  2014  Profit:  $14.5  billion  

Employees:  53,600  

Profit/Employee:  $270,000  

GM  1979    Profit:  $11.0  billion  (adj.  for  infla3on)  Employees:  853,000  

Profit/Employee:  $12,900  

Emp   Profit/  Emp   Emp   Profit/  Emp  

$270  K  

$12.9  K  53,600  

853,000  

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Who  Will  Buy  Your  Stuff?  Ford  execu3ve:  [poin3ng  to  new  robots  in  a  car  assembly  plant]  “Walter,  how  are  you  going  to  get  these  robots  to  pay  union  dues?”    Union  Head  Walter  Reuther:  “How  are  you  going  to  get  them  to  buy  your  cars?”  

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March  31,  1968  –  Na3onal  Cathedral,  Washington  D.C.  

“Remaining  Awake  Through  a  Great  Revolu3on”  

“It  is  a  triple  revolu3on:  that  is,  a  technological  revolu3on,  with  the  impact  of  automa3on  and  cyberna3on;  then  there  is  a  revolu3on  in  weaponry,  with  the  emergence  of  atomic  and  nuclear  weapons  of  warfare;  then  there  is  a  human  rights  revolu3on,  with  the  freedom  explosion  that  is  taking  place  all  over  the  world.”  

Reverend  Mar3n  Luther  King  Jr.  four  days  before  his  assassina3on,  April  4th  1968  

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1964:  Ad  Hoc  Commivee  on  the  Triple  Revolu3on  

Nobel  laureate  Linus  Pauling;  Nobel  luareate  Gunnar  Myrdal  et  al.  

The  fundamental  problem  posed  by  the  cyberna@on  revolu@on  in  the  U.S.  is  that  it  invalidates  the  general  mechanism  so  far  employed  to  undergird  people’s  rights  as  consumers.  Up  to  this  @me  economic  resources  have  been  distributed  on  the  basis  of  contribu@ons  to  produc@on,  with  machines  and  men  compe@ng  for  employment  on  somewhat  equal  terms.  Cyberna@on  will  result  in  an  economy  where  poten3ally  unlimited  output  can  be  achieved  by  systems  of  machines  which  will  require  lijle  coopera@on  from  human  beings.  

March  1964  report  issued  to  Congress  and  President  Johnson  

The  Commijee  proposes  a  guaranteed  minimum  income  made  possible  by  the  “economy  of  abundance”  and  which  would  take  the  place  of  the  patchwork  of  welfare  measures    

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The  Bureau  of  Labor  Sta3s3cs      PRODUCTIVITY  AND  COSTS  BY  INDUSTRY:  MANUFACTURING  INDUSTRIES    March  2012.      Labor  required  to  produce  a  unit  of  output  -­‐  declined  in  73  percent  of  the  industries.    The  rise  in  produc3vity  in  the  American  economy  is  more  closely  linked  to  cyberna3on  then  when  it  was  first  detailed  in  The  Triple  Revolu3on.  A  larger  propor3on  of  the  unemployment  problem  has  become,  as  predicted,  “structural”  unemployment.      The  ascension  of  robots  may  mean  fewer  jobs  are  created  in  this  country,  even  though  rising  labor  and  transporta3on  costs  in  Asia  and  fears  of  intellectual  property  thec  are  now  bringing  some  work  back  to  the  West.  

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The  wedges  between  produc3vity  and  median  compensa3on  growth  By  Lawrence  Mishel,  April  26,  2012  

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Bowley’s  Law  Arthur  Bowley,  Bri3sh  economist  and  sta3s3cian  

Labor’s  share  of  investment  compared  to  capital  (machinery)  had  remained  constant  over  the  long  term  (Bowley’s  Law)…un3l  now  

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Source:  Federal  Reserve  Economic  Data  (FRED);  hjps://research.stlouisfed.org/fred2/series/PRS85006173   42  

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The  Global  Decline  of  the  Labor  Share    Loukas  Karabarbounis  University  of  Chicago;  Brent  Neiman  University  of  Chicago  

October  2013  

Of  59  countries  with  at  least  15  years  of  data  between  1975  and  2012,  42  exhibited  downward  trends  in  their  labor  shares.    

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Re-­‐engineering  Society  for  a  Post-­‐Employment  World    

The  Basic  Guaranteed  Minimum  Income  

Friedrich  Hayek,  Nobel  laureate  economist  and  poli@cal  philosopher,  in  Law,  Legisla+on  and  Liberty  (1973-­‐79)  

The  Nega3ve  Income  Tax  

Milton  Friedman  et  al  

Re-­‐thinking  meaning  of  produc3ve  ci3zenship  Enabling  consump3on  to  prime  engine  of  economic  cycle  Rewarding  non-­‐tradi3onal  (i.e.  “a  job”)  contribu3ons  to  society  

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46  ©2015  FCB  Partners.  All  rights  reserved.  

FCB  Courses  and  Conferences  Event   Descrip3on  

Process Redesign Hammer  Cer+fica+on  Course  Boston,  MA  September  15-­‐18  

Reengineering Innovation Advanced  Cer+fica+on  Course  Boston,  MA  September  16-­‐18  

Process Owners in Action Advanced  Cer+fica+on  Course  Boston,  September  16-­‐18  

Power of Process Hammer  Cer+fica+on  Course  Boston,  MA  November  16-­‐17  

Leading Transformation Hammer  Cer+fica+on  Course  Boston,  MA  November  18-­‐20  

Measurement Master  Class  Boston,  MA  November  18  

Fast-Cycle Software Best  Prac+ce  Conference,  hosted  by  Na+onwide    Columbus,  OH  September  9-­‐11  

For  more  informa@on  go  to  fcbpartners.com  or  call    Lindsay  Field  617  245  0265  

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47  ©2015  FCB  Partners.  All  rights  reserved.  

For  More  Informa3on  FCB  Partners  

 Lindsay  Field,  Program  Director  

617  245  0265  [email protected]