The  Robots  Are  Coming,  Let’s  Reimagine  the  Humans  

The  end  of  work?  

Automa<on  means  less  work…  

…  but  not  less  jobs  50%  increase  in  total  number  of  employed  people    Wage  rise  2.23%  faster  than  infla<on  

Automa<on  =  higher  produc<vity…  

…flaMening  out  around  the  end  of  ‘00s  

Source:  Wells  Fargo  

The  big  slowdown:  Not  enough  automa<on?  

Source:  Boston  Consul<ng  Group  

Manufacturing  costs  are  on  the  rise…  

The  Solow  Paradox  

You  can  see  the  computer  age  everywhere  but  in  the  produc<vity  sta<s<cs.  

We  need  more  automa<on!  

The  4th  Industrial  Revolu<on:    Automa<ng  the  intellect  

Ar<ficial  Intelligence:  key  disrup<on  areas  

Natural  language  conversa<ons  

Machine  Learning  

The  automa<on  of  cogni<on  

Source:  The  Future  of  Employment,  by  C.  Frey  and  M.  Osborne      

47%  of  jobs  will  be  lost  to  cogni<ve  

machines  in  the  next  10  years?  

Jobs  versus  ac<vi<es  

Source:  McKinsey  Interim  report  on  automa<on  of  jobs,  Nov.  2015  

45%    of  job  ac<vi<es    can    

be  automated  +AI  =   58%    

of  job  ac<vi<es    can    be  automated  

60%    of  jobs  can  have    

 

30%    of  their    

ac<vi<es  automated  

Hello  Jane,  you  look  great  today!  How  can  I  help  you?  

A  new  cyberne<c  rela<onship  

Second-­‐order  cyberne<cs  in  the  era  of  machine  intelligence  

 Humans  and  machines  working  together:  machines  managing  complexity,  humans  providing  crea<vity  

From  knowing  what  you  do  not  know  and  searching  for  it    

…to  …    

…not  knowing  what  you  do  not  know  and  having  “someone”  to  help  you  discover  it    

Possible  impacts  of  4th  Industrial  Revolu<on  

•  Government  role  enhanced  through  Universal  Income  •  Collabora<ve  Economy  creates  universal  currency  •  Full-­‐<me  employees  become  Free  Agents  (“CEO  of  Me”)    •  Corpora<ons  evolve  into  Value  People  Networks    •  Zero  Latency  Enterprise  evolves  into  the  Responsive  

Organisa<on  

The  collabora<ve  economy  

Collabora<ve  virtual  communi<es  crea<ng  value  through  exchange  and  sharing  of  products  and  

services  

Cyber-­‐physical    Systems  &  Industry  4.0  

From  hierarchies  to  networks  

CPS-­‐based  automa/on  Field  level  

Control  (PLC)  Level  

Process  Control  Level  

Plant  management  Level  

ERP  Level  

Automa/on  hierarchy  

Zero  Latency  Enterprise  

Company  Organisa<on  

Enterprise  Systems  

Enterprise  Applica<ons  

Enterprise  App  Integra<on  

Data  Store  

   

           

   

           

       

   

   

       

In  a  real  (me,  zero  latency  enterprise,  informa(on  is  delivered  to  the  right  place  at  the  right  (me  for  maximum  business  value.*  

*Defini<on  of  ZLE  by  Gartner  

The  Responsive  Organisa<on  An  agile,  client-­‐facing,  innova(ve  organiza(on  that  con(nuously  learns  and  op(mizes  talent  and  technologies  in  order  to  deliver  superior  products  and  services.  

Machine  Intelligence  Applica<ons  

People  Networks  

Business  Systems  

Learning  &  Conversa<ons  

Business  Applica<ons  

Business  App  Integra<on  

Virtual  Data  Store  

People  Networks:  reinven<ng  business  organisa<on  

•  Self-­‐organised  ad  hoc  teams  •  Build-­‐in  discovery  from  design  to  customer  service  •  Scaling  Agile  •  Cross-­‐market  &  Cross-­‐exper<se  •  Collabora<on  plaqorms  •  AI  enabled  UI/UX  •  Predic<ve  analy<cs  

Getng  there:  “lead  the  work”  model  

Leaders  transforming  work  in  their  organisa<on  

Source:  “Lead  the  Work”  by  R.  Jesuthasan,  J.  Bourdeau,  D.  Creelman  

Assignment  

Organisa<on  

Rewards  

•  Self-­‐contained  •  Unlinked  •  Exclusive  •  Stable  

•  Deconstructed  Tasks  •  Dispersed  •  Project-­‐bound  

•  Constructed  Jobs  •  Anchored  •  Employment-­‐Bound  

•  Long-­‐Term  •  Collec<ve  and  

consistent  •  Tradi<onal  

•  Permeable  •  Interlinked  •  Collabora<ve  •  Flexible  

•  Short-­‐term  •  Individualised  and  

Differen<ated  •  Imagina<ve  

AI  enabled  

Getng  there:  Scaling  Agile  organisa<on  

Apply  agile  prac<ce  across  the  organisa<on  

hMp://crowdmics.com/  hMp://crowdmics.com/  

INNOVATE

DELIVER

VALIDATE

UNDERSTAND

Getng  there:  digital  engagement  

Apply  Next  Genera<on  Integrated  Digital  

Engagement  Model  (IDEM)    for    the  digital  

transforma<on    of  work  

Behavioural  Modelling  

Human-­‐machine  

conversa<ons  AI  Interface  

Data  

Worker  experience  

Human-­‐machine  collabora<on  

Getng  there:  machine  intelligence  for  EX  

Build  the  machine  intelligence  layer  of  the  responsive  organisa<on  

Thank  you  

George  Zarkadakis,  PhD,  CEng  @zarkadakis