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Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Dave	
  Birch	
  
CTO	
  -­‐	
  ZappiStore	
  
	
  
18	
  August	
  2016	
  
ArNficial	
  Intelligence	
  in	
  MR:	
  
Expert	
  Systems	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Agenda	
  
●  Defining	
  tomorrow’s	
  age	
  of	
  automaBon	
  &	
  expert	
  systems	
  
●  Where	
  value	
  is	
  derived	
  from	
  market	
  research	
  
●  Where	
  can	
  efficiencies	
  be	
  gained	
  
●  Opportunity	
  for	
  iteraBve	
  research	
  &	
  expert	
  systems	
  
●  How	
  far	
  can	
  you	
  go	
  with	
  automated	
  research?	
  
●  What	
  is	
  the	
  role	
  of	
  the	
  researcher?	
  
●  Future	
  of	
  truly	
  data-­‐driven	
  decision	
  making	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
“Any	
  fool	
  can	
  know.	
  The	
  
point	
  is	
  to	
  understand.”	
  	
  
―	
  Albert	
  Einstein	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Defining	
  AutomaNon	
  &	
  Expert	
  Systems	
  
AutomaBon	
  is	
  the	
  use	
  of	
  computers	
  to	
  control	
  a	
  
system	
  with	
  minimal	
  human	
  input.	
  
	
  
In	
  arNficial	
  intelligence,	
  an	
  expert	
  system	
  is	
  a	
  
computer	
  system	
  that	
  emulates	
  the	
  decision-­‐
making	
  ability	
  of	
  a	
  human	
  expert.	
  Expert	
  systems	
  
are	
  designed	
  to	
  solve	
  complex	
  problems	
  by	
  
reasoning	
  about	
  knowledge,	
  represented	
  as	
  if–then	
  
rules	
  rather	
  than	
  through	
  convenBonal	
  code.	
  
	
  
Machine	
  learning	
  will	
  induce	
  the	
  knowledge	
  from	
  
the	
  experiences	
  of	
  if-­‐then	
  rules	
  into	
  the	
  system	
  by	
  
creaBng	
  staBsBcal	
  probabiliBes	
  with	
  a	
  defined	
  
outcome.	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Where	
  Does	
  AutomaNon	
  
&	
  Expert	
  Systems	
  Impact	
  
Market	
  Research?	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Changing	
  the	
  Game:	
  Time	
  and	
  $	
  Erosion	
  
from	
  Manual	
  Processes	
  
Time	
  (weeks)	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
New	
  Game	
  Book:	
  Robust	
  Research	
  
Design	
  Powered	
  by	
  AutomaNon	
  
Time	
  (hours)	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
What	
  Can	
  be	
  Automated?	
  	
  
TabulaBon	
   Data	
  CollecBon	
   Survey	
  
ScripBng	
  
VisualisaBon	
   Sample	
  
Recruitment	
  
StaBsBcal	
  
Analysis	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
AutomaNon	
  Unlocks	
  IteraNve	
  Research	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Deepmind	
   NHS	
  111	
  Service	
   Online	
  Credit	
  Report	
  	
  
Expert	
  Systems	
  Impact	
  All	
  Professions	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Expert	
  Systems	
  in	
  Market	
  Research	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
How	
  Far	
  Can	
  You	
  
Model	
  ExperNse?	
  
What’s	
  Le_	
  for	
  
Human	
  Researchers?	
  
The	
  future	
  of	
  the	
  insights	
  profession	
  is	
  heading	
  towards	
  three	
  disBnct	
  pathways:	
  
consulNng,	
  R&D	
  and	
  data	
  science.	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Thank	
  You!	
  
	
  
	
  
www.zappistore.com	
  
contact@zappistore.com	
  
Experts	
  vs	
  Machines:	
  Modelling	
  expert	
  thinking	
  key	
  to	
  AI	
  in	
  MRX	
  –	
  NewMR	
  Webinar	
  
Christophe	
  Ovaere	
  &	
  Dave	
  Birch,	
  ZappiStore,	
  2016	
  
Q	
  &	
  A	
  
Ray	
  Poynter	
  
The	
  Future	
  Place	
  
Dave	
  Birch	
  
ZappiStore	
  

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Dave Birch AAA 2016

  • 1. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Dave  Birch   CTO  -­‐  ZappiStore     18  August  2016   ArNficial  Intelligence  in  MR:   Expert  Systems  
  • 2. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Agenda   ●  Defining  tomorrow’s  age  of  automaBon  &  expert  systems   ●  Where  value  is  derived  from  market  research   ●  Where  can  efficiencies  be  gained   ●  Opportunity  for  iteraBve  research  &  expert  systems   ●  How  far  can  you  go  with  automated  research?   ●  What  is  the  role  of  the  researcher?   ●  Future  of  truly  data-­‐driven  decision  making  
  • 3. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   “Any  fool  can  know.  The   point  is  to  understand.”     ―  Albert  Einstein  
  • 4. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Defining  AutomaNon  &  Expert  Systems   AutomaBon  is  the  use  of  computers  to  control  a   system  with  minimal  human  input.     In  arNficial  intelligence,  an  expert  system  is  a   computer  system  that  emulates  the  decision-­‐ making  ability  of  a  human  expert.  Expert  systems   are  designed  to  solve  complex  problems  by   reasoning  about  knowledge,  represented  as  if–then   rules  rather  than  through  convenBonal  code.     Machine  learning  will  induce  the  knowledge  from   the  experiences  of  if-­‐then  rules  into  the  system  by   creaBng  staBsBcal  probabiliBes  with  a  defined   outcome.  
  • 5. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Where  Does  AutomaNon   &  Expert  Systems  Impact   Market  Research?  
  • 6. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Changing  the  Game:  Time  and  $  Erosion   from  Manual  Processes   Time  (weeks)  
  • 7. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   New  Game  Book:  Robust  Research   Design  Powered  by  AutomaNon   Time  (hours)  
  • 8. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   What  Can  be  Automated?     TabulaBon   Data  CollecBon   Survey   ScripBng   VisualisaBon   Sample   Recruitment   StaBsBcal   Analysis  
  • 9. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   AutomaNon  Unlocks  IteraNve  Research  
  • 10. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Deepmind   NHS  111  Service   Online  Credit  Report     Expert  Systems  Impact  All  Professions  
  • 11. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Expert  Systems  in  Market  Research  
  • 12. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   How  Far  Can  You   Model  ExperNse?   What’s  Le_  for   Human  Researchers?   The  future  of  the  insights  profession  is  heading  towards  three  disBnct  pathways:   consulNng,  R&D  and  data  science.  
  • 13. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Thank  You!       www.zappistore.com   contact@zappistore.com  
  • 14. Experts  vs  Machines:  Modelling  expert  thinking  key  to  AI  in  MRX  –  NewMR  Webinar   Christophe  Ovaere  &  Dave  Birch,  ZappiStore,  2016   Q  &  A   Ray  Poynter   The  Future  Place   Dave  Birch   ZappiStore