©	
  2015	
  IBM	
  Corpora/on	
  
	
  Preparing	
  the	
  next	
  genera-on	
  for	
  the	
  Cogni-ve	
  Era	
  
	
  
	
   	
  	
  	
  2015	
  ASA	
  Research	
  Symposium	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  
	
  	
  	
  	
  	
  	
  	
  #ASA2015	
  	
  
©	
  2015	
  IBM	
  Corpora/on	
  2	
  
Where	
  code	
  goes,	
  
where	
  data	
  flows,	
  
cogni9on	
  will	
  follow.	
  	
  
©	
  2015	
  IBM	
  Corpora/on	
  3	
  
Informa)on	
  of	
  Everything	
  
Internet	
  of	
  Things	
  Pla6orms	
  
Advanced	
  Machine	
  Learning	
  
Autonomous	
  Agents	
  &	
  Things	
  
The	
  Device	
  Mesh	
  
Ambient	
  User	
  Experience	
  
Advanced	
  System	
  Architecture	
  
Mesh	
  App	
  &	
  Service	
  Architecture	
  
Adap)ve	
  Security	
  Architecture	
  
3D	
  Prin)ng	
  Materials	
  
Gartner’s	
  Top	
  10	
  Trends	
  Shaping	
  the	
  future	
  –	
  2016	
  	
  
hFp://www.businesswire.com/news/home/20151006006831/en/Gartner-­‐Iden/fies-­‐Top-­‐10-­‐Strategic-­‐Technology-­‐Trends	
  
©	
  2015	
  IBM	
  Corpora/on	
  4	
  
DATA	
  DRIVEN	
  USE	
  CASES	
  
©	
  2015	
  IBM	
  Corpora/on	
  5	
  
‘Customer	
  Curated	
  Data’	
  PlaTorms	
  
Illustra)on	
  by	
  Lisa	
  Larson-­‐Walker/Slate	
  
©	
  2015	
  IBM	
  Corpora/on	
  6	
  
Extrac/ng	
  value	
  from	
  ‘Data	
  Exhaust’	
  
©	
  2015	
  IBM	
  Corpora/on	
  7	
  
Internet	
  of	
  Things	
  
We	
  can	
  sense	
  &	
  measure	
  anything	
  
	
  
Did	
  I	
  shut	
  my	
  oven	
  off?	
  
	
  	
  	
  
Lock	
  my	
  front	
  door?	
  
	
  
Check	
  on	
  my	
  elderly	
  rela/ve	
  
	
  
Find	
  my	
  lost	
  keys	
  
	
  
Iden/fy	
  equipment	
  about	
  to	
  fail	
  
	
  
Track	
  Assets	
  
	
  
Monitor	
  Pollu/on	
  Levels	
  
	
  
…	
  
	
  
We’re	
  just	
  geLng	
  started	
  
©	
  2015	
  IBM	
  Corpora/on	
  8	
  
Open	
  Data	
  
hFp://bit.ly/trimetandgoogle	
  
	
  
Data	
  on	
  the	
  Web	
  Best	
  Prac/ces	
  Working	
  Group	
  
hFp://www.w3.org/2013/dwbp/wiki/Main_Page	
  
	
  
General	
  Transit	
  Feed	
  Specifica9on	
  Reference	
  
hFps://developers.google.com/transit/gTs/reference	
  
	
  
©	
  2015	
  IBM	
  Corpora/on	
  9	
  
Ever	
  been	
  taken	
  for	
  ‘a	
  ride’	
  in	
  a	
  taxi?	
  	
  	
  	
  
I	
  challenged	
  the	
  first	
  night’s	
  fare	
  	
  
Uber	
  refunded	
  the	
  difference	
  
Monday	
  Night	
   Tuesday	
  Night	
  
©	
  2015	
  IBM	
  Corpora/on	
  10	
  
DATA	
  LITERACY	
  
©	
  2015	
  IBM	
  Corpora/on	
  11	
  
In	
  the	
  Cogni/ve	
  Era	
  everyone	
  must	
  be	
  data	
  literate	
  
Define problems
Wrangle Data
Self-Manage Data
Choose Methods and Tools
Analyze Data
Communicate findings
Engage in Lifelong Learning
©	
  2015	
  IBM	
  Corpora/on	
  12	
  
!  Ci/zen	
  Analysts	
  
!  Data	
  Scien/sts	
  
!  Data	
  Engineers	
  
!  Chief	
  Data	
  Officers	
  
!  Data	
  Policy	
  Roles	
  
!  Big	
  Data	
  Architects	
  
Emerging	
  &	
  evolving	
  Big	
  Data	
  job	
  roles	
  
©	
  2015	
  IBM	
  Corpora/on	
  13	
  
What	
  is	
  a	
  data	
  scien/st?	
  
hFp://hbr.org/2012/10/data-­‐scien/st-­‐the-­‐sexiest-­‐job-­‐of-­‐the-­‐21st-­‐century	
  
	
  
Data	
  Science	
  skills	
  
demand	
  on	
  fire!!!	
  
©	
  2015	
  IBM	
  Corpora/on	
  14	
  
Today’s	
  reality	
  
It’s	
  early	
  days	
  
anyone	
  who	
  wants	
  to	
  call	
  themselves	
  a	
  data	
  scien9st	
  
can	
  and	
  does	
  
No	
  consensus!	
  
•  Is	
  someone	
  who	
  applies	
  ‘data	
  science’	
  skill	
  a	
  data	
  scien)st?	
  
•  Is	
  a	
  business	
  analyst	
  a	
  data	
  scien)st?	
  
•  Or	
  is	
  a	
  data	
  scien)st	
  something	
  more?	
  	
  
•  Perhaps	
  ‘team’	
  approaches	
  are	
  required?	
  
What	
  is	
  a	
  data	
  scien/st?	
  
©	
  2015	
  IBM	
  Corpora/on	
  15	
  
The	
  Data	
  Engineer	
  
hFps://www.linkedin.com/job/data-­‐engineer-­‐jobs	
  
	
  
	
  
Explosive	
  growth	
  for	
  this	
  new	
  role,	
  BUT	
  
	
  
Few	
  academic	
  programs	
  exist	
  
	
  
Tripled	
  in	
  the	
  past	
  year!!	
  
©	
  2015	
  IBM	
  Corpora/on	
  16	
  
The	
  Chief	
  Data	
  Officer	
  
hFp://bit.ly/ibmcdostudy	
  
	
  
Chief	
  Data	
  Officers	
  understand	
  
how	
  to	
  use	
  data	
  to	
  create	
  strategic	
  
opportuni/es;	
  responsible	
  for	
  
organiza/onal	
  data	
  strategy	
  &	
  
governance	
  
©	
  2015	
  IBM	
  Corpora/on	
  17	
  
@brandsteve	
  
17	
  
hFp://bit.ly/dataskillsgap	
  
	
  

Preparing the next generation for the cognitive era

  • 1.
    ©  2015  IBM  Corpora/on    Preparing  the  next  genera-on  for  the  Cogni-ve  Era            2015  ASA  Research  Symposium                                  #ASA2015    
  • 2.
    ©  2015  IBM  Corpora/on  2   Where  code  goes,   where  data  flows,   cogni9on  will  follow.    
  • 3.
    ©  2015  IBM  Corpora/on  3   Informa)on  of  Everything   Internet  of  Things  Pla6orms   Advanced  Machine  Learning   Autonomous  Agents  &  Things   The  Device  Mesh   Ambient  User  Experience   Advanced  System  Architecture   Mesh  App  &  Service  Architecture   Adap)ve  Security  Architecture   3D  Prin)ng  Materials   Gartner’s  Top  10  Trends  Shaping  the  future  –  2016     hFp://www.businesswire.com/news/home/20151006006831/en/Gartner-­‐Iden/fies-­‐Top-­‐10-­‐Strategic-­‐Technology-­‐Trends  
  • 4.
    ©  2015  IBM  Corpora/on  4   DATA  DRIVEN  USE  CASES  
  • 5.
    ©  2015  IBM  Corpora/on  5   ‘Customer  Curated  Data’  PlaTorms   Illustra)on  by  Lisa  Larson-­‐Walker/Slate  
  • 6.
    ©  2015  IBM  Corpora/on  6   Extrac/ng  value  from  ‘Data  Exhaust’  
  • 7.
    ©  2015  IBM  Corpora/on  7   Internet  of  Things   We  can  sense  &  measure  anything     Did  I  shut  my  oven  off?         Lock  my  front  door?     Check  on  my  elderly  rela/ve     Find  my  lost  keys     Iden/fy  equipment  about  to  fail     Track  Assets     Monitor  Pollu/on  Levels     …     We’re  just  geLng  started  
  • 8.
    ©  2015  IBM  Corpora/on  8   Open  Data   hFp://bit.ly/trimetandgoogle     Data  on  the  Web  Best  Prac/ces  Working  Group   hFp://www.w3.org/2013/dwbp/wiki/Main_Page     General  Transit  Feed  Specifica9on  Reference   hFps://developers.google.com/transit/gTs/reference    
  • 9.
    ©  2015  IBM  Corpora/on  9   Ever  been  taken  for  ‘a  ride’  in  a  taxi?         I  challenged  the  first  night’s  fare     Uber  refunded  the  difference   Monday  Night   Tuesday  Night  
  • 10.
    ©  2015  IBM  Corpora/on  10   DATA  LITERACY  
  • 11.
    ©  2015  IBM  Corpora/on  11   In  the  Cogni/ve  Era  everyone  must  be  data  literate   Define problems Wrangle Data Self-Manage Data Choose Methods and Tools Analyze Data Communicate findings Engage in Lifelong Learning
  • 12.
    ©  2015  IBM  Corpora/on  12   !  Ci/zen  Analysts   !  Data  Scien/sts   !  Data  Engineers   !  Chief  Data  Officers   !  Data  Policy  Roles   !  Big  Data  Architects   Emerging  &  evolving  Big  Data  job  roles  
  • 13.
    ©  2015  IBM  Corpora/on  13   What  is  a  data  scien/st?   hFp://hbr.org/2012/10/data-­‐scien/st-­‐the-­‐sexiest-­‐job-­‐of-­‐the-­‐21st-­‐century     Data  Science  skills   demand  on  fire!!!  
  • 14.
    ©  2015  IBM  Corpora/on  14   Today’s  reality   It’s  early  days   anyone  who  wants  to  call  themselves  a  data  scien9st   can  and  does   No  consensus!   •  Is  someone  who  applies  ‘data  science’  skill  a  data  scien)st?   •  Is  a  business  analyst  a  data  scien)st?   •  Or  is  a  data  scien)st  something  more?     •  Perhaps  ‘team’  approaches  are  required?   What  is  a  data  scien/st?  
  • 15.
    ©  2015  IBM  Corpora/on  15   The  Data  Engineer   hFps://www.linkedin.com/job/data-­‐engineer-­‐jobs       Explosive  growth  for  this  new  role,  BUT     Few  academic  programs  exist     Tripled  in  the  past  year!!  
  • 16.
    ©  2015  IBM  Corpora/on  16   The  Chief  Data  Officer   hFp://bit.ly/ibmcdostudy     Chief  Data  Officers  understand   how  to  use  data  to  create  strategic   opportuni/es;  responsible  for   organiza/onal  data  strategy  &   governance  
  • 17.
    ©  2015  IBM  Corpora/on  17   @brandsteve   17   hFp://bit.ly/dataskillsgap