©  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