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November 2016
Embracing data for a competitive edge
Chris Gage, Digital Lead IP, IBM
…we work in an industry in which I
repeatedly say is about small
margins. If we can find a way of
giving us that half or 1%
opportunity to be better prepared,
then we’ll try to do it.
Nigel Pearson, Former Leicester
City Manager
Marginal gains
80%
20%
20%
80%
Effort Results
Strong
Competition
Weak
Competition
5
1 Wearable
Technology
6
London in February
7
We depend on data, it is
fundamental to athlete and coach
development. The data we use
ranges from video to quite complex
measurements.
Dr Scott Drawer, Athletic Performance
Manager at England Rugby
Data driven performance
9
GPS
Accelerometer
Bio-sensing:
- Heart-rate
- Body temperature
Environment
- Temperature
- Light
- Noise
- Oxygen deficiency
- Carbon monoxide
Health & safety in construction
14
2 F1
Connected industrial machinery
IoT Platform
Remote
Performance
Monitoring
Cognitive
Diagnostic
Work
Order Creation
Maintenance
Scheduling
Cognitive Assisted
Repair
Weather
Forecasting
Predictive
Analytics Continuous
Engineering
Fleet / Operator
Productivity
EQUIPMENT SENSOR MOBILE INSPECTIONS FLEET MGMT SYSTEMS ERP/EAM SYSTEMSTECHNICIAN DATA FLUID ANALYSIS
IMPROVED
SAFETY
RELIABLE
AVAILABILITY
REDUCED
MAINTENANCE
COSTS
INCREASED
PRODUCTIVITY
Smart buildings
Light
Utilitie
s
Air quality
Noise
Hot desks
Power
consumption
HVAC
Meeting rooms
Temperature
Smart meters
Aggregate and
store data
Energy
Optimisation
Staff
Productivity
Asset
Strategy
Predictive
Maintenance
17
3 Wimbledon
“First-mover advantage makes a
significant difference in social media.
you need to keep your eye on the hot
topics of conversation on each network
at all times - and as the level of social
media activity continues to increase,
this is becoming almost impossible to
achieve manually.”
Alexandra Willis, Head of Communications,
Content and Digital, AELTC
Digital engagement
20
21
22
23
Analysing unstructured data to improve performance
How it works
CxO Dashboard Progress Curve
Project Reference Cumulative Distribution
Outputs
 Contracts
 Cost data
 Schedules & project plans
 Procurement info
 Project communications
 Monthly PM reports
 Material transport
 External e.g. weather
 Safety
 Regulation
I believe that the power of the pure
technical people will diminish…Because
they will be surrounded by teams who
analyse absolutely everything. They will
be surrounded by more machines who
will make decisions for them.
Arsene Wenger
What does the next 20 years hold?
Chris Gage - IBM

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Chris Gage - IBM

  • 1. November 2016 Embracing data for a competitive edge Chris Gage, Digital Lead IP, IBM
  • 2.
  • 3. …we work in an industry in which I repeatedly say is about small margins. If we can find a way of giving us that half or 1% opportunity to be better prepared, then we’ll try to do it. Nigel Pearson, Former Leicester City Manager Marginal gains
  • 7. 7
  • 8. We depend on data, it is fundamental to athlete and coach development. The data we use ranges from video to quite complex measurements. Dr Scott Drawer, Athletic Performance Manager at England Rugby Data driven performance
  • 9. 9 GPS Accelerometer Bio-sensing: - Heart-rate - Body temperature Environment - Temperature - Light - Noise - Oxygen deficiency - Carbon monoxide Health & safety in construction
  • 11. Connected industrial machinery IoT Platform Remote Performance Monitoring Cognitive Diagnostic Work Order Creation Maintenance Scheduling Cognitive Assisted Repair Weather Forecasting Predictive Analytics Continuous Engineering Fleet / Operator Productivity EQUIPMENT SENSOR MOBILE INSPECTIONS FLEET MGMT SYSTEMS ERP/EAM SYSTEMSTECHNICIAN DATA FLUID ANALYSIS IMPROVED SAFETY RELIABLE AVAILABILITY REDUCED MAINTENANCE COSTS INCREASED PRODUCTIVITY
  • 12. Smart buildings Light Utilitie s Air quality Noise Hot desks Power consumption HVAC Meeting rooms Temperature Smart meters Aggregate and store data Energy Optimisation Staff Productivity Asset Strategy Predictive Maintenance
  • 14. “First-mover advantage makes a significant difference in social media. you need to keep your eye on the hot topics of conversation on each network at all times - and as the level of social media activity continues to increase, this is becoming almost impossible to achieve manually.” Alexandra Willis, Head of Communications, Content and Digital, AELTC Digital engagement
  • 15.
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  • 20. Analysing unstructured data to improve performance How it works CxO Dashboard Progress Curve Project Reference Cumulative Distribution Outputs  Contracts  Cost data  Schedules & project plans  Procurement info  Project communications  Monthly PM reports  Material transport  External e.g. weather  Safety  Regulation
  • 21. I believe that the power of the pure technical people will diminish…Because they will be surrounded by teams who analyse absolutely everything. They will be surrounded by more machines who will make decisions for them. Arsene Wenger What does the next 20 years hold?

Hinweis der Redaktion

  1. stormed to an unlikely premier league title Part of story data analytics Nigel Pearson in charge when infrastructure 
  2. How many times have you had Pareto’s 80/20 rule quoted to you?
  3. Summary – data is key to last 20%
  4. Rise of smartphone New years resolution
  5. Most sophisticated sport Since 80s 90s control suspension/traction
  6. busy year in sport – 3 intl cricket, 2 F1, tour d france, euro 2016 Mens final / brit grand prix / euro16 final Expected 10-20% decline digital audience However AELT saw opp
  7. 1st mover on emerging topics Engagement performance Overall performance Watson 300m words per sec, Understand, Reason, Learn
  8. Understand intent e.g. EU / Brexit /Wimbledon england out of euro on day1 – -ve to +ve
  9. Exploit celeb culture When topic emerges – amplify, pull in fans of celeb Serena Williams approached Steffi Graff’s record, People want to witness history in the making
  10. Identify influencers in order to amplify effectively
  11. Social to one side, talking about working with unstructured data 90% Construction awash 6 weeks waiting for Pcon
  12. Arms race of competition on data will result lead to ubiquity of AI Optimists Good or bad will be v diff in 20 yrs
  13. 26