Getting Started with Cognitive Analytics Now · Cognitive computing refers to systems that learn at...

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© 2014 IBM Corporation1

Getting Started with Cognitive

Analytics Now

Chris Amsellem

Talent Analytics Technical Lead

IBM Kenexa

© 2014 IBM Corporation2

© 2014 IBM Corporation3

© 2014 IBM Corporation4

Cognitive computing refers to systems that learn at

scale, reason with purpose and interact with

humans naturally. Rather than being explicitly

programmed, they learn and reason from their

interactions with us and from their experiences with

their environment.

Dr. John E. Kelly III, Senior Vice President, IBM Research and Solutions Portfolio, “Computing,

cognition and the future of knowing”

© 2014 IBM Corporation5

“We need to utilize cognitive computing and

free human beings to engage in the tasks

only human beings can perform.”

Takio Sudo, CHRO, Pasona Group, Japan

© 2014 IBM Corporation6

BIG-i• Facial recognition

• Security

• Calls

• Internet

• Learns behavior

• Affordable

“If you see Tommy,

cutting fruit, remind him

to wash his hands.”

Consumer Example

© 2014 IBM Corporation7

Who is Chris?

• 17 years consulting in HR & Learning

• M.Ed – Instructional Technology

• Software Implementation, Video production,

Programming, Backend systems, UI design

• … I like technology

© 2014 IBM Corporation8

What is Talent Insights?o Machine Learning

o Exploration and Visualization

o Sharing

© 2014 IBM Corporation9

?? – petals

stem

stamen

pistil

leaves

anther

filament

Machine Learning - Visually

Machine Learning

Open-Source examples:• MLLib

• Mahout

• DeepLearning

© 2014 IBM Corporation11

Statistical analysis software

o Enables you to objectively ascertain

o The relationships between variables

o Differences between groups

o Can test findings for statistical

significance

o Can create testable predictive models

© 2014 IBM Corporation12

Visualization

oPowerful ways to

display your data

oCreate simple

dashboard for

presentations

oGenerally

standalone low

cost of entrance

(Excel and online)

Ex.

oDataWrapper

oRaw

oZeppelin

© 2014 IBM Corporation13

DataWrapper

© 2014 IBM Corporation14

Raw

© 2014 IBM Corporation15

Apache Zeppelin

© 2014 IBM Corporation16

Sharing Tools

o Huge step forward from

static reporting

o Enables uses quick

access to current

organisational information

o Graphical, easy to

interpret

o Saves time an energy on

producing static reports

o Handles complex data

© 2014 IBM Corporation17

• Built for HR - the system has been built to understand language of HR

• Simplicity – Powerful but designed for non-technical users

• Speed – what has historically taken IT weeks to do, can now be done in

in minutes or hours

• Open HR – gain insight from any data source across the business

• Guided NLP – automatically highlights hidden data patterns

• IBM R&D – leverages $B’s of investment in IBM Watson and analytics

IBM changes the game by applying Cognitive

computing to HR – Talent Insights

© 2014 IBM Corporation18

Demonstration

© 2014 IBM Corporation19

Refine and Join

© 2014 IBM Corporation20

• Built for HR - the system has been built to understand language of HR

• Simplicity – Powerful but designed for non-technical users

• Speed – what has historically taken IT weeks to do, can now be done in

in minutes or hours

• Open HR – gain insight from any data source across the business

• Guided NLP – automatically highlights hidden data patterns

• IBM R&D – leverages $B’s of investment in IBM Watson and analytics

IBM changes the game by applying Cognitive

computing to HR – Talent Insights

© 2014 IBM Corporation21

Capturing HR Metrics

Performance ratings

Engagement Scores

Hire Source

Patterns in HR Metrics

Insight on the trends and relationships between different HR metrics

Business Outcomes

Directly relate and predict business outcomes from HR investments

HR is on a journey with Workforce Analytics

It’s not an IF, it’s when…How many people did we

hire last month?

What is the link between

hire source and tenure?

What HR investments will

have the largest impact

on same store sales?

© 2014 IBM Corporation22

Links up multiple

data sources to get

holistic insights

Predicts future

trends in the

workforce

Use prediction,

test models,

look at

alternatives

Uses predictive modeling

and machine learning to look

ahead and see hidden

relationships

Cognitive

Predictive

Descriptive

Prescriptive

Integrated

Describes the local

landscape

analytically, looking

for trends

Driving Business Performance

Through People Analytics

© 2014 IBM Corporation23

Analytics pays back $13.01 for

every Dollar spent

“more likely to improve their

recruiting efforts2x

2x

3x

2.5x

more likely to improve

their leadership pipelines

more likely to realize cost

reductions / efficiency gains

more likely to improve talent

mobility - the right people, right jobs

Bersin by DeloitteNucleus Research

Mature People Analytics

organizations are…

Analytics: the business case

© 2014 IBM Corporation24

• Disruptions change industry

• Completely new business models

• Fail to adapt, fail to live

• New jobs and skills will emerge

• Competitive edge

© 2014 IBM Corporation25

Flexible

What you need to do it: Become flexible, analytical, social

CHROs will need to focus on building three key capabilities as they

are enabling their organizations to address the future:

Analytical

Social

© 2014 IBM Corporation26

thankyou

© 2014 IBM Corporation27

Questions?

© 2014 IBM Corporation30

Workforce productivity

Performance management and evaluation

Employee engagement and commitment

Sourcing and recruiting

Talent retention

2013 2015

Use of predictive analytics to address workforce issues

19%16%

8% 15%

9% 14%

7% 14%

13%13%

The number of CHROs who use

predictive analytics to make more

informed decisions is rising.

52% growth on average

18%

55%

14%

0%

87%

© 2014 IBM Corporation31

“Year over year there has been major

improvement in People Analytics.

The percentage of companies who

believe they are “excellent” doubled

from 4% to 8%, and the percentage

who are now using analytics to

predict business outcomes is 34%!”

Josh Bersin

Global Human Capital Trends 2015

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