Getting Started with Cognitive Analytics Now · Cognitive computing refers to systems that learn at scale, reason with purpose and interact with humans naturally. Rather than being

© 2014 IBM Corporation1

Getting Started with Cognitive

Analytics Now

Chris Amsellem

Talent Analytics Technical Lead

IBM Kenexa




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”


“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


BIG-i• Facial recognition

• Security

• Calls

• Internet

• Learns behavior

• Affordable

“If you see Tommy,

cutting fruit, remind him

to wash his hands.”

Consumer Example


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


What is Talent Insights?o Machine Learning

o Exploration and Visualization

o Sharing


?? – petals

stem

stamen

pistil

leaves

anther

filament

Machine Learning - Visually

Machine Learning

Open-Source examples:• MLLib

• Mahout

• DeepLearning


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


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


DataWrapper


Raw


Apache Zeppelin


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


• 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


Demonstration


Refine and Join


• 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


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?


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


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


• Disruptions change industry

• Completely new business models

• Fail to adapt, fail to live

• New jobs and skills will emerge

• Competitive edge


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


thankyou


Questions?


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%


“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

Documents

Getting Started with Cognitive Analytics Now · Cognitive computing refers to systems that learn at scale, reason with purpose and interact with humans naturally. Rather than being