Paul Baldassari is the Chief Human Resources Officer for technology manufacturer, Flex. His HR Tech Online presentation focused a series of different technological tools his company uses, including Artificial Intelligence.

1. Artificial Intelligence and Machine Learning:
How Technology is Revolutionizing HR Practices at Flex
Paul Baldassari
Chief Human Resources Officer

2. 1
Flex ● Intelligent Products for a Connected World
200,000 Employees in
100 sites and 30 countries
driving $24B revenue
Highly Diverse Workforce
with 500+ job profiles across
50 different job categories
Sketch To Scale™
solutions developed by
3,000 Design Engineers
Operating at Massive Scale:
50M sq. ft. of manufacturing
and services space
Managing Complex Supply Chains
in real-time: 10K employees
managing 15K suppliers and
1M active components
Collaborative Innovations:
Re-inventing Construction Industry
Transformational Nike Partnership
Unparalleled Insight into
1,000 customers across
12 different Industries

3. 2
Renaissance ● The World of Work Has Changed
Technology-Enabled
Productivity
Millennial
Influence
Talent Agility
and Mobility
Collaborative
Workplaces
Limitless and
Dynamic Careers
Meaning
Through Work
Employers as
DevelopersUberization of
Workforce
Fast and
Flexible Teams

4. Increase productivity with new technology
Enable new market opportunities using Flex data
Create new insights that improve our system
3
Flex ● Digital Transformation
Accelerate a purpose-driven digital transformation of Flex in a
technology-driven world and re-think how we work and create value
Leverage Automation and Digitalization to …

5. 4
Digital Workplace ● Future Environment
Technology Enablers
Robotic Process
Automation
Advanced Analytics
and Artificial
Intelligence
Augmented /
Virtual Reality
Blockchain
Collaboration
Analytic
Visualization
Flex
Collaboration
Platform
Mobile
Accessibility
Workplace
Agile Leadership
Talent and Skills Upgrade
High Performance Teams
Social Awareness
Workplace Experience

6. 5
Digital Workplace ● Technological Complexity
RPA
Complex administrative
HR processes
Artificial
Intelligence
Recruiting applications and
recommendation engines
Machine
Learning
Dynamic predictions for
a diversified workforce
Simple
Automation
Macros

7. 6
Flex ● Enabling Solutions Through an Intelligence Layer
IntelligenceLayer
Data ► Analytics ► Transparency ► Decisions ► Execution ► Agility
Mobility

8. 7
Flex ● Innovative Projects Transforming HR
Worldwide Operations: Resources
required and in what timeframe
Supply Chain:
Efficiency of
procurement staff
Knowledge Workers
and Managers:
Risks of leaving

9. 8
Flex ● Prediction of Workforce Demand
Business Opportunity:
Understand how site headcount correlates with goals and business drivers. Develop
models to forecast headcount across Flex with sufficient accuracy and dynamic range
Results:
● Range of relevant business
drivers identified
● Model Mean Absolute
Percent Error of 7.5%
● Used for monthly planning
and financial analysis
● Implemented for 130K
employees in 50 locations

10. 9
Flex ● Prediction of Attrition
Business Opportunity:
Understand who from the knowledge worker and manager population will leave within
a defined time interval leveraging employee survey and headcount data analytics
Results:
● Identified 100 individuals
out of a pool of over 1,000
with a high risk of leaving
● Attrition of research project
group is 15%
● Significantly higher than
internal peer group
Probability
of Attrition
Active
Status
Employee
ID
Name Tenure
63.9% Active 1001 John Doe 4.80
61.7% Active 1002 Jilly Jane 21.92
60.6% Active 4321 Daffy Duck 0.74
59.0% Active 1234 Mickey Mouse 0.10
57.5% Active 6666 Sylvester Stallone 0.00
48.3% Active 1006 James Bond 0.75
44.6% Active 1934 Harry Potter 1.59
44.0% Active 9999 Jack Sparrow 0.77
Highest Risk High Risk Anonymous names and IDs

11. 10
Flex ● Procurement Efficiency
Combine information about
workload and performance to
identify the best buyers
Identify Top Performers
Identify optimal balance
between workload and
performance
Optimize Performance
Ideal work load zone
Low work load zone Moderate work load zone
High work load zone
Analyze responses to critical
on-the-job scenarios to
develop a virtual coach and
recommendation engine
Deploy Virtual Coach
Buyer
Virtual Coach
+ =

12. 11
Flex ● Looking Forward
Build a powerful intelligence layer taking advantage of data to
make the entire system more efficient and valuable
Ensure secure and controlled access to data in real-time to stay
relevant in this Age of Intelligence
Support and develop talent during digitalization transformation
delivering both technical and social skillsets
Foster localized innovation and share knowledge insights
across all users worldwide

13. Creating a smarter, more connected world
Thank You
Paul Baldassari
Chief Human Resources Officer
paul.baldassari@flex.com
Twitter: @Flex_CHRO