Ai in HR Tech: Trends, Use cases, and Demos

AI in HR Tech: Trends, Use cases and Demos
Harbinger Systems
in association with HR.com
December 11, 2018

© 2018 Harbinger Systems | www.harbinger-systems.com 2
Speaker Introduction
Shrikant Pattathil Maheshkumar Kharade
President
Harbinger Systems
AGM - Technology
Harbinger Systems

© 2018 Harbinger Systems | www.harbinger-systems.com
Agenda
Key AI Trends in HRTech
Demos and use cases of AI enabled applications
Challenges faced in leveraging AI features and how to overcome those?
Summary

Poll #1
What best describes your role?
• Practitioner
• Product Vendor
• Service provider (consultant,
implementation, etc)
• Other
How many employees are there in your organization?
• 1 – 250
• 250 – 1000
• 1000 - 5000
• 5000+
Poll #2

Key AI Trends in HRTech

Key AI Trends in HRTech – Harbinger Analysis
Ref: The State of AI in HR 2018 industry research (preview) by HR.com
Talent Acquisition
Training and
Development
Performance
Management
Time and Attendance
Higher AI Adoption
Lower AI Adoption
Benefits, Payroll and
Others..
Virtual Assistant
Recommendation Engine
Pattern Recognition
Analytics
Trend Dashboard
Anomaly Detection
Predictive Analytics

Question #1 –Are you using AI in any other
HR apps or modules?

Demos and use cases of AI enabled applications

Example #1: Course Discovery Chatbot

Example #2: Chatbot solution for improving efficiency of Ticketing System
About Customer
• A US based technology
company employing over
100K employees
worldwide
• Employees include
skilled engineers,
unskilled staff, contract
staff and senior
managers
HR ticketing situation
• Average 1300 tickets
daily from employees
• Limited number of HR
and Support reps
• Stringent SLAs
• As a result, long wait
times, unsatisfactory
resolutions, increased
anxiety and escalations.
Solution for situation
• A Chatbot that can
handle routine HR
requests without
bothering the HR staff
• Chatbot that integrates
with popular channels
like (Skype, Phone)
• Chatbot that
understands different
languages, dialects and
expressions
• Chatbot that can connect
with HR staff if needed
Result
• Significant improvement
in ticketing productivity
• HR reps focused on
complex requests
• Less anxious and more
excited employees
• Continuous analytics of
Chatbot performance for
betterment of service
models
• Bot auto trained on
request resolution

Chatbot training workflow
1
2
3
4
5
6

Poll #3
Are you seeing value being derived from the ‘AI features” of
the HR applications that you are currently using?
• Yes
• No
• Don’t know

Challenges faced in leveraging AI features and
how to overcome those?

Challenges
Gathering
(Multiple
Sources)
Cleansing
Anonymizing
Organizing
Raw data transformation to
good AI data
Good
Data
Right
Model
Better AI
Getting “Good Data”
is the biggest
challenge and most
time consuming!
Data
processing
is unique to
each
organization

Example #1: Training data automation for
Chatbot

Demo

Example of an application to generate questions (better quality training data)
Submit Content
Copy your content into Quillionz.
Choose Keywords
Tell Quillionz which keywords are
important for question creation.
Review Content
Review and edit your content to get it
ready for the Quillionz AI engine.
Get Question Ideas
Get quality question ideas within
seconds, and tweak them as you wish.
Case/Ticket Details Domain specific corpus Expert Review FAQs

Example #2: Custom AI component for
Talent acquisition

Use case - Custom AI component for Talent acquisition
Analytics
Position
Area
Compensation
Custom Component
Job and Compensation Data
NLP Based Parser
Connector
Data Cleansing
Machine Learning
DB

Summary

Recap
AI in HRTech
• Higher adoption of AI in
Talent acquisition,
Training and
development,
Performance
Management and Time
and Attendance
Challenges
• Access to data from
multiple sources
• Provide continuous
training to underlying AI
models
• ONE-SIZE-FITS-ALL
solution approach not
applicable for all
organizations
Key to success
• Supporting applications
or custom solutions for
sourcing and processing
of internal and external
data

QnA
Please use Question Box

Thank you
23
Contact Us
Shrikant Pattathil – shrikant@harbingergroup.com
Maheshkumar Kharade – maheshkumar@harbingergroup.com

Use Case – NLP based Resume Parser
“Harbinger’s talent management executive needs to hire a
candidate with a particular skill set. For every job position, they
receive 1000s of resumes having a lot of variability and ambiguity
in the language used. In order to match every CV against open job
positions, its a time-consuming process as they use conventional
resume parsing tools. Most of the resume parsers available today
are rule-based and fails to 'understand' the resumes in the
context of a given job position”

Ai in HR Tech: Trends, Use cases, and Demos

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