automate hr applications using ai and ml

HR TECH CHATBOTS - GUIDE TO AUTOMATE HR APPLICATIONS USING AI AND ML Harbinger Systems

© 2017 Harbinger Systems | www.harbinger-systems.com 2

Speaker Introduction

Shrikant Pattathil Maheshkumar Kharade

President Harbinger Systems

AGM - Technology Harbinger Systems

© 2017 Harbinger Systems | www.harbinger-systems.com

Agenda

AI and ML Trends

Chatbots in HR Tech

Machine Learning in HR Tech

Benefits and Challenges

Summary


POLL


AI and ML Trends


Top 3 trends that will be part of most applications in 2018

Conversational interfaces (support, FAQs, simple workflows)

AI enabled recommendation engines (recruitment, engagement)

Self service reports (integrated BI tools, dynamic data correlations)


Chatbots in HR Tech


Web Mobile Conversational

8

Evolution of Interfaces


What is a Chatbot?

Automates routine and simple workflows

Uses natural language processing

Has learning capabilities (Machine Learning)- ability to add new workflows

Delivered through multiple channels like Skype, Slack, Email, Web…

Chatbot is an AI application with a conversational interface, that


Core HR

(Time Off, Ticketing)

Recruitment

(Status Updates, Scheduling)

Employee Engagement

(Surveys)

FAQs

(I9, Benefits)

HR Tech – Chatbot applications

Any other HR applications or workflows that you think would be a good use case for chatbots?


Demo – Time Off Bot


Building blocks of a Chatbot

Natural Language Processing

Intents

Utterances

Vocabulary

Interpretation

Bot Framework

Business Logic

Workflow

App Platform

Enterprise Apps

HRIS

ATS

CRM

Integration Conversational

Interface


Workflow of Chatbots

1

2

3

4

5

6


Machine Learning in HR Tech


HR Tech- ML applications

Recruitment

(Recommendation Engine, Pattern Matching)

Employee Engagement

(Sentiment Analysis)

Core HR

(Succession Planning, Anomaly Detection)


ML application- Problem Statement

“Harbinger’s talent management executive needs to hire a candidate with a particular skillset. As per our companies policy, he needs to create a panel of interviewers to conduct the interviews. Since, he is new to the company, he doesn’t know all the interviewers. Also, he isn’t well versed with the skillset requirements and its dependencies.”


Demo- “Recommendation Engine” for Interview Panel Selection


Understanding and analysis of business problem

Data source search, extraction and transformation

Model selection and application

Prediction Visualization Integration

Building blocks of a ML Application


Benefits and Challenges


AI and ML Applications- Benefits

For Employee

For HR

Provides shorter and simpler workflows Provides in context assistance Facilitates better compliance

Improves self service capability Enables new workflows (reduces dependence on programming) Improves productivity of HR Reps (focus on more complex tasks)


AI and ML Applications- Challenges

Achieving balance between functionality, accuracy and length of interaction

Humanization of overall experience

Addressing privacy and security concerns

Gathering data from multiple sources

What challenges have you encountered while using a chatbot or AI application in your enterprise? If you haven’t used one yet, what roadblocks do you foresee?


Summary


Recap

Conversational interfaces (Chatbots)

• Automation of simple workflows

ML enabled applications

• Leveraging historical data to make intelligent recommendations

Challenges

• Finding the right business case

• Dependency on data


Thank you

24

Contact Us Shrikant Pattathil – [email protected]

Maheshkumar Kharade – [email protected]

mailto:[email protected]

mailto:[email protected]

automate hr applications using ai and ml

Recruiting & HR