Electronics_For_You_July_2017

smart world

http://www.EFymag.com ElEctronics For you | July 2017 99

If you want to share with EFY readers such case

studies, please contact us at [email protected]

says an HR industry player who
requested anonymity.

What’s deep learning in hr?

Currently, the most popular imple-
mentation of deep learning in HR
is natural language processing. It is
an intelligent system that performs
tasks using natural languages of
humans, including speech and texts
in English. This process is ex-
tremely useful as it helps employers
analyse, understand and better en-
gage with their employees through
communication.

recruiting the right talent

Recruiters often end up hiring
the wrong talent despite putting
in their best efforts. Faced with a
similar situation, a global IT giant
based out of Bengaluru imple-
mented deep learning systems in
its HR processes. The company,
which has a massive workforce
and growing number of jobs, was
finding it difficult to get the right
candidate both externally as well
as internally. Once deep learning
solutions were put in place, the IT
major witnessed a whopping 96
per cent reduction in the cycle time
because the candidate visibility had
increased by four times.
“A recruiter is expected to iden-
tify specific parameters to hire a
potential employee. If the recruiter
hires without a complete under-
standing of the core competencies
of a candidate, the recruiter will
not get 100 per cent quality within
the time taken. Also, there will be a
lack of consistency in the job role,”
says Arjun Prathap, founder and
CEO of EdGE Networks.
“Deep learning understands dif-
ferent parameters such as domain,
location, certification and compe-
tency to know and select the best
suited candidate for the proposed
job role,” adds Prathap.
Currently, recruiters often
tweak the available job descrip-
tion to find a candidate that best

fits the job requirements. How-

ever, doing so only gives them

half-baked results and often

results in wastage of time, money

and resources.

enhancing employee

engagement

Deep learning helps organisations

understand their employees’ mind-

set better. Tools like voice analys-

ers and text analysers help decode

an employee’s communication to

the management.

For instance, US based Madi-

son Reed, a hair-care startup,

wanted to understand whether it

offered a conducive work envi-

ronment to its employees, which

included engineers, colourists,

stylists and remote staff. So it

reached out to Glint, an HR tech-

nology company, to understand

the needs of its workforce. Glint’s

system provided Madison Reed

with real-time data, enabling its

team leadership to address issues

quickly and effectively. It also

established a user-friendly mecha-

nism that allowed employees to

give direct and honest feedback.

Monthly analytics helped the

management to understand what

Deep Learning in HR can help improve employee engagement within the organisation

(Image courtesy: jasmin-infotech.com)

changes in the organisation affected

the employee satisfaction quotient.

The system used both data ana-

lytics as well as deep learning to

deliver the desired results.

reduction in the cost

to company

Deep learning mechanisms, when

implemented in human resource

functions of an organisation, con-

siderably reduce expenses incurred

on employees. For instance, the IT

major we discussed above, wit-

nessed a whopping 58 per cent

reduction in its hiring costs. The

company was also able to find the

right candidate internally, thus

cutting down its external hiring by

almost 35 per cent.

To summarise, deep learning is

a fairly new concept in the global

HR industry. So you are likely to

gain a first mover’s advantage by

implementing machine learning in

your organisation’s HR functions to

make it a better workplace. After

all, people are the biggest asset of

any company.

—Purba Das, senior business journalist, EFY