December 09, 2019
The cost or even the effort to deploy human therapists
With deeper researches happening in AI and its related areas, far more use cases
will emerge in the HR space. The AI enterprise space is estimated to reach an
overall 6000 million USD. (Photo: Pixabay) Every time there is a tech buzzword,
there is the inevitable rush to adopt it. Remember the ‘everything dot com’
phase in the early 2000’s and the e-commerce boom of about last decade where
every shop was turned into an online marketplace. It is little surprise that
with AI and machine learning emerging as the newest trends, every other company
has been rushing to put together AI blueprints. Almost every industry has seen a
flurry of use cases in AI adoption – and the HR space has not been lagging. The
AI enterprise space is estimated to reach an overall 6000 million USD and a
sizeable chunk of enterprise AI applications is likely to be in HR.There are a
number of applications in various stages of the HR process from chatbots used in
onboarding to applications that sort through CVs or monitor employee
performance. However, with deeper researches happening in AI and its related
areas, far more use cases will emerge in the HR space. And, China
vacuum compressed bag it promises to go beyond the standard resume sorting
to applications that blend cognitive thinking, deep learning and smarter
self-adaptive programs.
Here are five impact areas that the Rimjhim Ray
(co-founder, Spotle.ai) thinks will see AI being harnessed to fuller potential
in the talent-opportunity space.Potential Predictors:We hire for potential, we
have heard a lot of managers and recruiters say this. But how do you do that?
Are 30 sec CV scans enough to gauge potential? Probably not. What can help here
is benchmarking potential candidates with your highest performers and base your
decisions on pattern matches. Possibly a background in NCC and not high grades
is what distinguishes most of your top employees. If you are scanning and
rejecting CVs based on grades here you are losing out on your highest
performers. Sentiment Analytics :AI is being used more and more to gauge
sentiments and construct personality maps based on the humongous amount of
social media content we create everyday. Sentiment analytics can also be applied
to resumes, cover letters and at the risk of sounding pervasive to emails and
chat messages. Understanding sentiments and personalities help going beyond the
standard grade and experience based fitment and look at deeper aspects like
cultural fits.Goodbye CVs. Hello, Faces (AI + AR):If the last 5 years was about
multiple disciplines like AI and AR emerge as strong independent drivers, the
next 5 years will see many more cross-disciplinary applications. In an
inter-connected social world, one dimensional CVs are increasingly getting
replaced by social graph – a matrix of your digital footprints. Superimpose that
with a person’s face and a person can just walk into an interview with his best
face forward, get scanned by an intelligent camera and the interviewer will see
possibly the person’s last tweets or his Github ratings floating over him. This
we can confirm is not Sci-fi. Face recognition can also be used to understand
emotions and offer predictive counselling. Obviously like with any use of tech,
what is doable has to be balanced by what is acceptable. A lot of people may
find machines scanning your faces and getting a low-down on your background or
mood pretty intrusive.Empathetic Counsellors :Workplace stress is the single
biggest killer of productivity. With increased impacts of modern life and work
styles on mental health, psychological disorders have emerged as the costliest
condition in many economies including the US.
The cost or even the effort to
deploy human therapists for all staff may be prohibitive however advancement in
AI means you can have virtual therapists which can simulate first-level
counselling. The anonymity of talking to a digital therapist also could be
helpful for employees in a country where mental health is a taboo. AI-based
counselling can also be deployed in career counselling where a chatbot can guide
you on your competency paths.
Personalised Coaches:Combine gamification and AI
and you can build fantastic career coaches for your employees. Take the examples
of fitness apps – they have used gamification in a novel way to help people
attain their fitness goals. A virtual career coach can set adaptive goals for
your employees, build learning paths for them, dish out rewards all building
engagement while making appraisal processes less tedious.— Rimjhim Ray,
Co-founder, Spotle.ai
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