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The primary driving force for most new inventions is a need. Major inventions and discoveries are all a result of necessities of human life and the desire of human to make the world a better place. Be it cave man inventing fire, Edison the light bulb, Wright brothers created the flying machine, small pox vaccine by Jenner – there are millions of such inventions led by dire need. Necessity compels man to exercise his power.
Likewise EdGE Networks’ Search and Match algorithm which forms the core even today was an outcome of the need to satisfy a lacuna. During my first venture (a digital learning platform), I was often haunted by a question while recruiting talent, “What if my next potential candidate lies in the piles of discarded resumes?” That is also when I realized that there is a great opportunity for us to utilize this explosion of computing. In other words, artificial intelligence. Machine learning algorithms using NLP can emulate the human brain by reading and understanding millions of JDs and resumes in a second. We have built a neural network of skills and jobs that will learn and grow over time using our source-validate-connect algorithms with NLP. Our weighted search-and-match mechanism scores candidates, ranks them, and brings up the most relevant profiles from multiple databases. This enables hiring managers with intelligence that helps them make hirirng decisions.
Driving to build a product now deep learning and machine learning
However, the journey was laden with many speed breakers. Some of the challenges from the customer are data, integration with legacy systems which slow your platform down and apprehension about an AI platform which is mainly due to lack of awareness. Additionally, as a start-up, talent shortage especially in data science which is the core and the other is the initial teething problems in the algorithms as they go through their learning curve which gets fixed in time.
While it was demanding, what makes it all worth while is the milestones that you achieve at short intervals – they are gratifying. Our biggest win was getting Wipro in as our first customer – they were our anchor, we built most of our core product during the initial deployment at Wipro. It was a steep learning curve for us people and for our algorithms. From having 1 feature in 2013 which was Search and Match, today, we have 4 full-fledged product with 15 features which makes us an end-to-end talent management platform.
Challenge meets opportunity
“What if my next potential candidate
lies in the piles of discarded
Machine Learning with its
ability to emulate human brain
Machine Learning based platform that would
alleviate search friction for people and jobs
Demanding yet fulfilling journey
Demanding yet fulfilling journey
Match 3.9 million JDs
and 22 million
4 service lines
with over 15
It’s a relay: Service to Product to Platform
Design Thinking Approach
Deep neural networks growing everyday
Plough back into innovation: Invest and Measure
Data science lab
Awareness Education Engagement
Personalized Sales & Marketing
JD & Profile
iJD Social Search
Simplification through AI
TA Specialist RMG
The new world of work: Enabled by AI