How Artificial Intelligence Accelerate Recruitment ?

When we say Artificial Intelligence, we are not just talking about machines or robots that will make human life easy or do tasks that are purely mechanic. Rather, artificial intelligence has the power to accelerate human task and even be on par with the human efficiency.

The idea of a machine being as good as humans has fascinated us and with it becoming a reality now, the adoption has been quick and worth the while.

Many sectors have taken advantage of AI to ease the work and reach new heights. One such sector has been the human resource and especially, the process of recruitment.

How AI accelerates recruitment?

Recruitment is a process that requires the recruiter to scan multiple curriculum vitae. From a time when the jobs were limited to a time when every small task has a special position for which the recruiter has to look for the right candidate. Job descriptions nowadays are detailed and specific and companies look for candidates that perfectly fit the mold. This calls for an eye for detail for the recruiter. Hence, a mechanism that can help them shortlist the right candidates.

Here’s where AI comes into force. It allows recruiters to pick the right candidates in lesser time. And not just picking, one could schedule response emails, keep the candidates informed about a relevant opening, informing the existing team about the openings at the company.

The right candidate

Think about it like this. In a pool of CVs, each CV seems like it is going down the black hole without even being noticed. For recruiters and potential candidates, it is not finding or being found, it is also about making the candidate feel they are important. This can only be done when the recruiter and the candidate build a professional relationship.

Applications

The applications are being developed that are driven by Machine Learning and make recruitment a smooth sail. These applications have come up with algorithms that automate tasks including studying and shortlisting resumes, sending follow up emails, or finding potential candidates for your company’s new vacancies.

Here are some such applications:

  • Beamery: It is a candidate relationship building software that uses machine learning software to track application and also build a relationship with the candidates for future. The application uses social media channels to fill the gaps in candidate information.
  • ThisWay Global: A recruitment platform uses AI to fill the information gap about candidates. It also focuses on gathering skill set information rather than segregating on the basis of information such as gender, race and age.
  • Mya: A recruitment bot or an assistant automates as much as 75 per cent of the recruiting process. With Mya, the chatbot is provided to candidates that allows them to communicate using Facebook Messenger. Hence, the candidate can understand the level of his skills for the job even before recruiter contacts them.
  • Jobo: A chatbot for candidates allows them to provide information including your LinkedIn profile address and resume. With this information, it finds the candidate a job perfect for their skill-set and even send you notification. Alternatively, you can query Jobo for jobs in your area of expertise and apply directly through the conversational interface.

Is AI The New UI?

World’s largest technology players, Apple, Google and Accenture, have realised that Artificial Intelligence is and will be developed as the new User Interface. But, why?

In a recent event Accenture Technology Vision 2017, one of the most talked about trend was AI. One of the most important chapter discussed about how AI is the new UI. This is because with the developments AI will soon become the underlying technology capability that will drive enterprises and day-to-day working of people, alike. Interestingly, this will become a common platform for engagement between both customers and employees.

According to the speakers at the event, AI will be the new digital spokerperson for enterprises to interact with their customers. This platform will give customers to get a completely customised and personalised way of looking at the brand and interacting with it too.

A report suggests that in the 12 developed economies analysed, AI has the potential to double growth rates by 2035. This can only be achieved if the solutions are developed using the people-first approach that is business-oriented as well as technology-rich.

Ask how? Think talking to Google Now, interacting with chat bots on PCs, or even giving command to the automated home bots to operate your home. These are some of the easiest examples where people are interacting with the technology through an AI interface.

So, going further, it will be AI that we will be talking to, asking for things and giving commands.

Who will benefit?

This interface will not only prove to be a boon for customers, it will be an equally exciting for brands, too. Interestingly, it will expand the human-like interaction like never before. AI is already a curator, collecting and interpreting large amounts of data and then studying it using Machine Learning. Going further, manufacturers will depend on AI to keep a keen eye on the manufacturing and even delivering of products. Think about a system that tells you about upcoming weather updates, travel routes and even saved reminders for certain deliveries. All this will be held by a technology driven dashboard rather than a human mind or a book.

Hence, AI would turn into an advisor, too. “In the auto insurance industry, for example, adjusters use Tractable’s deep learning systems to simplify the triage process after a car accident. Instead of manually scanning pictures, they use machine-trained estimates for repair costs, enabling agents to accelerate a claim past triage and into repair, salvage, or appraisal,” a blog at Accenture reads.

The blog further reveals that in more advanced stages AI will become an orchestrator. It will bring together different channels, learn from the interactions and then create and execute new tasks.

This brings us to the understanding that AI, which is driven by Machine Learning, opens up new horizons for various industries to explore the technology. For those aspiring to be in the league of Machine Learning, new opportunities are waiting for you. And to give you a kickstart we have a 6-weekend training class. Held in our Bengaluru headquarters, these classes let you learn theory and put it to practice on live projects. 

What’s more? There is a voluntary internship programme for those who complete the course. Work on our live projects and get real exposure to industry projects and corporate standards.

 

Decoded: Difference Between Machine Learning & Artificial Intelligence

The buzzwords that are talked about in one breathe and even used interchangeably. While many of us think that Machine Learning (ML) and Artificial  Intelligence (AI) are same, that is not the case.

The two together make the base of Big Data, and hence, will be the wave makers in the world of futuristic technology.

Here let’s clear the air as to how ML and AI even if interconnected are completely different in their definition.

AI is a broader technology that is driving today’s “smart” world, on the other hand, ML is the current application which is driving the world of AI. So, in simple terms the best of AI is achieved using data that is read by ML.

Artificial Intelligence

AI in simple terms is the science where in machines exhibit human intelligence. A term coined in 1956, AI has come a long way in evolution. Then it was building computers with human intelligence, now it is powering bigger things, robots, homes, and even space projects. Moreover, this trend has been seen in movies since then, too. From Star Wars to Terminator and to Matrix, all showcasing AI in different forms. While the larger works are called General AI, the more personalised search, face recognition on Facebook and image classification on Pinterest are Applied AI.

Machine Learning

Machine Learning comes in to being when we talk about Applied AI. It is an approach to achieve this form of AI. Why? Because ML is the basic practice of reading algorithms, learning from it and making predictions based on the readings. These algorithms form the core of Applied AI. Thus, ML brings down the efforts of human coding of software, rather instructions are set to accomplish a particular task and the machine is trained to use large amounts of data and algorithms. This gives the ability to the machine to learn and perform the task to perfection.

Google Bets Big On Machine Learning & AI, Here’s Your Cue To Learn The Technology

Machine Learning

Did we tell you Machine Learning and Artificial Intelligence are the next big thing? Ohh! We did. But, did you know Google’s CEO, Sundar Pichai agrees to it, too.

You saw him making a much-talked about visit to his Alma Mater, IIT-Kharagpur, after years he passed out of the institution. Now that he came to the country and to the college he is alumni of, he played cricket, met people, and then addressed the students. During his address the focal point he made was that Machine Learning and Artificial Intelligence will be driving the future.

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What Makes Data Scientist A Hit Job Profile?

 

Businesses worldwide have flourished and so have the countries. But, what is it that has been key to the growth? It’s a business strategy, a strategy that is formed on the basis of data collected overtime showcasing what has worked, what hasn’t and what will in the future. Data has always been the key to any planning, development and even completion of a project.

Continue reading “What Makes Data Scientist A Hit Job Profile?”