#AI-based resume parser

[all-software-updates]

Top Benefits of AI-based resume parser and Why DRP Is the Best Option

Resumes for every open position are flooding recruiters and HR professionals in today's fast-paced job market. It takes a long time and is easy for people to make mistakes when manually sorting through these resumes. AI-based resume parsers enter the picture here, revolutionizing the recruitment procedure by streamlining and automating resume screening.

Benefits of Resume Parsers Based on AI Speed and Efficiency

Efficiency and Speed: AI-based resume parsers are capable of processing hundreds of resumes in a fraction of the time required by a human recruiter. This permits HR groups to zero in on additional essential errands, for example, meeting and applicant commitment.

Precision and Consistency: Unlike manual screening, AI-based resume parsers guarantee a reliable and impartial assessment of each resume. With their high accuracy, the AI resume parsers extract relevant information like skills, experience, education, and contact information, lowering the likelihood that qualified candidates will be overlooked.

Improved Candidate Experience: AI resume parsers speed up the initial screening process, thereby reducing the time to hire and improving the candidate experience. A candidate's perception of the company can be significantly enhanced by prompt responses and updates.

Cost-effective: Automating the process of screening resumes with help of AI resume parser can save a lot of money. The cost of hiring new employees can be reduced by cutting back on the amount of time spent on temporary staffing and overtime pay for HR professionals.

Scalability: AI-based resume parsers are ideal for businesses experiencing rapid expansion or seasonal hiring spikes because they can easily handle large volumes of resumes. No resume is overlooked because of this scalability, regardless of the volume.

Data-Driven Insights: AI-based resume parser can offer useful insights and analytics about the talent pool. Recruiters can refine job descriptions and recruitment strategies by identifying trends, such as the most common skills or qualifications among applicants with help of AI resume parser.

Why DRP is the Ideal Solution

Digital Resume Parser (DRP) from The Digital Group stands out as the best AI-based resume parsing tool because it has a lot of features that make the hiring process easier.

Advanced Parsing Technology: DRP makes use of cutting-edge artificial intelligence algorithms to precisely extract and classify data from resumes. This AI-based resume parser guarantees that all pertinent data are gathered and arranged for straightforward access and analysis.

Seamless Integration: DRP's seamless integration with Digital HRMS and other HR systems makes it possible to manage the entire recruitment process from a single platform. The risk of errors is reduced and the need for manual data entry is eliminated by this integration.

Customizable: DRP gives recruiters the ability to modify parsing rules based on specific job requirements. The parser is able to focus on the information that is most relevant to each position because of this flexibility, which improves the quality of candidate matches.

Real-Time Processing: With DRP, resumes are parsed in real time, making it easier for recruiters to quickly find and shortlist candidates who meet the requirements. Maintaining a competitive edge in the job market necessitates this real-time processing capability.

User-Friendly Interface: DRP's user-friendly interface makes it simple for HR professionals to use all of its features and navigate it. The ease of use makes it easier to learn and boosts productivity.

Strategic Reporting: DRP gives itemized reports and investigation on the parsed resumes, offering bits of knowledge into the ability pool and enrollment patterns. Using these reports, recruiters can improve their hiring strategies and make decisions based on data.

In conclusion, AI-based resume parsers provide numerous advantages, including cost savings and enhanced candidate experiences in addition to increased efficiency and accuracy. The Digital Resume Parser (DRP) is the best option for businesses looking to improve hiring outcomes by streamlining the recruitment process and utilizing AI's power. Find out how DRP can transform your recruitment strategy and assist you in finding the best candidates more quickly and effectively.

[surematch-healthcare]

Redefining Recruitment: How Technology is Transforming Hiring

The recruitment industry has undergone a dramatic evolution over the past decade, driven by rapid technological advancements. Businesses are increasingly leveraging innovative tools and strategies to streamline their processes, enhance the candidate experience, and maintain a competitive edge in securing top talent. At Surematch, we are dedicated to embracing these technological breakthroughs to transform traditional hiring into a modern, seamless experience.

Traditional Recruitment vs. Modern Technology

In the past, recruitment was a labor-intensive process involving manual tasks like sorting through paper resumes and conducting countless face-to-face interviews. While effective in their time, these methods were time-consuming, prone to human error, and lacked scalability.

Today, technology has revolutionized recruitment by introducing automation, artificial intelligence (AI), and data analytics. These tools provide greater efficiency, precision, and scalability, enabling recruiters to find the right talent faster and more effectively. At Surematch, we’ve adopted these innovations to provide tailored hiring solutions that meet the unique needs of employers and job seekers.

Key Technological Advancements in Recruitment

AI-Powered Screening

AI technology has reshaped how candidates are evaluated, automating the screening process with tools like resume parsers and AI-driven applicant tracking systems (ATS). These systems can analyze thousands of resumes within seconds, identifying the most qualified candidates based on predetermined criteria. At Surematch, our AI-powered solutions ensure faster, more accurate, and bias-free hiring decisions.

Predictive Analytics

Predictive analytics uses machine learning and historical data to anticipate hiring outcomes. By analyzing trends like retention rates, candidate performance, and hiring behaviors, recruiters can forecast the success of a hire before onboarding begins. Surematch leverages this technology to make informed, data-driven decisions that improve long-term satisfaction for both employers and employees.

Virtual Recruitment Tools

The rise of remote work has increased the need for virtual recruitment tools. Platforms for video interviews, online assessments, and virtual job fairs have become essential, allowing employers to connect with candidates regardless of location. At Surematch, we utilize these tools to create opportunities for diverse talent, breaking down geographical barriers.

Mobile Recruitment

As mobile usage continues to grow, job seekers increasingly rely on their smartphones for job searches, applications, and communication with recruiters. Surematch’s mobile-optimized platform delivers a user-friendly experience, allowing candidates and employers to engage effortlessly from their devices.

Benefits of Recruitment Technology

Enhanced Candidate Experience

Technology has simplified the candidate journey, making it faster, more transparent, and interactive. Features like real-time updates, chatbot support, and streamlined application processes ensure candidates feel informed and valued every step of the way.

Greater Efficiency and Cost Savings

Automation reduces the time spent on repetitive tasks like resume screening and scheduling interviews, enabling recruiters to focus on strategic decision-making. This speeds up the hiring process while minimizing costs, benefiting businesses of all sizes.

Promoting Diversity and Inclusion

Recruitment bias has long been a challenge, but AI tools are helping to overcome it by assessing candidates purely on their skills and experience. By removing unconscious bias, these tools foster a more inclusive workforce. At Surematch, we are committed to creating equal opportunities for all through technology-driven hiring.

Scalability and Flexibility

Modern recruitment tools can adapt to the needs of businesses, whether they are hiring for a single role or scaling up for large projects. Cloud-based systems efficiently handle large volumes of applications without compromising speed or accuracy. Surematch’s scalable solutions are designed to meet the diverse requirements of businesses across industries.

The Future of Recruitment Technology

The future of recruitment promises even greater innovation. Blockchain technology may transform credential verification, augmented reality could offer virtual workplace tours, and advanced AI systems will further refine hiring processes. At Surematch, we are committed to staying ahead of these trends, ensuring our clients benefit from cutting-edge solutions that drive success.

Final Thoughts

Technology has revolutionized recruitment, offering unmatched efficiency, precision, and value to both employers and job seekers. At Surematch, we are at the forefront of this transformation, delivering innovative hiring solutions that align with the evolving needs of the modern workforce. As the industry continues to advance, we remain dedicated to empowering businesses and individuals through technology-driven excellence.

[officialskima]

AI Matching Score: Revolutionizing Personalized Experiences

In today's data-driven world, businesses are constantly seeking ways to enhance customer experiences and improve their bottom line. One powerful tool emerging at the forefront of this revolution is the AI Matching Score. This innovative technology leverages artificial intelligence to analyze vast amounts of data and provide highly personalized insights and recommendations.

Skima Innovation talent intelligence platform discovers and matches top candidates to from your candidate databases to jobs in no time. Stop wasting time in screening candidates with dumb resume parsers.

What is an AI Matching Score?

An AI Matching Score is a numerical value generated by AI algorithms that quantifies the compatibility or relevance between two entities. These entities can be anything from customers and products to job seekers and potential employers. The score is derived from a complex analysis of various factors, including:

User Data: Demographics, preferences, browsing history, purchase history, social media activity, and other relevant information.

Item Data: Product attributes, features, pricing, availability, reviews, and other pertinent details.

Contextual Data: Time, location, current trends, and other external factors that may influence user behavior.

How AI Matching Score Works

The process of generating an AI Matching Score typically involves several steps:

Data Collection: Gathering relevant data from various sources, including user profiles, product catalogs, and external databases.

Data Processing: Cleaning, transforming, and preparing the data for analysis. This may involve techniques such as data normalization, feature engineering, and dimensionality reduction.

Model Training: Developing and training machine learning models on the prepared data. These models can include techniques such as collaborative filtering, content-based filtering, and deep learning.

Score Calculation: Applying the trained models to generate a matching score for each pair of entities. The score can be a continuous value (e.g., a percentage or a decimal) or a discrete value (e.g., a rating from 1 to 5).

Recommendation Generation: Using the matching scores to generate personalized recommendations, such as product suggestions, job matches, or content recommendations.

Benefits of AI Matching Score

The AI Matching Score offers numerous benefits across various industries:

Enhanced Customer Experience: By providing highly personalized recommendations, businesses can improve customer satisfaction and loyalty.

Increased Revenue: By matching customers with the most relevant products and services, businesses can drive sales and increase revenue.

Improved Efficiency: By automating the recommendation process, businesses can free up human resources and improve operational efficiency.

Better Decision Making: By providing data-driven insights into customer preferences, businesses can make more informed decisions about product development, marketing campaigns, and other strategic initiatives.

Reduced Costs: By reducing the time and effort required to find relevant information, businesses can reduce costs associated with customer service, marketing, and other operations.

Applications of AI Matching Score

The AI Matching Score has a wide range of applications across various industries, including:

E-commerce: Product recommendations, personalized offers, and targeted advertising.

Job Recruitment: Matching job seekers with suitable job openings and employers with qualified candidates.

Content Recommendation: Recommending articles, videos, and other content to users based on their interests.

Dating and Social Networking: Matching users with potential partners and connecting people with similar interests.

Healthcare: Matching patients with the most suitable treatments and healthcare providers.

Finance: Providing personalized financial advice and investment recommendations.

Conclusion

The AI Matching Score is a powerful technology with the potential to revolutionize the way businesses interact with their customers and make decisions. By leveraging the power of AI and machine learning, businesses can gain valuable insights into customer preferences and deliver highly personalized experiences that drive customer satisfaction and business growth. As AI continues to evolve, we can expect to see even more innovative applications of the AI Matching Score in the years to come.

[openintervue-blog2024]

How AI Can Help You Identify Top Talent in Competitive Markets

The war for talent is real. In today's competitive job market, attracting and retaining top performers feels like an uphill battle. Resumes pile up, interview schedules fill to bursting, and the pressure to make the right hiring decision intensifies.

Enter the power of Artificial Intelligence (AI). AI is rapidly transforming the recruitment landscape, offering innovative solutions to help businesses identify top talent faster and more efficiently. Here's how AI can be your secret weapon in the fight for top performers:

1. Unleashing the Power of Advanced Resume Parsing:

Traditional resume screening is a time-consuming and often subjective process. AI-powered resume parsers go beyond keywords, extracting a wealth of data and insights. They can:

Identify hidden talent: Analyze skills and experience beyond keywords to uncover candidates whose qualifications might be overlooked in a traditional scan.

Categorize and organize information: Automatically categorize skills, experience, and education, streamlining your shortlisting process.

Reduce unconscious bias: By focusing on objective data, AI helps remove bias from the initial screening stage,ensuring a fair opportunity for all qualified candidates.

2. Conducting Intelligent and Engaging AI Interviews:

AI interview platforms are revolutionizing the way we assess candidates. They can:

Schedule interviews automatically: Free up your time by setting up interview times based on candidate and interviewer availability.

Conduct standardized, objective interviews: AI interviews ask consistent, pre-determined questions, ensuring a fair and balanced evaluation for all candidates.

Analyze candidate responses: AI can identify key skills, strengths, and potential areas for development based on a candidate's responses.

Provide valuable insights: Receive AI-generated reports that highlight a candidate's suitability for the role,allowing you to focus your attention on the best prospects.

3. Personalizing the Candidate Experience:

AI can enhance the candidate journey, fostering a positive impression of your company. This can include:

Automated communication: AI can send personalized emails and updates to keep candidates informed throughout the recruitment process.

24/7 Availability: AI chatbots can answer basic questions and schedule interviews at the candidate's convenience,creating a more flexible and accessible experience.

4. Building a Diverse and Inclusive Talent Pool:

By removing unconscious bias from the equation, AI can help you attract and hire a more diverse and qualified workforce.

Here are some additional benefits of using AI in recruitment:

Reduced Time-to-Hire: Find the perfect fit faster by automating tasks and streamlining your process.

Improved Cost-Effectiveness: Save time and resources by eliminating inefficient screening methods.

Better Hiring Decisions: Make data-driven decisions based on objective information and candidate evaluation.

AI is not a replacement for human judgment in recruitment. However, it is a powerful tool that can significantly enhance your hiring process. By leveraging the capabilities of AI, you can gain a competitive edge in the talent market and build a high-performing team for long-term success.

Ready to unlock the power of AI recruitment?  learn more about OpenIntervue

[data-science-articles]

Top 5 AI projects in 2023

Introduction AI isn't just for the biggest tech companies in the world. Fortunately, many small-scale firms may benefit from AI technology by implementing creative AI concepts. Even a shopkeeper may utilize AI technology to keep track of his goods since the software tools needed to construct and deploy the AI are so inexpensive.

The field of research and development, which foresees AI's unavoidable continued expansion and existence in the future, empowers AI to have stronger learning and assessment skills. This is the perfect time to start working on AI projects if you're interested in technology.

In this article, we'll discuss various AI project ideas to aid in your understanding of how AI operates.

Firstly, What is AI? Artificial intelligence, or AI, is the ability that robots have to evaluate and carry out activities on their own, without assistance from a human. AI uses machine learning techniques to automate and make devices self-sufficient.

There are four types of AI: Reactive Machine Limited Memory AI Machines Theory of Mind Self Aware AI

Engineering and programming are necessary for the creation of AI. To integrate these two fields of expertise, you'll need a strong education and dedication, but the numerous job alternatives and lucrative payoffs are well worth the effort.

The typical annual income for an AI expert is $125,000, and a variety of positions are available, including machine learning engineer, data scientist, and business intelligence developer. We heartily recommend taking courses like Skillslash's Advanced Data Science & AI course, Business analytics course, etc. if you're interested in studying the principles of AI.

The computer and space industries are not the only ones using AI. Your smart Televisions, smartphones, and even speakers all include artificial intelligence. As AI touches practically every business, you have a wide range of project ideas and career opportunities at your disposal. It has the potential to take the place of people in various occupations. Yet along with such replacements will come a demand for AI specialists in the industry. As a result, AI is the ability of the century, and we as a species are continuously discovering new applications for it.

AI Projects to Practice Below are some great AI Projects to start working on in 2023:

Prediction of Stock Prices - A stock price predictor is among the simplest AI project ideas for beginners. For AI experts, the stock market has long been of interest. Why? because the stock market contains so much densely packed information. Several datasets are available for you to work with.

Also, this project is a fantastic chance for students who want to learn how the finance sector functions and are interested in pursuing careers in finance. Remember that the feedback loop on the stock market is rather small. As a consequence, your forecast algorithm, which you employed for the AI, is verified.

You may start by predicting the 3-month price variation of equities utilizing data from open data sources and the shown historical inflation of the stocks. These two will serve as your algorithm's main building blocks. To develop your stock predictor, you may also utilize the LSTM model and Plotly dash Python framework.

Resume Parser - HR managers sift through the stack of applications for hours looking for the ideal applicant for a vacancy. Finding the perfect résumé is simple thanks to AI, though. Build an AI-based resume parser that analyzes resumes using keyword recognition. You may use keywords to tell the AI system to look for certain qualifications and experiences.

However, keep in mind that this screening procedure may also have disadvantages. As many candidates are aware of keyword matching algorithms, they attempt to game the system by stuffing their resumes with as many keywords as they can.

It's an excellent practice to develop an AI system that scans resumes for anything suspect by looking at both the keywords and how frequently they are used. To do this, you may utilize the Kaggle dataset to build the model for the project. The title and the candidate's resume's information are the only two columns in the dataset.

Using the NLTK Python package, you may pre-process the data. Following that, you may create the clustering method, which enables you to group the terms and talents that an applicant must possess in order to be hired.

Detection of Instagram Spam - Many spam messages from persons attempting to sell them an MLL or other item have been reported by several Instagram users. You can identify these spam comments and messages using an Instagram spam detector, however there isn't a reliable dataset online that can teach your app about spam comments.

To begin, use Python to query the Instagram API and retrieve all unlabeled comments that have been posted on Instagram. Utilize keywords to identify which comments should be flagged as spam after training the AI using data from Kaggle's YouTube spam collection.

You can also employ the N-Gram method, which gives greater weight to phrases that appear more frequently in spam comments. After that, you may contrast these terms with online escape remarks. Instead, you may use a distance-based method like cosine similarity. Depending on the kind of preprocessing you do at the beginning, these may produce findings that are more accurate.

Chatbot - When clients visit a company's website, chatbots provide them with rapid support. Using proven frameworks that are currently utilized by several MNCs for their websites, you may construct an AI chatbot. Identify the most frequent user inquiries and sketch out the various conversational processes to create a successful chatbot. Before integrating the modules into the chatbot dialogue, add the logic. If you decide to make a chatbot, make sure to properly test it before making it available to the general public. To check for any possible problems, get individuals to test it out. Choose the appropriate platform to display the capabilities of your AI chatbot after training it.

E-commerce Product Recommendation System - You can see advertisements for e-commerce items on your social networking profiles. Why? It is a result of AI. To provide e-commerce suggestions, the AI algorithm uses information from your prior purchases and website visits. But, a lot of companies are increasingly making spur-of-the-moment ideas. As they employ AI to study how each user interacts with and selects things on their website.

You'll need an existing framework that makes use of machine learning algorithms before you can construct an AI project for recommending products for use in online commerce. Machine learning methods for recommendation systems fall into two types. The collaboration comes first, followed by content-based filtering. Yet, if you want to create your own version, you should unquestionably combine the two.

Conclusion AI is a fascinating field of technology that will continue to have a major impact on how we live our lives. Try out the aforementioned AI projects to familiarize yourself with the resource and increase your understanding. And if you want a sturdier grasp on this subject, Skillslash's courses (as mentioned above) are always there for support and guidance. The real-work experience provided by Skillslash is undoubtedly one of the best in the market today and truly worth the trial.

[resumeparser1]

Easy and accurate parsing of resume/cv data and job descriptions. AI-based RChilli resume parser can extract all relevant data from resumes and enrich it with taxonomies. It uses a REST API to extract candidate data from resumes in 140+ data fields. It is a tool that analyses a resume/CV created in any document format, including DOC, DOCX, PDF, RTF, TXT, ODT, HTM, HTML, DOCM, DOTM, DOT, DOTX, and extracts it into a machine-readable format, such as XML or JSON, using an API

[macrochallenges]

Top 3 HR Tools Every HR Professional Should Know About in 2022

Going through to analyze the cost of hiring a new employee is certainly going to be a big task according to some research. If you want to hire an employee, it is going to cost around 4000 U.S. dollars. But if you are in the field of human resources, you may be having some ideas about the things which you can do to cut this cost and you don’t need to go through unsolicited advice regarding it but you must know those ways by which you can hire an employee without having to spend much. Expenditure can be related to job listings, interviews as well as training but if you want to save time, you can definitely use some HR tools which can be helpful to hire a new candidate, and at the same time, you will also be able to save your money in the process. If you’re looking for the Best Career Consultancy in New York,  you can definitely contact the platform Macrochallenges.

Now, let’s know the top three recruitment tools which can really help HR professionals to hire candidates in a great way.

Applicant Tracking System (ATS)

It’s recruiting software that is specifically designed to simplify the hiring process of any particular organization. This particular software stores candidates’ data along with cover letters and resumes. It becomes beneficial in terms of recruiting the candidates because its database is such that it is able to support functionality for the recruiters in getting the talented employee. This particular software is also integrated with innovative technology which includes resume parsing technology.

As far as the benefits of using resume parsing with an ATS are concerned, there are numerous benefits and one of them is that it is able to allow easy access to the data of the candidate. Another benefit includes real-time collaboration with the hiring teams which also results in transparency as well as impartiality.

AI and automation enabled tools

As far as the benefits of AI are concerned, it is able to allow HR departments to use ATS in offering the capability to recruit in a systematic manner. It helps in shortlisting the candidates and it is also able to make it possible for screening resumes in a better way.

All such recruitment tools have been used based on artificial intelligence and these tools are preferred because their automated hiring process is easier and without any bias. AI power tools are capable enough to screen the candidates, enable virtual chat and analyze the data in a systematic manner. Parsing software and chatbots are definitely examples of such tools.

Social recruiting tools

Social media recruitment tools have definitely become famous at present and there is no company that is devoid of social media recruitment tools. There are social media platforms such as Twitter, LinkedIn as well as Facebook and they are used widely by the followers and various candidates are looking for different types of jobs in the same way, companies also advertise their jobs on such platforms and they look for great talent over there. Once they’re able to connect with the right candidates, the process of hiring starts.

If you’re looking for a New York HR Consultancy, you can definitely contact the platform of Macrochallenges.

In what way can RChilli help in hiring candidates with AI-powered solutions?

There are three software products that RChilli offers in the very first step of the screening process of the candidates and those three products are for staffing firms, job boards, ATS, and enterprises. And these three software products are:

Resume Parser

Job Description Parser

Taxonomy

Resume Parser

It is always going to be the first step to review the resume of the candidates and to do it, there is a requirement of an automated tool it can really help in this process. As far as the R chili resume parser is concerned, it is able to segregate the information from the candidates’ resumes.

It is able to get the whole formation about the candidate with a single click and also has the capacity to provide you with the option of uploading the resume directly from your email messages. And if you want to parse resumes in bulk, it is going to be possible through this particular software tool.

JD parser

It is undoubtedly an intelligent software and it has the capacity of extracting relevant parameters from the job description and it saves them in an already defined field. As far as this particular software is concerned, it can really help the recruiters to parse job descriptions from either single or multiple email inboxes.

Taxonomy

R Chilli taxonomy has the capacity of giving a great collection of skills including job profiles of the candidates this software is also capable of giving related information about the candidates and it provides 900,000 skills along with  550,000 job profiles in different languages. As far as the list of data with the candidates is concerned, you can a huge list of skills of the candidates along with getting the profiles, and then you can start choosing according to the requirement and the type of post for which you are looking for the candidates.

Conclusion

Recruiters have got different types of tools at present to use to search for a suitable candidate and such tools are able to understand the profile of the candidates by screening them in a good manner. Now screening any resume has also become easier and this has really made the work of recruiters easy as they don’t have to look at so many resumes and go through them one by one to select one resume and then call the candidates for an interview and then training. Things have become quite easier and automated tools have also made many processes easier once screening is done, the suitable candidates can be called for further process for a post in a particular company.  If you are in the search of the Best Career Consultancy in New York,  you can definitely go ahead with the platform of Macrochallenges.

[techtalkbusiness]

How an AI Powered Resume Parser Platform Can Help Your Enterprise

The parsing of resumes — manually sifting through hundreds of resumes to make note of the most relevant bits of information – is the most time-consuming component of the recruitment process. This leads one to wonder if there is a method to automate this process so that the Recruitment team can spend more time and effort on more vital responsibilities. The fact is that, owing to automated resume parser software, recruitment teams in new age businesses have reason to rejoice. When it comes to resume parsing, however, the most important issue is accuracy, and this is something that cannot be overlooked.

The Digital Resume Parser, on the other hand, is a solution from The Digital Group that ensures the speed and precision of the resume parsing process.

How a Resume Parsing Platform Works

A powerful AI-based resume parser software provides an automated solution for extracting intelligent data from candidate resumes, freeing HR and Recruitment teams from the time-consuming human data extraction process. By automating the data extraction, processing, and storage processes, the team saves time and effort. The data is extracted and converted into machine-readable formats.

The resumes that the hiring team receives come from a range of sources and in a variety of formats. This is a challenging situation, but the AI platform will learn to detect different types of resumes over time in order to enhance efficiency. A resume parser platform, such as Digital Resume Parser, extracts important information from resumes while also categorising it into predefined categories.

A resume parsing platform allows users to upload resumes into your applicant database in a variety of ways.

You can import a single resume from your PC to parse the candidate profile and add it to your database. You can also import, parse, and add resume data from the configured Outlook mailbox to the candidate database with a single click using the DRP Outlook Add-in.

Bulk Import of Resumes

Learn how to import a large number of resumes in a short amount of time. To fill your candidate database, start sourcing new applications or use existing résumé files. You can send the DRP API as many resumes as you like, and it will parse them all in no time!

Verification of Redundant Record

A resume parsing platform includes a resume data extraction tool that aids in reducing redundancy. When you import a résumé, it's possible that the applicant information you're looking for is already in your candidate database. Tell DRP if the duplicate resume should be overwritten or added as a duplicate record. Bulk Import and the Outlook Add-in for parsing candidate resumes are two more time-saving options.

If you are looking for faster and accurate resume parsing, visit the website of Digital Resume Parser. It is a platform that will help you make the recruitment process faster and more efficient.

[rposervices]

Four Tips to Tackle Unconscious Bias In Recruitment

Creating a diverse workplace should be at the top of mind for businesses of all sizes. A diverse workplace includes employees with remarkable thoughts and backgrounds in the world. The decision to hire a candidate would be based solely on their skills and ability to perform. Bias occurs when a person's brain makes a quick judgment based on a person's experience and background. Even the recruiter often doesn't know that he/she is making such a quick biased decision.

To remove bias from your recruitment process, you must recognize a situation from where bias can popup, which can transfer through a variety of powerful non-human solutions: Technology. Recruiters should always keep asking the question: Is my recruitment process biased? Doing so will naturally improve your hiring process and promote diversification. I have seen unconscious bias occurring in multiple organizations when recruiters pay more attention to favouritism. To create diversification in the workplace, blind hiring is an effective concept to adopt. I am adding a few tips to keep in mind about promoting diversification.  Job Description: Job description is the beginning of your recruitment process. It has the power to influence potential job applicants with its content. When it comes to drafting the perfect job description, the gender implication of words can have a significant impact on the recruitment process. The term which focuses on competition over support and commitment seems to be far less attractive to female candidates. Limiting the number of superlative words and perspective on a job application will support far more potential employees to submit their duties. Choosing the Right AI Solution: AI is taking the recruitment world by a storm for a good reason. It makes the hiring process faster by removing repetitive tasks and simplifies the recruitment process. AI brings systematization in recruitment with numerous software; one of them is resume parser. With the introduction of resume parsing, sorting of resumes is a smooth breeze. It extracts candidate data from resumes and saves it in fields created for skill, experience, contact details, education, etc. You can also enable/disable fields as per your requirement to avoid bias in recruitment. Now you can disable fields that can bring bias in your hiring process. Sometimes, selected candidates do not join the organization due to some reasons. In this case, using matching technology will give you a similar resume and job recommendations relevant to resumes/jobs. This automation saves time for recruiters and fastens the recruitment process. The combination of technology and human resource is changing the working of recruiters and proving to be beneficial for the candidates. This enhances the efficiency of the organization. Predictive Data decision:Data analysis has become an essential part of all business activities. An analysis of the candidate’s performance and career alignment, along with the skills, helps employers in finding the right fit. Through data-driven predictive models, companies can solve long-standing problems. Predictive data helps the company to stay proactive, assessing the candidate behavior through actual data, and removing bias from the recruitment process. With this process, the result will be extraordinary and informative. Structured Interview: When recruiters conduct informal interviews, they will confront unintended bias. The structured interviews are more effective at reducing hiring bias than a non-structured interview. Without having a set of structured questions for candidates, bias will creep into the interview process. Recruiters should structure interview questions that should be consistent among every interview. Secondly, the interviewer should complete the follow-up process like completing a scorecard, feedback tool so that recruiters can assess each candidate's performance. These scorecards will help recruiters to rank candidates objectively. Structured interviews will level the playing fields of all candidates and make it easier to evaluate each candidate. Recruiters can ask for feedback from their candidates to explore how the candidate experiences the whole interview process. By giving such kinds of different experiences to every candidate, you are not leaving any room for inherent bias to take over. I usually feel that conscious bias hinders the growth of an organization. However, we must remove that unconscious bias, which can also become a massive barrier to having better productivity. Read the full article

[hsplmkting]

Workplace digitization for improved employee experience

According to the Governance Studies at Brookings report, millennials will comprise more than one of three adult Americans by 2020 and 75% of the workforce by 2025. This is the new workforce whom companies are going to target and search the best candidates from. They are more digital, more global, more diverse, and technology savvy. There are many enterprises namely Google, Microsoft, Deloitte, and T-Mobile who are successfully implementing gamification activities in the workplace to drive positive change, outcomes, and enhance employee experience. To give you an example, Google has incorporated a travel expense game that focuses on employees that travel a lot. They are encouraged to keep track of their travel expenses related to the business trip. The employees feel motivated because every penny that they save from spending that is officially allocated for the business trip is then paid back to them as an addition to their salaries. Isn’t it a great initiative to keep employees interested and performing at the peak performance using gamification in the workplace?

Here are some ways for HR to generate growth in business; to attract, develop, engage and retain such talented people by adopting digitization in the workplace for below mentioned HR functions.

Job Application and Tracking:  Earlier it was difficult to reach out the right candidates. Job postings were rolled out by announcements on a local newspaper, postings at the local employment office, etc. Also, it was also difficult to stay connected with the deserving candidates and keep them engaged. But, digitization of this entire process has helped in transforming the recruitment workflow. Organizations can start posting jobs using online recruitment marketing portals. This will help in attracting many candidates and drive them to apply for your open job positions. Organizations give candidates the liberty to submit their LinkedIn profile or ask them to fill up a short application form, etc. If organizations have an Applicant Tracking System (ATS) in place then candidates can check their application status anytime and from anywhere, this will help in improving the candidate experience. There are various other ways where the recruitment process can be digitized using a chatbot based pre-screening method, shortlisting resumes from drives, sharing job updates and status on mobile via SMS or emails, etc.

Interviews: Video interviews have improved experience for the interviewer as well as the job applicant. These have resulted in saving valuable time, resources, and streamlining the hiring process. Nowadays, many organizations are looking forward to hire remote hiring and video interviews are the best way to show off their abilities. The recruiters can always check the tech savviness of the candidate, observe their body language and nonverbal cues, etc. This video call can be recorded and its transcript can later be used in the automated resume parser which will later help in deciding the right candidate for the open job position.

Onboarding: There is a strong need to set the tone right from the start when you are hiring an employee. You can start by automation of compliance related work such as online paperwork, finishing up the formalities, sharing videos about the company culture and employee engagement, etc. Organizations are having a common platform where new hires and current employees can talk, share, and discuss new topics. This gives the new hires to interact with other employees and share their ideas and they can quickly feel as a part of the workplace. Organizations can also have an onboarding app that will provide all the information over mobile. This will give access to new hires on mobile and they can read documents, watch videos, etc. on the go.

Learning & Development – Gamification technique is being adopted in corporate training. It’s been observed gamification of training courses has increased the engagement of the learner with the learning material. After getting this satisfying experience, gamification encourages learners to apply their learning on the job which helps the organization in achieving business and also keeping employees engaged. There are Learning Experience Platforms that incorporates personalized learning, virtual reality, and AI-based chatbots as well. LMS vendors are now moving towards adopting LXP like features to provide the learners modern, data-driven, self-directed learning which is unique for each individual.

Rewards and Recognition (R&R) – Offering rewards and recognitions drives continuous improvement and operational excellence within the organization. Organizations can give R&R in terms of spot recognition, personalized awards, and social recognition. Spot recognition will benefit the employees at the moment and give them monetary benefits. Personalized awards can comprise of digital gift cards that can be used at different online portals. Social recognition is where you create an organization’s Facebook page or LinkedIn page where you can announce the achievements of the employees.

It has been observed that many organizations are embracing change and technology to improve their employee experience, workplace culture, and make a positive impact on the workforce. There are various functions that can be automated by using chatbots or virtual assistants. With the adoption of digitization, organizations are nurturing employee experiences that are more engaging, respectful and rewarding. We would like to hear from you on how you go about digitizing employee experience in your workplace.

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Expert Opinion: Solving Unconscious Bias in Recruitment

Unconscious bias. Is this affecting your recruitment process?

I am sure you must be looking for a solution to this challenge. Our nature makes us like people who are just like us. This process is unconscious. We do not do it intentionally.

To add diversity to your organization, removing unconscious bias is the priority.

We asked three experts from the HR Tech industry about their opinions on why unconscious bias should be removed from the recruitment process.

Simon Oldham Co-founder/President QJumpers “Hiring should always be based on merit. We know that unconscious bias exists in every person, and this means that often, the right person does not get the job. The problem with some of the AI algorithms is that they use previous hires, which have been recruited through unconscious bias, as a learning mechanism. This leads to biased hires as happened at Amazon. To remove the bias, you need to remove all biased data sets from the algorithms. For example, you can determine what skills and experience are required in a job by using natural language processing and machine learning. The same technology can then be used to review a resume. Using matching technology, a non-biased match is achieved.”  

Ryan Naylor CEO/Founder VIVAHR "Hiring and recruiting is no place for discrimination or bias based on anything other than the ability to perform the job at hand while making a positive impact on the organization. Unfortunately, unconscious bias is just that. "Unconscious." Here is one way you can eliminate bias in your HR technology software: Gender-neutral resume review - encourage your ATS administrators to turn-off candidate photo inclusion. Many times, there is a default to enable the software to associate the applicants’ email address with a social media footprint, and it can import their photo into the ATS."  

Alok Nidhi Gupta Managing Director TalentRecruit Software “Advanced Recruitment Platforms feature data-driven algorithms that can rank and match candidates to the jobs based on qualification, merit & skills. Yes! Skills! This eliminates the general bias faced by those talented individuals who miss out on opportunities due to their Ethnicity, Religion, Gender, Appearance, or other factors that cloud the judgment of a recruiter or interview panelist. Now that Machine Learning & AI in Recruitment Technology has moved out of its infancy; it has become imperative for organizations to adapt to these tech advancements and use them efficiently to hire diverse talent. Tech platforms like TalentRecruit are going to be the clear differentiators, especially for mandates where the organizations hire to establish an employer brand centered on equal opportunity.” Imagine if technology shows its magic and gives you an unbiased hiring process! A resume parser has the potential to hide biased data while parsing resumes. This data can be about age, gender, religious and political faith, marital status, candidate image, etc. Also Read: RChilli Promotes Unbiased Recruitment with its Configuration Feature There is a lot more a parser can do to deal with this issue. Reach out to me to know more. Source: http://bit.ly/2ZmI8Gn Read the full article

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How AI helps HR?

Artificial intelligence is the buzzword these days. According to IDC, by 2020, the AI market will grow to $47 billion influencing in every business sector. HR industry has also started using this fast-paced technology to simplify its operations. A common scenario in an HR department is that managers are engrossed with day-to-day activities. This includes screening candidates, taking interviews, making salaries, dealing with various compliance issues, managing internal communication and much more. Technology makes sure that HR managers and professionals start doing smart work by saving their time and efforts. The routine management tasks tend to become monotonous and can be completed by AI in a go. How AI helps HR? Recruiting Recruitment is one area, the scope of which can be enhanced and improved through automation. There are number of software which helps recruiters find the best fit for their company. Chatbots are an amazing source of interaction which helps candidates learn about the company where they would like to apply for a job. There are many scenarios in the recruitment process where technology plays an important role. A resume parser helps in screening the right candidate by extracting data from resumes and putting it in pre-designed fields. This helps the recruiters to shortlist candidates according to the requirements. A step ahead in automation is providing relevant matches to recruiters. This is done through Semantic search and match. There are intuitive software which provides similar resume recommendations matching a resume or job. Thus, an employer need not search for more resumes if he is not satisfied with the resume selected initially. Old database is usually of no use for employers. However, you can enrich your resumes by adding new and updated information in them. Resume enrichment is a fantastic recruiting tool which fetches candidate information from their social media profiles. An Enhanced Performance Review Managers spend a lot of time in creating performance reviews. NLP has taken this process to a new level. Employee data can be kept at one place which is easy to manage. An employee’s work can be easily reviewed by the system and a project or a new task can be suggested according to his profile. Thus, HR managers do not need to spend time collecting data, devising strategies and reviewing the performance of employees. All these activities can be done through a single click. Functions like a Human Professionals fear that artificial intelligence will take up all our jobs within a few years. But this is just a myth. Technology will not eliminate human intervention rather it will make it more humanized. This can be explained through an example: A company needs a leader for a project. The system checks data of internal employees and finds potential fits. HR manager selects an employee for the new task and the system informs the employee about his promotion. In case, there is a need to undergo training, the employee is asked to fill an application for attending the same. Recognizing Emotions The face of HR is changing with the course of time. Employers are working with the belief that an engaged workforce delivers excellent results. HR managers create strategies and organize activities to keep the staff in high spirits. They are concerned about the emotions of their employees and technology can surely help to assess the same. Time is not far away when facial recognition technology can tell what affects the mood of an employee. It will prove to be very useful for managers who can create strategies to keep their employees happy. Less Human Bias Recruiters are sometimes criticized over hiring candidates of their choice or someone who is known to them. As automation will screen candidates based on their skills and experience, there is less chance of being biased towards an applicant. This gives candidates an equal chance of competing against merit. Thus, automation reduces chances of favoritism. AI has created ripples in the HR industry. It is a fact that more intelligent HR solutions will be created when technology is combined with human efforts. It can create more happy workers and a happier workplace. Thus, debunk the myth of losing your job to technology. It will rather make you more productive and ensure quality results. Read the full article

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Replace your existing resume parser with intelligent skill extraction engine based on NLP

http://blog.harbinger-systems.com/2018/06/replace-your-existing-resume-parser-with-intelligent-skill-extraction-engine-based-on-nlp/

AI provides an ability to interpret candidate resumes using custom NLP (Natural Language Processing) engine. Know how NLP can add much-needed human-like interpretation abilities to resume parsers and recruitment products