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A.I.: The Newest Technology Being Used in the Hiring Process


Listening is fun too.

Straighten your back and cherish with coffee - PLAY !

 
 

getting_started_with

Visual Studio 2019 was published on April 2nd, 2019. It is an integrated, absolute solution including development tools, cloud services and extensions that empowers you and your team to develop great applications and games for desktops, the web, Windows Store, Android and iOS. There are so many advanced features that will be involved in this version which help the .Net Web Development companies in delivering effortless, reliable, secure and efficient developments.

Table of Content

 

Whether you are fresh to coding or prepared for your next project, Visual Studio 2019 rationalizes your experience so you can get right down to engrossed work. You will search more screen space for your code and you can search for anything from one space. You can track your tidy code with one-click code clean-up. When you are debugging, you will observe better striding performance and you will get search abilities within the Locals, and Watch windows to swiftly find that evasive object or value.

Visual Studio 2019 impulsively downloads updates in the background while the developer’s computer is indolent, thus ensuring pursued utilization until it is time to install. Developers only require to hold back during the sincere installation. A single-project experience has been appended for incorporating and debugging ASP.Net Web applications and console applications for .Net Core. For container and web development, Visual Studio Kubernetes tools are consolidated into the Azure development burden. It is now simpler to work with Python environments, with enhanced support for Open Folder workspaces manipulating a new Python environment selector toolbar. Tool windows such as Toolbox, Breakpoints, and Call Stack is able to contribute acutely across monitors with various scale and display configurations.

It is effortless to clone a git repo or open a subsisting project. It is also simpler to initiate a new project through augmentations create to the template selection screen.

   

For more details, let’s dive deeply into these advanced features

Latest user experienced start window

Below is an image of the visual studio 2019, where you can review the new start window. It consists of so many enhance featured options such as Check out the code, open a project, open a folder and create a new project.

step_1

 

Visual Studio Live Share

The Live Share feature is a developer service in Visual Studio 2019 which directly enables to share code context and debugging process with your teammates and get live access within Visual Studio itself like Google document services.

step_2

 

step_3

 

Enhanced Refactoring

Refactoring in any IDE will extremely helpful for developers. In Visual Studio 2019, these refactoring will emerge with new advanced features, and these are used to assemble your code in a structured manner.

These refactoring will show the implications in the light bulb icon and holds steps like moving members base class and interface, make changing the namespaces to fit the folder structures.

Strengthen search experience

An updated search box is one of the useful features in Visual Studio 2019. In an old version, it was known as Quick Launch. The new search experience in Visual Studio 2019 is quicker and works productively for getting the best results. This is an enhanced feature in the current edition of IDE’s compared to previous versions. The Search Deeper function has been modified to a dropdown for swiftly determining the profundity of initial and ensuing searches.

The search results will show the suggestions as you type in the search box, and it will vigorously present the results.

Debugger advancement

By default, the search is accessible for three hierarchy level. As composite objects have an extensive hierarchy, more than three, so that can also be configured using Settings icon in Autos, Locals and Watch window.

Delivery model for SQL server data tools

The new data delivery model is obtainable in Visual Studio 2019 to expand SQL related projects like server-side based applications, analysis services projects, reporting services projects, and integration services projects, etc.

In the previous version, these extensions are available in the form of standalone installer type and now this delivery model will be available in the form of extensions called analysis services and integration services extensions. These features will be directly achievable with built-in workloads of Visual Studio 2019.

Per Monitor Aware Rendering (PMA)

Visual Studio 2019 discover a PMA (Per-monitor aware) application. This will show output correctly without rendering anything disregard of scaling factors of the display.

In an old IDE edition, if you will work with monitors that were installed with various type of display scale factors, and these are interconnected remotely with a machine to show the different scale factors that are apparent from the primary device, but those results appear blurry or render with wrong scaling factors.

step_4

 

Confederated code reviews in development

This feature is only obtainable to Azure Repos, and soon you can expect the support from GitHub. If anyone wants to use this extension for development, then you can easily download from Visual Studio Marketplace.

 

Planning to Hire an ASP.Net C# Developer ?

Your Search ends here.

 

Microsoft designs a brand-new extension, called Managed Pulled Requests (PRs) and using this extension, you can run the code and debug your team’s pull requests without terminating the Visual Studio Application.

One clicks code clean-up

This command in Visual Studio 2019 enables us to save collections of fixers as the default profile to detect the warnings and suggestions with the one-click button.

Code clean-up will help to format the code and make the modification into the coding format suggested by. editorconfig files and settings.

step_5

 

Search feature while in debugging

In Visual Studio 2019 penetrating while debugging is added Locals, Autos, and watch windows used to find the values and objects.

Debugging is the process to recognize errors and to eliminate those errors in software. Searching objects and suitable values while debugging process is very useful for the developers.

Efficient Search

This module is devoted to the developer's potentiality. The new search is qualified to search almost everything like menus, commands, alternatives, installable elements, Packages, project code, and Online as well.

step_6

" } }, "description": "Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before.", "articleBody": "

Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before. Interestingly enough, it has become more prominent in the recruiting process as it can help companies look for candidates, eliminate biases in the hiring processes, aid in interviews, and assist in the onboarding process as well.

Table of Content

  1. 1. Initial Recruiting
  2. 2. Biases
  3. 3. Improve the Candidate Experience
  4. 4. Conclusion

So, let's take a look at the ways AI is changing the hiring process and ways it can increase the effectiveness of building a talent pipeline

Initial Recruiting

In recruiting, some of the more time-consuming aspects of the process can be weeding out the unqualified direct applicants. Once the list is initially narrowed down, screening applicants is the next step. This is one of the most time-consuming aspects of the recruiting process. Companies with a smaller internal recruitment team may struggle to review all applications and provide a fair, thorough application process and positive candidate experience. It all comes down to having, or not having, the bandwidth.

The benefit of utilizing AI in the recruiting process is that programs simply look through resumes and online profiles to identify the best prospects to bring in for an interview. Additionally, AI programs allow for personalized messages to be sent to a wide range of applicants by using mass email campaigns. Most human recruiters don’t have the time or capabilities to manually send out mass emails in the same amount that AI can do within the matter of seconds.

In terms of finding top candidates within an applicant pool, algorithms can go through a wide array of data and identify key elements that companies are looking for. Keyword search is used to compare the keywords found in an application and the occurrence of those words. Oftentimes candidates will alter their applications based on the job description to get noticed by AI better.

By using technology to narrow down applications, recruiting teams can then deal with a smaller group of candidates. This can help reduce time-to-fill and cost-per-hire, as well as help provide the best candidate experience. Additionally, keyword search optimization helps recruiting teams find better hires.

Read More: How Software Development Companies Can Improve Erp Systems With Ai Solutions?

Biases

Although Human Resource teams do not intentionally hire on a biased notion, or at least we’d like to believe they don’t, it’s almost unavoidable within the human process. Humans are biased by nature, as we make decisions based on our emotions. This makes it almost impossible to remain subjective when reviewing applications and interviewing applicants.

By using AI technology, applications can be reviewed based on pure data, rather than biased opinions. The keyword search tools as well as skills and experience listed either match up with what the program is looking for, or they don’t. It does not take into account any biases, just pure data and analytics.

While it is almost impossible to eliminate human bias, AI can help correct these biases and make the hiring process more fair. This type of recruiting could be beneficial for an industry that has the reputation of a lower female representation, such as within the Sports Betting industry. While a human recruiter might be more inclined to hire a male, the machine will just look at experience, either qualifying the applicant or disqualifying them.

Improve the Candidate Experience

Artificial Intelligence technology can enhance the candidate experience at every stage of the hiring process. One example is the use of chatboxes. When candidates have questions about the position they can simply send them to a chatbot that can answer their question in a period of seconds. This can be easier than contacting a team member via email or phone and then waiting to hear back. Although the questions may not be as in-depth as a human response, they are getting instant gratification and answers to simple questions such as position location, where to find the application, etc. More thorough questions can be saved for the first round interview.

Additionally, it can help schedule interviews and update candidates on the status of their application. By using automated calendar technologies, candidates can schedule an interview that aligns with the recruiter’s calendar as well as their own.

Online application portals can help show application statuses, as it’s not uncommon for decisions to be delayed especially if there’s a large candidate pool. This wait time can leave applicants anxious about the next steps and wonder if a company is simply disorganized, which is a reputation no business wants to have. The application portals can show where their application is in the process and automatically send out information on next steps once the decision is sent from the recruiting team

Planning to Hire Dedicated Web & Software Developer ?

Your Search ends here.

This technology can also be a big help within the onboarding process. Background checks and document gathering can be collected via AI technology as well as online training programs. Giving new hires the ability to complete online training remotely is certainly beneficial amid COVID-19 hiring, and can show company flexibility within your employer brand.

Conclusion

The impact of AI in the recruiting process has been felt throughout the last decade. Major companies like Google, Facebook, Apple, AT&T, Capital One, and Allstate are using AI throughout their interview process. Moreover, in a report from Deloitte in 2018, 42% of survey respondents believed AI would be widely used at their company within a three to five year period. 72 percent of executives think AI will provide important business advantages in the upcoming years, while a LinkedIn study found that 76 percent of hiring managers think AI will be somewhat important in the future.

While many might see AI as a threat to the HR profession, its success is more likely to help rather than hurt these professions. Its benefits are to simply reduce the time spent on repetitive tasks and give people within recruiting positions the ability to spend time on more valuable work.

Overall, it is hard to picture that this is just a trend as the potential of AI to save time in the recruiting process, reduce cost, improve the employee experience has already been shown and its capabilities will only become greater throughout the century.

" }

ai-Hiring-banner

Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before. Interestingly enough, it has become more prominent in the recruiting process as it can help companies look for candidates, eliminate biases in the hiring processes, aid in interviews, and assist in the onboarding process as well.

Table of Content

 

So, let's take a look at the ways AI is changing the hiring process and ways it can increase the effectiveness of building a talent pipeline

Initial Recruiting

In recruiting, some of the more time-consuming aspects of the process can be weeding out the unqualified direct applicants. Once the list is initially narrowed down, screening applicants is the next step. This is one of the most time-consuming aspects of the recruiting process. Companies with a smaller internal recruitment team may struggle to review all applications and provide a fair, thorough application process and positive candidate experience. It all comes down to having, or not having, the bandwidth.

The benefit of utilizing AI in the recruiting process is that programs simply look through resumes and online profiles to identify the best prospects to bring in for an interview. Additionally, AI programs allow for personalized messages to be sent to a wide range of applicants by using mass email campaigns. Most human recruiters don’t have the time or capabilities to manually send out mass emails in the same amount that AI can do within the matter of seconds.

In terms of finding top candidates within an applicant pool, algorithms can go through a wide array of data and identify key elements that companies are looking for. Keyword search is used to compare the keywords found in an application and the occurrence of those words. Oftentimes candidates will alter their applications based on the job description to get noticed by AI better.

By using technology to narrow down applications, recruiting teams can then deal with a smaller group of candidates. This can help reduce time-to-fill and cost-per-hire, as well as help provide the best candidate experience. Additionally, keyword search optimization helps recruiting teams find better hires.

   

Biases

Although Human Resource teams do not intentionally hire on a biased notion, or at least we’d like to believe they don’t, it’s almost unavoidable within the human process. Humans are biased by nature, as we make decisions based on our emotions. This makes it almost impossible to remain subjective when reviewing applications and interviewing applicants.

By using AI technology, applications can be reviewed based on pure data, rather than biased opinions. The keyword search tools as well as skills and experience listed either match up with what the program is looking for, or they don’t. It does not take into account any biases, just pure data and analytics.

While it is almost impossible to eliminate human bias, AI can help correct these biases and make the hiring process more fair. This type of recruiting could be beneficial for an industry that has the reputation of a lower female representation, such as within the Sports Betting industry. While a human recruiter might be more inclined to hire a male, the machine will just look at experience, either qualifying the applicant or disqualifying them.

Improve the Candidate Experience

Artificial Intelligence technology can enhance the candidate experience at every stage of the hiring process. One example is the use of chatboxes. When candidates have questions about the position they can simply send them to a chatbot that can answer their question in a period of seconds. This can be easier than contacting a team member via email or phone and then waiting to hear back. Although the questions may not be as in-depth as a human response, they are getting instant gratification and answers to simple questions such as position location, where to find the application, etc. More thorough questions can be saved for the first round interview.

Additionally, it can help schedule interviews and update candidates on the status of their application. By using automated calendar technologies, candidates can schedule an interview that aligns with the recruiter’s calendar as well as their own.

Online application portals can help show application statuses, as it’s not uncommon for decisions to be delayed especially if there’s a large candidate pool. This wait time can leave applicants anxious about the next steps and wonder if a company is simply disorganized, which is a reputation no business wants to have. The application portals can show where their application is in the process and automatically send out information on next steps once the decision is sent from the recruiting team

 

Planning to Hire Dedicated web & software developer ?

Your Search ends here.

 

This technology can also be a big help within the onboarding process. Background checks and document gathering can be collected via AI technology as well as online training programs. Giving new hires the ability to complete online training remotely is certainly beneficial amid COVID-19 hiring, and can show company flexibility within your employer brand.

Conclusion

The impact of AI in the recruiting process has been felt throughout the last decade. Major companies like Google, Facebook, Apple, AT&T, Capital One, and Allstate are using AI throughout their interview process. Moreover, in a report from Deloitte in 2018, 42% of survey respondents believed AI would be widely used at their company within a three to five year period. 72 percent of executives think AI will provide important business advantages in the upcoming years, while a LinkedIn study found that 76 percent of hiring managers think AI will be somewhat important in the future.

While many might see AI as a threat to the HR profession, its success is more likely to help rather than hurt these professions. Its benefits are to simply reduce the time spent on repetitive tasks and give people within recruiting positions the ability to spend time on more valuable work.

Overall, it is hard to picture that this is just a trend as the potential of AI to save time in the recruiting process, reduce cost, improve the employee experience has already been shown and its capabilities will only become greater throughout the century.

getting_started_with

Visual Studio 2019 was published on April 2nd, 2019. It is an integrated, absolute solution including development tools, cloud services and extensions that empowers you and your team to develop great applications and games for desktops, the web, Windows Store, Android and iOS. There are so many advanced features that will be involved in this version which help the .Net Web Development companies in delivering effortless, reliable, secure and efficient developments.

Table of Content

 

Whether you are fresh to coding or prepared for your next project, Visual Studio 2019 rationalizes your experience so you can get right down to engrossed work. You will search more screen space for your code and you can search for anything from one space. You can track your tidy code with one-click code clean-up. When you are debugging, you will observe better striding performance and you will get search abilities within the Locals, and Watch windows to swiftly find that evasive object or value.

Visual Studio 2019 impulsively downloads updates in the background while the developer’s computer is indolent, thus ensuring pursued utilization until it is time to install. Developers only require to hold back during the sincere installation. A single-project experience has been appended for incorporating and debugging ASP.Net Web applications and console applications for .Net Core. For container and web development, Visual Studio Kubernetes tools are consolidated into the Azure development burden. It is now simpler to work with Python environments, with enhanced support for Open Folder workspaces manipulating a new Python environment selector toolbar. Tool windows such as Toolbox, Breakpoints, and Call Stack is able to contribute acutely across monitors with various scale and display configurations.

It is effortless to clone a git repo or open a subsisting project. It is also simpler to initiate a new project through augmentations create to the template selection screen.

   

For more details, let’s dive deeply into these advanced features

Latest user experienced start window

Below is an image of the visual studio 2019, where you can review the new start window. It consists of so many enhance featured options such as Check out the code, open a project, open a folder and create a new project.

step_1

 

Visual Studio Live Share

The Live Share feature is a developer service in Visual Studio 2019 which directly enables to share code context and debugging process with your teammates and get live access within Visual Studio itself like Google document services.

step_2

 

step_3

 

Enhanced Refactoring

Refactoring in any IDE will extremely helpful for developers. In Visual Studio 2019, these refactoring will emerge with new advanced features, and these are used to assemble your code in a structured manner.

These refactoring will show the implications in the light bulb icon and holds steps like moving members base class and interface, make changing the namespaces to fit the folder structures.

Strengthen search experience

An updated search box is one of the useful features in Visual Studio 2019. In an old version, it was known as Quick Launch. The new search experience in Visual Studio 2019 is quicker and works productively for getting the best results. This is an enhanced feature in the current edition of IDE’s compared to previous versions. The Search Deeper function has been modified to a dropdown for swiftly determining the profundity of initial and ensuing searches.

The search results will show the suggestions as you type in the search box, and it will vigorously present the results.

Debugger advancement

By default, the search is accessible for three hierarchy level. As composite objects have an extensive hierarchy, more than three, so that can also be configured using Settings icon in Autos, Locals and Watch window.

Delivery model for SQL server data tools

The new data delivery model is obtainable in Visual Studio 2019 to expand SQL related projects like server-side based applications, analysis services projects, reporting services projects, and integration services projects, etc.

In the previous version, these extensions are available in the form of standalone installer type and now this delivery model will be available in the form of extensions called analysis services and integration services extensions. These features will be directly achievable with built-in workloads of Visual Studio 2019.

Per Monitor Aware Rendering (PMA)

Visual Studio 2019 discover a PMA (Per-monitor aware) application. This will show output correctly without rendering anything disregard of scaling factors of the display.

In an old IDE edition, if you will work with monitors that were installed with various type of display scale factors, and these are interconnected remotely with a machine to show the different scale factors that are apparent from the primary device, but those results appear blurry or render with wrong scaling factors.

step_4

 

Confederated code reviews in development

This feature is only obtainable to Azure Repos, and soon you can expect the support from GitHub. If anyone wants to use this extension for development, then you can easily download from Visual Studio Marketplace.

 

Planning to Hire an ASP.Net C# Developer ?

Your Search ends here.

 

Microsoft designs a brand-new extension, called Managed Pulled Requests (PRs) and using this extension, you can run the code and debug your team’s pull requests without terminating the Visual Studio Application.

One clicks code clean-up

This command in Visual Studio 2019 enables us to save collections of fixers as the default profile to detect the warnings and suggestions with the one-click button.

Code clean-up will help to format the code and make the modification into the coding format suggested by. editorconfig files and settings.

step_5

 

Search feature while in debugging

In Visual Studio 2019 penetrating while debugging is added Locals, Autos, and watch windows used to find the values and objects.

Debugging is the process to recognize errors and to eliminate those errors in software. Searching objects and suitable values while debugging process is very useful for the developers.

Efficient Search

This module is devoted to the developer's potentiality. The new search is qualified to search almost everything like menus, commands, alternatives, installable elements, Packages, project code, and Online as well.

step_6

" } }, "description": "Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before.", "articleBody": "

Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before. Interestingly enough, it has become more prominent in the recruiting process as it can help companies look for candidates, eliminate biases in the hiring processes, aid in interviews, and assist in the onboarding process as well.

Table of Content

  1. 1. Initial Recruiting
  2. 2. Biases
  3. 3. Improve the Candidate Experience
  4. 4. Conclusion

So, let's take a look at the ways AI is changing the hiring process and ways it can increase the effectiveness of building a talent pipeline

Initial Recruiting

In recruiting, some of the more time-consuming aspects of the process can be weeding out the unqualified direct applicants. Once the list is initially narrowed down, screening applicants is the next step. This is one of the most time-consuming aspects of the recruiting process. Companies with a smaller internal recruitment team may struggle to review all applications and provide a fair, thorough application process and positive candidate experience. It all comes down to having, or not having, the bandwidth.

The benefit of utilizing AI in the recruiting process is that programs simply look through resumes and online profiles to identify the best prospects to bring in for an interview. Additionally, AI programs allow for personalized messages to be sent to a wide range of applicants by using mass email campaigns. Most human recruiters don’t have the time or capabilities to manually send out mass emails in the same amount that AI can do within the matter of seconds.

In terms of finding top candidates within an applicant pool, algorithms can go through a wide array of data and identify key elements that companies are looking for. Keyword search is used to compare the keywords found in an application and the occurrence of those words. Oftentimes candidates will alter their applications based on the job description to get noticed by AI better.

By using technology to narrow down applications, recruiting teams can then deal with a smaller group of candidates. This can help reduce time-to-fill and cost-per-hire, as well as help provide the best candidate experience. Additionally, keyword search optimization helps recruiting teams find better hires.

Read More: How Software Development Companies Can Improve Erp Systems With Ai Solutions?

Biases

Although Human Resource teams do not intentionally hire on a biased notion, or at least we’d like to believe they don’t, it’s almost unavoidable within the human process. Humans are biased by nature, as we make decisions based on our emotions. This makes it almost impossible to remain subjective when reviewing applications and interviewing applicants.

By using AI technology, applications can be reviewed based on pure data, rather than biased opinions. The keyword search tools as well as skills and experience listed either match up with what the program is looking for, or they don’t. It does not take into account any biases, just pure data and analytics.

While it is almost impossible to eliminate human bias, AI can help correct these biases and make the hiring process more fair. This type of recruiting could be beneficial for an industry that has the reputation of a lower female representation, such as within the Sports Betting industry. While a human recruiter might be more inclined to hire a male, the machine will just look at experience, either qualifying the applicant or disqualifying them.

Improve the Candidate Experience

Artificial Intelligence technology can enhance the candidate experience at every stage of the hiring process. One example is the use of chatboxes. When candidates have questions about the position they can simply send them to a chatbot that can answer their question in a period of seconds. This can be easier than contacting a team member via email or phone and then waiting to hear back. Although the questions may not be as in-depth as a human response, they are getting instant gratification and answers to simple questions such as position location, where to find the application, etc. More thorough questions can be saved for the first round interview.

Additionally, it can help schedule interviews and update candidates on the status of their application. By using automated calendar technologies, candidates can schedule an interview that aligns with the recruiter’s calendar as well as their own.

Online application portals can help show application statuses, as it’s not uncommon for decisions to be delayed especially if there’s a large candidate pool. This wait time can leave applicants anxious about the next steps and wonder if a company is simply disorganized, which is a reputation no business wants to have. The application portals can show where their application is in the process and automatically send out information on next steps once the decision is sent from the recruiting team

Planning to Hire Dedicated Web & Software Developer ?

Your Search ends here.

This technology can also be a big help within the onboarding process. Background checks and document gathering can be collected via AI technology as well as online training programs. Giving new hires the ability to complete online training remotely is certainly beneficial amid COVID-19 hiring, and can show company flexibility within your employer brand.

Conclusion

The impact of AI in the recruiting process has been felt throughout the last decade. Major companies like Google, Facebook, Apple, AT&T, Capital One, and Allstate are using AI throughout their interview process. Moreover, in a report from Deloitte in 2018, 42% of survey respondents believed AI would be widely used at their company within a three to five year period. 72 percent of executives think AI will provide important business advantages in the upcoming years, while a LinkedIn study found that 76 percent of hiring managers think AI will be somewhat important in the future.

While many might see AI as a threat to the HR profession, its success is more likely to help rather than hurt these professions. Its benefits are to simply reduce the time spent on repetitive tasks and give people within recruiting positions the ability to spend time on more valuable work.

Overall, it is hard to picture that this is just a trend as the potential of AI to save time in the recruiting process, reduce cost, improve the employee experience has already been shown and its capabilities will only become greater throughout the century.

" }

ai-Hiring-banner

Artificial Intelligence has prospered over the years, with technological capabilities drastically increasing more recently. This technology has shown the potential to transform our daily lives unlike anything before. Interestingly enough, it has become more prominent in the recruiting process as it can help companies look for candidates, eliminate biases in the hiring processes, aid in interviews, and assist in the onboarding process as well.

Table of Content

 

So, let's take a look at the ways AI is changing the hiring process and ways it can increase the effectiveness of building a talent pipeline

Initial Recruiting

In recruiting, some of the more time-consuming aspects of the process can be weeding out the unqualified direct applicants. Once the list is initially narrowed down, screening applicants is the next step. This is one of the most time-consuming aspects of the recruiting process. Companies with a smaller internal recruitment team may struggle to review all applications and provide a fair, thorough application process and positive candidate experience. It all comes down to having, or not having, the bandwidth.

The benefit of utilizing AI in the recruiting process is that programs simply look through resumes and online profiles to identify the best prospects to bring in for an interview. Additionally, AI programs allow for personalized messages to be sent to a wide range of applicants by using mass email campaigns. Most human recruiters don’t have the time or capabilities to manually send out mass emails in the same amount that AI can do within the matter of seconds.

In terms of finding top candidates within an applicant pool, algorithms can go through a wide array of data and identify key elements that companies are looking for. Keyword search is used to compare the keywords found in an application and the occurrence of those words. Oftentimes candidates will alter their applications based on the job description to get noticed by AI better.

By using technology to narrow down applications, recruiting teams can then deal with a smaller group of candidates. This can help reduce time-to-fill and cost-per-hire, as well as help provide the best candidate experience. Additionally, keyword search optimization helps recruiting teams find better hires.

   

Biases

Although Human Resource teams do not intentionally hire on a biased notion, or at least we’d like to believe they don’t, it’s almost unavoidable within the human process. Humans are biased by nature, as we make decisions based on our emotions. This makes it almost impossible to remain subjective when reviewing applications and interviewing applicants.

By using AI technology, applications can be reviewed based on pure data, rather than biased opinions. The keyword search tools as well as skills and experience listed either match up with what the program is looking for, or they don’t. It does not take into account any biases, just pure data and analytics.

While it is almost impossible to eliminate human bias, AI can help correct these biases and make the hiring process more fair. This type of recruiting could be beneficial for an industry that has the reputation of a lower female representation, such as within the Sports Betting industry. While a human recruiter might be more inclined to hire a male, the machine will just look at experience, either qualifying the applicant or disqualifying them.

Improve the Candidate Experience

Artificial Intelligence technology can enhance the candidate experience at every stage of the hiring process. One example is the use of chatboxes. When candidates have questions about the position they can simply send them to a chatbot that can answer their question in a period of seconds. This can be easier than contacting a team member via email or phone and then waiting to hear back. Although the questions may not be as in-depth as a human response, they are getting instant gratification and answers to simple questions such as position location, where to find the application, etc. More thorough questions can be saved for the first round interview.

Additionally, it can help schedule interviews and update candidates on the status of their application. By using automated calendar technologies, candidates can schedule an interview that aligns with the recruiter’s calendar as well as their own.

Online application portals can help show application statuses, as it’s not uncommon for decisions to be delayed especially if there’s a large candidate pool. This wait time can leave applicants anxious about the next steps and wonder if a company is simply disorganized, which is a reputation no business wants to have. The application portals can show where their application is in the process and automatically send out information on next steps once the decision is sent from the recruiting team

 

Planning to Hire Dedicated web & software developer ?

Your Search ends here.

 

This technology can also be a big help within the onboarding process. Background checks and document gathering can be collected via AI technology as well as online training programs. Giving new hires the ability to complete online training remotely is certainly beneficial amid COVID-19 hiring, and can show company flexibility within your employer brand.

Conclusion

The impact of AI in the recruiting process has been felt throughout the last decade. Major companies like Google, Facebook, Apple, AT&T, Capital One, and Allstate are using AI throughout their interview process. Moreover, in a report from Deloitte in 2018, 42% of survey respondents believed AI would be widely used at their company within a three to five year period. 72 percent of executives think AI will provide important business advantages in the upcoming years, while a LinkedIn study found that 76 percent of hiring managers think AI will be somewhat important in the future.

While many might see AI as a threat to the HR profession, its success is more likely to help rather than hurt these professions. Its benefits are to simply reduce the time spent on repetitive tasks and give people within recruiting positions the ability to spend time on more valuable work.

Overall, it is hard to picture that this is just a trend as the potential of AI to save time in the recruiting process, reduce cost, improve the employee experience has already been shown and its capabilities will only become greater throughout the century.