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  • Writer's pictureRoland Votacion

Navigating the New Normal: AI's Role in Transforming IT Staff Augmentation

Updated: Nov 24, 2023

The staffing industry is rapidly changing, particularly due to developments in automation and artificial intelligence (AI) technology.

As the advancements in automation and AI technologies continue to bring transformational changes across different sectors, staff augmentation has been quick to embrace these technologies too. One of the most significant impacts of automation and AI in staff augmentation is on the recruitment and screening process.

In fact, according to a Predictive Hire poll 55% of companies are ramping up their investment on recruitment automation this year.

Let's delve into specific use cases that underscore AI's transformative role in staff augmentation.

Skill Matching with AI Technologies

Skill matching in the recruitment process has become increasingly sophisticated with the advent of Artificial Intelligence (AI) technologies. Three primary branches of AI are contributing significantly to talent matching: Natural Language Processing (NLP), Machine Learning (ML), and Predictive Analytics.

Natural Language Processing (NLP)

NLP excels at extracting valuable information from textual data. You can leverage this for a data-driven technique in screening resumes not only for basic details like candidate's name and experience but also in identifying key skills and qualifications relevant to the job.

According to Journal of Emerging Technologies and Innovative Research, applying NLP algorithms for resume screening is exceedingly precise, efficient, and adaptive as they can handle structured data such as resumes written in many languages.

Sentiment analysis, another feature of NLP, adds another layer to the recruitment process by assessing the tone and emotional undertones in a candidate’s resume. This can help hiring teams to gain deeper insights into the candidate’s personality and communication style. In essence, this can further help in determining cultural fit within the organization.

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Natural Language Processing (NLP)

Machine Learning (ML)

ML leverages computer algorithms to make predictions and draw connections from a wide range of data at high speed. These technologies are particularly useful in the different processes involved in talent acquisition such as job advertising, candidate assessment, and engagement as well as workforce planning.

For instance, the creation of predictive models for matching candidates with specific job requirements. Techniques such as clustering can help you rank candidates based on their qualifications, making it easier to identify high-potential applicants.

Moreover, recommender systems and distance-based algorithms can offer suggestions for the most suitable candidates based on the alignment of their skills and the job's needs.

Benefits of machine learning in tech recruitment include effective candidate sourcing, recruitment accuracy, and efficiency, as well as advancing diversity and inclusion in organizations.

Divided icons that separates the impact of Machine Learning
Machine Learning (ML)

Predictive Analytics

Using predictive analytics in IT staff augmentation helps recruiters understand various factors that can influence tech recruitment decisions such as predicting employee’s retention rates, forecasting performance levels, and candidate’s suitability for one’s company culture.

One example of predictive hiring technology is Koru’s “Impact Skills Assessment” tool where you can run a candidate fit score to identify and shortlist the best candidates. Another predictive analytics feature “Visier” claims up to 8x accuracy of predicting which employees are most “at risk” of resigning in the next three months.

In summary, these predictive tools assist recruiters by identifying areas where there's a lack of qualified talent or specific skills in the job market. This information is invaluable for long-term hiring planning. Additionally, the insights gained from these tools can help refine recruitment strategies, offering options to either automate certain processes or bring in temporary staff as needed.

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Predictive Analytics

Enhancing Candidate Experience Through AI and Automation

For a long time, the primary focus of automation in tech recruitment has been on streamlining IT staff augmentation processes for recruiters and hiring managers.

This is entirely understandable, as these professionals handle the nitty-gritty details, from sifting through piles of resumes to coordinating interviews. In this role, AI is seen as a tool that helps in improving efficiency, reducing costs, and enabling data-driven decisions.

However, focusing solely on operational benefits can sometimes overshadow the potential advantages that technology offers to candidates. So, let's pivot and examine how applicants experience AI-enabled recruitment.

Tips to Enhance Candidate Experience Using AI and Automation

1. Personalized Communication

Automated email responses don't have to be generic. By using AI algorithms that analyze a candidate's interaction history and skills listed on their resume, you can personalize communication to make them feel valued and engaged.

2. Real-Time Updates

AI chatbots can keep candidates informed about their application status in real-time, reducing the stress of waiting and uncertainty.

3. Automated Skill Assessments

Rather than asking candidates to come in for multiple rounds of interviews, you can use AI-driven skills assessment tools. These can be done remotely, saving both time and effort for the candidate.

4. Virtual Reality (VR) Office Tours

Give candidates a feel of the workspace by offering a VR tour. This way, they can assess if they'd be a good cultural fit without having to travel for an on-site visit.

A group of check icons.
Tips to Enhance Candidate Experience Using AI and Automation

How Dev Partners Navigate AI and Automation in IT Staff Augmentation

Dev Partners witnessed firsthand the transformative power of AI and automation in IT staff augmentation. As one of the pioneers in the field, we integrate cutting-edge AI algorithms and automation tools in our recruitment strategies. This innovation not only positions us ahead of our competitors but also equips us to offer our clients unparalleled efficiency and precision in talent matching.

Through the application of AI and automation, we can quickly sort through an extensive talent pool, ensuring that we recommend only top-tier candidates. This approach results in enhanced project success rates and heightened client satisfaction, reinforcing our status as frontrunners in IT staff augmentation.

For more information about how our IT staff augmentation services can help your business and other project-specific needs, contact us now.

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