How AI is transforming HR
AI-led HRIS systems like ours help impact larger business outcomes, while accelerating profitability.
The better you treat a job seeker, the more prone they are in building a brand reputation on your behalf. This is where AI has come as a game-changer to HR professionals.
Is AI integral to HR?
Key Use of AI & Machine Learning in HR
Detecting anomalies
Identifying events or items that fail to conform with expected patterns and other requisites in existing datasets
Background verification
Predictive models powered by machine learning extract deeper meaning 7 raise red flags at appropriate stages of screening of an applicant’s resume. It uses structured as well as unstructured data points to be able to do so.
Retain employees
Employees at high risk of attrition get identified, thus enabling HR to proactively engage with them to retain top talents.
Personalise content
Personalised employee experience using predictive analytics help recommend career paths and professional development programs. HR managers are thus able to optimize the application site based on prior applicant actions.
Image/Video/ Speech recognition
Deep learning algorithms are known to outclass humans when it comes to object classification. Objective data will help deep learning tools to identify and classify eligible candidates from amongst hundreds of pictures and videos
Chatbots
Chatbots are trained through Natural Language Processing to be able to understand human language along with the tone and context. This is a crucial capability for organisations who are already automating HR service delivery through chatbots.
Recommendation engines
Skill levels and professional interests dictate the personalized learning recommendations made through digital learning. Big data and deep learning are used by such platforms to identify learning pathways that are more disposed to trigger interest in individual employees.
Transforming HR
AI & Recruitment
HR technologies that use AI have helped make talent acquisition a more effective process for organisations – that too without error or bias in decision making that is prevalent with human involvement. AI systems are getting used to w=even write inclusive job descriptions, review the same, and then be embraced at a company-wide level. AI-augmented job descriptions are on their way to become commonplace in HR departments. Key use areas are sourcing and screening of candidates, interview and onboarding processes lead nurturing, etc.
AI & HCM
An AI enabled HR Software solution such as ours is helping organisations meet employee expectations. HR managers are able to reimagine talent processes in order to build even stronger teams while reducing employee turnover through enhancement of employee experience. Key areas of impact are performance management, workforce planning, people analytics, charting career paths, enabling virtual assistants for self-service of HR tasks, leadership integration, and coaching of talent.
AI & Bias Potential
The extraordinary power of AI keeps surpassing human abilities each day at a tremendous rate and has also made it possible to do away with certain bias potential that inevitably creeps in when individuals are processing resumes or conducting interviews. Softwares are getting equipped algorithms that can help managers screen applicant qualifications. These are devoid of gender-coded language which would normally steer away qualified candidates from diverse backgrounds. These algorithms are designed to help the machine avoid pitfalls.
AI & Employee Engagement
AI has fast become an important catalyst that defines how business interact with their employees. The feature-rich tools allow for a number of engaging conversational interfaces. Key areas of use include surveys, feedback platforms, rewards, and personalized texting.
AI & Employee Benefits
Automation through AI tools could help to ease implementation and subsequent management & administration of employee benefits. Chatbots could be used to disseminate information regarding compliance, leave management, appraisals, etc. With more and more people becoming adept at smartphone manouvres, getting a job done through communication with customer service has become easier and even preferable in cases where human involvement could lead to increase in time and cost. Key impact areas include personalization, automation, communication and compliance benefits.
