Accurate HR data capturing with AI
Increase workplace efficiency and decrease business costs with automated data capturing
Integrating artificial intelligence (AI) and machine learning seems to be gaining popularity in HR data capturing and analytics these days. Adopting AI can help human resource leaders to predict the impact of talent decisions, forecast employee turnaround and identify high-potential employees, not to mention reveal engagement issues, recommend learning courses and so much more.
Artificial intelligence has changed the way we work in many ways, including data capture. We know that automated data capture technology can increase workplace efficiency and decrease business costs. But intelligent capture, which uses AI and robotic process automation, can bring even more benefits to many enterprises. Time spent on manual tasks is minimized to the point where you can feed a batch of different invoices into a scanner, step away, and let a computer file and prepare them. This frees up time for employees to focus on higher-value tasks, instead of processing documents and invoices manually.
This capture software is intelligent and only requires the right information to get the job done, regardless of format, size, symbols or language.
Artificial Intelligence represents HR with a fantastic opportunity.
While HR is not known for pioneering growing technologies, Artificial Intelligence represents HR with a fantastic opportunity. The need for HR technologies has brought AI to the forefront of innovation in HR. From accurate HR data capturing, recruitment to employee engagement, and human resource management, AI has the potential to completely transform HR.
But beware… before just buying the latest gimmick on the market it’s important that HR buyers have a strong grasp of what constitutes true AI and machine learning. Even though many organisations are attracted to the automation process that AI offers, they could be disappointed with the results if they don’t first work on improving their own ability to evaluate, build and deploy AI applications correctly.
Here are some of the key uses of AI in recruiting:
- Candidate sourcing
- Lead nurturing
- Candidate screening
- Interviewing
- Hiring Process
- Onboarding
Accurate HR data capturing with AI
How does AI help in HR?
Administrative Support
Helps save time
AI-based tools can help save time and improve productivity for HR managers, as well as improve the employee experience. AI can take over repetitive, time-consuming tasks for HR, so that staff can focus on more complex assignments.
Training and Skills Development
Helps create personalized career paths
With the rise of learning analytics, training techniques are evolving. Data on learners’ acquisition of knowledge and level of understanding can be used to tailor suggestions for skills development. Turning the training from acquiring business skills to customising career paths.
Motivation and Social Impact
Helps towards a better understanding of commitment
AI creates opportunities to identify employees who are at risk of resigning or help improve the understanding of the social phenomena within companies.
Accurate HR data capturing with AI
How accurate data capturing provides benefits for the entire organisation
Accurate data capturing with AI is the process of identifying and extracting critical information from incoming paper and electronic documents without extensive guidance from a user. When leveraged in combination with content management or business process automation software, organisations can use the extracted data for digital routing and delivery of relevant documents.
Accurate data capturing enables organisations to overcome several challenges caused by manual data entry, providing benefits like:
- Augmented security
Ensures content is routed to the correct directories at the earliest possible point and guarantees that only individuals permitted to access that content can. It also provides quicker and more consistent deployment of security procedures on all inbound content, safeguarding against costly data loss and security breaches.
- Enhanced collaboration between remote workers
Significantly reduces your business’ reliance on a shared location and work hours by enabling dynamic interaction between geographically distant employees.
- Reduced overhead and increased efficiency
Frees up human resources formerly used for manual data input and processing to perform other critical business tasks.
- Simplified compliance
Links to content that helps to create an audit trail that assists in compliance with government regulations and maintains precise retention of records and other sensitive data.
That’s the kind of intelligence that can help HR professionals and their organisations;
work smarter.
Accurate HR data capturing with AI
3 ways AI is changing data capture
With intelligent capture software, you teach the AI-driven engine to perform a data entry task. The AI will quickly pick up on contextual information and learn to interpret patterns and features in different document types invoices vs. transcripts, as an example. This system provides an extra layer of protection against data duplication by employees.
Intelligent data capture has been a game changer in three major tasks i.e. classification, extraction, and validation.
Classification
Classification (or document sorting) allows the software to recognize different types of documents after inputting variations and examples. Machine-learning can result in high document classification with less manual effort.
Extraction
AI can help with data extraction in semi-structured and unstructured documents, including handwritten forms. AI can understand context, so there is usually a high degree of accuracy in extraction.
Validation
Artificial intelligence is extremely helpful in tasks like matching a line item in an invoice with information stored in another system, in order to validate the data that was extracted from the document.
Validating precise matches was once the job of a patient employee, but by minimising this type of work, employees can now focus on more strategic tasks, driving efficiency and minimizing business costs.
Accurate HR data capturing with AI
Data quality and restricted quantity
While HR technology has made real-time data available to businesses, there are still many that rely on manual methods to draw insights from data. A task that is often left to end users or data analysts. Unfortunately, more often than not, this creates a bottleneck when trying to draw insights, which in turn causes delays. Decisions regarding outdated information are also a concern, this is where AI can help HR teams extract insights from data and deliver recommendations in real-time.
Data is the key ingredient for AI to function optimally, and its quality is of paramount importance. If the data injected isn’t good, the results will be distorted or vague at the very least.
Algorithms are only as good as the data sources that they rely on.
The quantity and quality of data need to be considered, as well as how to embed it in a context and time interval that encourage analysis and decision-making.
The visionAI Suite
The real value of accurate data capturing with AI
Using intelligent data capture software not only has obvious benefits, but also eliminates the need for guesswork in setup and programming. It’s important to note that the goal of AI-driven data capture is to automate as much as possible with machines that can carry out tasks intelligently, rather than to replace people entirely.
Ultimately, people are freed from mundane tasks and can take on high-value tasks that require a human thinking to do well.
The challenge is not to sacrifice managerial methods but to capitalize on advances in technology to encourage a holistic, innovative vision of the HR function where AI will definitely play a larger role in the future, especially for analysing predictive data.
