How AI Is Shaping The Future Of Employee Engagement?

Data science, Learning

How AI Is Shaping The Future Of Employee Engagement? – Source analyticstraining.com

Artificial Intelligence (AI) has been a hot topic of debate and is gaining staunch proponents across industry segments. The technology has been in the trend for the past few months and with each passing day, advancements are bringing out new use cases for manufacturing, finance and journalism domains. Of late, AI is being seen as an effective tool for boosting employee engagement and improving the way people are being recruited, trained and retained in organizations around the globe.

Engaging Employees: The Struggle Is Real For Organizations

Employee engagement encompasses creating a holistic environment that promotes role clarity, skill development, recognition and mental health. In the recent times, companies have been trying to find out ways to monitor, manage and improve metrics associated with employee engagement.

In the past few years, the significance and impact of deeper employee engagement on business profits and growth have been studied in detail. Though a direct relationship has been established between the two, organizations have struggled to create a holistic employee engagement program for years now.

Prior to artificial intelligence, the methodologies adopted to boost employee engagement have not shown desired results. On-the-job surveys, board-room committees, data analysis and half-baked concepts have been criticized for long as they do not elicit proper responses and real solutions. Artificial intelligence has really empowered organizations to tackle the engagement challenge, efficiently.

Artificial Intelligence: Creating Phenomenal Engagement Opportunities

As per a study by McKinsey Global Institute, global organizations have invested approximately USD 40 billion in Artificial Intelligence technology in 2016. While a major part of this investment went into research and development, about 10% was pushed towards the implementation of AI technologies towards improving operations and boosting engagement.

Artificial intelligence has shown a great promise and can turn things around when it comes to employee engagement. Using artificial intelligence powered solutions, organizations can:

  • Engage remote and on-site employees effectively
  • Provide round the clock assistance and support
  • Monitor organization-wide performance in real-time
  • Smoothen learning and development activities
  • Streamline conflict resolution

Artificial Intelligence Driving Organic Engagement

Technology has always been a great facilitator for change and improvement in the corporate landscape. Artificial intelligence, too, has boosted the scope of employee engagement through advanced sentiment analysis. Powered by natural language processing text analysis and other allied AI innovations, technology is making it easier to gather insights into employee behavior. Through deeper analysis of email conversation, biometric data, companies are finding it easier to promote a sense of belonging, identify red flags and create an engaging environment around.

Data-driven insights with close monitors and predictive sentiment analysis can further spark interest through recommendations that spikes employee interest levels. What it means for an organization, let’s see in the next paragraphs.

  • Work Culture Improvement through Behavioral Stimuli

In a world of social media where actions are triggered through virtual motivators such as ‘views’, ‘likes’ and ‘comments’, artificial intelligence can create immersive work culture through stimulus and nudges. Blending behavioral science with insights gathered through AI, organizations can drive a larger change towards creating a better work culture.

Such initiatives can remove traditional biases and create a neutral work environment where employees are rewarded for the work they do. For example, managers can actually get assistance from artificial intelligence in recognizing trends that have promoted an environment of unconscious bias because of his/her pre-conceived notion about a subordinate. By understanding attitudes and behavior, changes can be implemented to promote a collective work spirit.

  • Greater Skill Development through Focused Learning & Development

With the help of AI-powered data analytics, management can develop a structured training program based on a case-to-case basis. Aligning the training programs with an employee’s personality and learning quotient, a better correlation can be achieved among learning program, employee efficiency and engagement.

AI can be used to create adaptable learning courses that can help employees in real time and keep them hooked to everything they do at their job. AI as a service can also be used as a training instructor in case of computer-driven learning programs that will also bring down learning and development costs.

  • Enhancement in Team Collaboration Efforts

AI can be used to create teams where individual skills and behavior will complement for taking the organization to a greater glory. Using machine learning and predictive data analysis, management can identify employees who can work well together and drive engagement because of a cohesive work environment.

Efficiency in teamwork can be effectively achieved by creating elaborate team structures and hierarchies that consider personal abilities and complementing skills. Artificial intelligence technology will make the team building exercise fulfilling and drive better collaboration throughout an organization.

  • Leaner information sharing and access for higher productivity

One of the greatest challenges an employee faces is the abundance of information and documentation on a particular topic while on the job. With the help of AI and NLP, it will be easier to locate relevant information by infusing context through AI-powered chatbots.

Communication and collaboration can improve, as computers will get better at understanding the needs of the employees by learning patterns, over time. This will help organizations in becoming more agile as employees will access the information faster and work better towards achieving objectives.

  • Predictive analysis will speed up intervention process & solve engagement issues in real-time

Instead of relying on an annual system to monitor professional satisfaction and performance appraisal, AI can help management in understanding what is working and what’s not. By analyzing employee communication in real time, companies can perform sentiment analysis to gauge an employee’s state of mind.

Such insights combined with predictive analysis can help determine engagement levels and take steps in real-time to solve engagement issues, reduce the attrition rate and boost employee productivity.

Artificial intelligence will be the driver of change and improvement of workplace culture in the coming future. The rise of AI will transform how organizations will manage employee engagement. With the capabilities offered by AI & NML technologies, companies will get better at recruiting and engaging employees for long term. Algorithms and predictive analysis will pave way for better understanding of human behavior that can drive decisions in favor of improved engagement metrics. It will be exciting to see how soon global companies understand the trends and possibilities of AI and implement the technology in recruitment, learning and development and grievance redressal.

The post How AI Is Shaping The Future Of Employee Engagement? appeared first on Analytics Training Blog.