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6 Ways to use AI for employee upskilling

According to Joe HartAsCEO of the largest, oldest and most revered business skills training company in the world and author of the #3 WSJ best-selling book ‘Take Command AI presents a tremendous opportunity for a “leaps and bounds” enhancement on employee training — particularly as it relates to learning and development (L&D) “upskilling.” Continuous L&D is key for staffers to not only remain proficient at their jobs in a quickly-evolving marketplace (technology and otherwise), but certainly to keep performing at higher levels. AI can help workers remained trained on  leadership techniques to foster future advancement. According to Hart, here are 6 key applications of AI for employee upskilling:

1. Personalized Learning

AI systems can create personalized learning experiences for each employee based on their needs, preferences, and learning style. This helps increase engagement and retention of the information, making the learning more effective.

2. Adaptive Learning

Programs for employee training may have options to adapt a worker’s training on the spur of the moment. Dynamic and complex systems can adjust the difficulty, change up the sequencing of content, and keep employees learning at a steady pace.

3. Skill/Knowledge Gaps

AI programs can easily use simulations, automated grading, and adaptive questioning to test employees’ knowledge and proficiency at their work tasks and suggest customized learning solutions to help fill gaps.

4. Content Curation

When it comes to knowing what to study, AI programs can help curate content for workers for their particular needs. These algorithms can sift through thousands of articles and web pages to suggest only the most up-to-date and relevant sources for continued learning.

5. Virtual Assistance

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Workers learning and developing skills through AI programs might run into problems or questions. Other AI coaching can supply answers by way of automated chatbots or virtual assistants.

6. Data Analytics

AI programs are great for processing data—large quantities of it. When you look at the data from L&D activities, you can see where employee performance or knowledge is lacking the most. You can also see learning patterns and judge the effectiveness of the training.

Managers and learning and development professionals can build strong partnerships between humans and new AI technology by focusing on three key areas of development for employees: fostering resilience in the face of change, building an agile workforce, and recognizing and rewarding emotional intelligence.

Fostering resilience means overcoming obstacles, hardships, and failures that inevitably come with change. Recognizing and rewarding emotional intelligence means finding and training potential leaders and putting them in empowered positions to manage others. There are many benefits of artificial intelligence in learning and development—if you know how to harness them.

It is indisputably true that how AI will change the world depends on how we as humans approach it. AI is meant to be a tool for human use, not a replacement for ingenuity, creativity, or rationalization. As such, humans need to remain relevant to the workplace because they aren’t going anywhere. Increasing employees’ soft skills and integrating them with AI technology can mean maximizing beneficial results.No matter how you feel about AI, it’s the truth that those who utilize AI for work will slowly outpace those who don’t. It all comes back to the integration of humans with machines. If you want to prepare for success in the AI era, then you need to concentrate on the human element of the equation.It’s essential to recognize that the challenges surrounding AI implementation are not insurmountable. Instead, they serve as valuable lessons for leaders and organizations to refine their strategies and better prepare for the AI-driven future. By heeding the above truths and adopting a more informed and holistic employee engagement approach, leaders can unlock AI’s true potential and pave the way for a more productive and innovative workplace.

Also read: Future trends: AI for small businesses

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