Artificial intelligence (AI) is becoming more and more prevalent in our day to day lives; auto filtering of emails, chatbots and predictive searches on Google are some of the ways in which AI impacts us in our day to day lives. With this in mind it’s no surprise that AI is making its way into the workplace, and in particular into learning and development (L&D). This introduction of AI in the workplace shows why technology is important and how it can bring many benefits to employers and employees alike, but let’s start at the beginning of the AI story…
From small changes such as email inbox filtering and email auto replies to AI assistants, the positive impact of technology in the workplace is plain to see. From the start of the employment process AI is heavily involved, from screening CV’s and increasingly popular use of skill games to assess the cognitive and emotional behaviour of candidates. Once in the workplace the implementation of AI processes and automation of mundane jobs enables employees to focus their time and energy on completing more complicated tasks to a higher standard as AI frees up employee time. The ways in which AI can grow and be implemented shows a lot of promise, such as CRM systems that learn from sales history, and guides employees on where to focus their sales energy to work more productively based on their work habits and past performance.
Learning and development (L&D) is one of the key areas that AI is being implemented in workplaces across the globe, and also one that will see great advancements over the coming years. But, how can employees utilise training AI and what are the benefits of doing so?
Content Curation
As mentioned in our previous post, Learning and Development: Why Is Employee Development Important, curating a L&D strategy is vital. Thankfully, AI is on hand to help with this by taking into account the company objectives, the employees role and the training course. Once this has all been taken into account AI can curate custom training content in order to get the most out of the course and trainee.
Reinforcement
In order to make the most of L&D newly learned skills should be reinforced on an ongoing basis, however this is an area where training is often lacking. Once a training course is completed we tend to see this as ticked off, yet it’s a process that takes time. This is where AI can make a real difference; using it’s learned behaviours and reminder style systems it regularly reinforces the information we have just been taught to ensure this is really understood and taken on board.
Measurement
Large data sets are often quite unwieldy and time consuming to sort into manageable, and readable, results. Data such as employee training courses, employee surveys and employee reviews can easily be digested by AI and given back to us as tangible information we can use to help employees by skill matching for mentorships, on the job training or progression support. This use of AI frees up time by taking the heavy lifting of data sets off employers shoulders, and freeing up time for them to focus on the results and how to make positive changes off the back of them.
How do you see AI changing the landscape of the workplace in the future?
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