ChatGPT. Claude. Gemini.
In under half a decade, these LLMs and other AI models like them have overturned long-standing work practices across sectors. It’s changed how you code, how you develop medicines, and how you analyze market data. Probably forever.
It has altered software, too. It’s now hard to find a tech product—be it a project management tool or a game engine—that is free of AI features.
AI features are a welcome inclusion in VR training modules. AI has changed how you can create, adapt, and track VR training in your enterprise.
Let’s have a closer look at these.
1. It has reduced creation time from 2 months to 2 weeks
Pre-AI, developing enterprise VR training modules took months. AutoVRse’s Project Manager Sreeram recalls, “Five years ago, it took us 2 months on average to complete a VR training module.”
Two months is a long time to wait for a single training module. For pilot projects, it’s a delay in proving ROI to the leadership team. For ongoing deployments, it’s a delay in beginning the training itself.
Also note that two months used to be the average. Many projects suffered a longer development time.
Fortunately, timelines are different post-AI. Sreeram adds, “AI has helped us bring down development time to less than 2 weeks. We’re now able to create a working prototype in a matter of hours.”
Fast enough that you get an idea for a VR training module in the morning and create a testable prototype of it by evening.
3. It creates custom dashboards to see training data that matters to you
Five years ago, if you wanted to see your team’s training data from the previous 2 weeks, you had 3 options.
Create a custom dashboard if you’re a tech expert
Use the common dashboard and add filters and sorting options for 3 hours until you get the data
Ask a tech expert for assistance, the timeline for which you have no control over
AI-integrated dashboards have made sure you don’t have to do any of these 3. You have a new, better option: prompt the AI with what you want, in pure text.
Like this:
AI immediately gets to work. And you get the data you want within minutes. No long waiting or hours of investment required.
Need different data, maybe from a different time period? Ask AI with a new specific prompt, and you’ll get that too.
Again, within minutes.
AI is only going to get better from here
If you invest in VR training now, you could enjoy a 219% ROI across a 3 year deployment. The ROI is one of the reasons why more enterprises are experimenting with pilot projects or scaling up existing VR training initiatives.
ROI is likely to experience a leap once AI becomes smarter and gets integrated deeper into enterprise VR training projects.
That means the processes it has already improved (creation, adapting, and tracking) get even better. And new processes that it’s yet to touch will also fall under its mastery.
Until AI reaches its peak, enterprises will have to make do with 2-week development timelines, personalized learning experiences, and easier data analysis.
But that isn’t a bad place to be.
