Lately, it seems everyone’s thinking and talking about AI. What implications does it hold for organizations across industry? How can we leverage it to our benefit? What challenges might it pose?
The topic merits quite a bit consideration – and it’s something that we’ve been thinking a lot about at AG5. At the moment, we’re investigating how we can apply AI both internally and in our product.
However, we don’t want to take the “easy” way out and simply add an AI chatbot to our website. For us, this doesn’t add much to what we offer; it would only serve as something we could point to “prove” that we’re using the technology. That, in our view, simply isn’t enough.
So with that said, we thought this would be a great time to talk about what we are doing with AI technology – as well as the challenges we face in doing so and our plans for the future.
The challenges of AI
Unsurprisingly, implementing AI technology at AG5 arrives with a few challenges. For one, we don’t want to give identifiable customer data to an external model. Doing so opens a can of worms on the security front – one that we’re not comfortable managing.
Additionally – and as touched on above – if we’re using AI at AG5, we want it to serve a purpose other than window dressing.
These challenges, however, are surmountable. They also provide us with a solid foundation on which to build something from which both us and you, our customers, can benefit.
Steps we’ve taken with AI so far
Our use of AI at AG5 is admittedly in the early stages. But we think we’re on the right track. So far, we’re leveraging the technology in both experimental and actual use cases. Let’s take a quick look.
- We’re experimenting with asking an AI model to perform an action in AG5 – for example, creating a skills matrix for the soft skills of people on a certain team. The model would then show us how to easily create such a skills matrix.
- We’re experimenting with asking an AI model a question about your data, like which qualifications have the biggest skill gap? The answer is then displayed in a graph. Here, we are working with using an AI model not to work on the data itself, but to create the code to perform the query and display the graph.
- We’re using AI as reference for coding (and for debugging code)
- We’re using AI to generate images for our website
- We’re using AI as a research tool for content marketing and creating skills matrix variations
As you can see, there are quite a few ways that AI has the potential to make AG5 better. As we continue to explore the technology, we expect to discover many other ways in which to use it.
Plans for the future with AI
The future of AI at AG5 will involve continued experimentation with various techniques – especially those aimed at pain points that we and our customers may experience when building or using our skills management software. By focusing on these areas, we can better find problems that AI can solve.
We also believe that it’s important to involve our users when and where possible. That’s why we’d like to ask you for feedback, ideas, and opinions regarding the use of AI in AG5’s products. Should you have them and want to share, get in touch! Together, we can sculpt a future in which AI is used to maximum potential!