In recent months, a single topic has captured the attention of the tech and business communities: Artificial Intelligence (AI). Innovative applications like ChatGPT, among others, have showcased the transformative potential that AI holds. Here at CLIQ, it is important to us to always be in tune with the times and to be open and interested in new technical developments to be able to use and exploit new potential with care. These applications aren’t just futuristic concepts; they are tangible demonstrations of what can already be achieved with AI. In part 1 of this series, we explained the inner workings of the technology that is revolutionising the business world. Here’s part 2, where we show how AI can help anyone be more productive and where its limitations lie.
Before we get started, it is important to mention that AI is not something that could or should replace human employees. At CLIQ, we believe that Artificial Intelligence is a technology that has the potential to empower employees by enhancing their productivity, freeing up their creativity, and enabling innovation. Below are some examples of how we believe AI can be used to increase productivity.
Artwork Prototyping
An experienced artist can use AI to create multiple prototypes of the design they have in mind more efficiently. Using highly customisable AI image-generator tools like Stable Diffusion, artists can refine and execute their vision more precisely and spend more time engaging their creativity instead of getting caught up in the labour-intensive intricacies of manual design.
Company Knowledge
AI models, specifically large language models (LLMs), can be trained on various data sources including, for example, a company’s organisational chart, internal guidelines, and employee specialisations. A chatbot, trained on this kind of data, could considerably improve collaboration, especially in larger companies, where it can often be difficult to find out who is best suited to help fix a problem outside of your own expertise. By giving an AI model all sorts of knowledge about the company, this knowledge will find its way to all the places where it’s needed more easily and efficiently. More sophisticated systems could even find and surface documents and other files that are relevant to an employee’s chatbot request.
Data Analytics
While AI is already commonly used in data analytics to process and organise large amounts of data, other analytics-centred use cases have emerged with AI becoming more easily available to more users. AI can allow users who don’t usually have access to expensive data analytics tools or time to sift through large amounts of data to organise, analyse, and gain insights from their data and improve their products or workflows.
While Artificial Intelligence can be incredibly helpful across a range of tasks and domains, it cannot replace empathy, emotional sensitivity, and creativity. At CLIQ, we are sure that these qualities will be more important than ever in the era of Artificial Intelligence. That’s why we continue to value and foster these qualities within our teams while providing training to ensure our employees are well-equipped to use Artificial Intelligence to their advantage.
We hope this article could give you a good idea of how Artificial Intelligence can enable employees to be more productive, as well as its limitations. If you are interested in AI, check out Part 1 of this series, where we talk about the recent hype around AI and what the technology behind it is.