Seventeen months after the launch of ChatGPT, the excitement but not the interest in generative artificial intelligence has died down. After the first attempts with different language models, in which many have generated texts, images or even videos and perhaps even found ways to use these tools in their own workflows, the question still arises as to how these can now be integrated into company processes.
In addition to concerns about the protection of company data, the avoidance of hallucinations and the stability of language models, there are also unresolved issues relating to costs and potential savings. How easy is it to integrate into my processes? Do I also have to buy these expensive GPUs? Or are there inexpensive cloud solutions? And who will do all this for me without me having to spend a fortune and wait forever for the finished solution?
A number of service providers have already emerged to perform these tasks and implement them in a wide variety of sectors and for a wide variety of IT landscapes.
One of these companies that integrates generative AI into business solutions is Bubble. Based in the Silicon Alps – a.k.a. Carinthia – and Silicon Valley, the startup brings AI to citizens of the Austrian state. Thanks to AI integration, the sometimes confusing jungle of benefits and subsidies should become clearer and easier to navigate.
Several large language models (LLM) such as Llama, Alpaca and Mistral were installed in-house and trained with data from the state authorities. An AI assistant based on BubbleChat guides citizens through the offers.
Such solutions are the low-hanging fruits that can be introduced without much risk or effort. Not only does this provide experience with generative AI and feedback from users, it also allows us to think further than simply reducing the administrative costs of a public authority or company. I explained the questions that decision-makers should ask themselves in this article a few days ago. Every new technology, including AI, opens up new opportunities that were not possible before.
One of the co-founders of Bubble, Markus Orlitsch, knows this from his own experience. During his time at Google in Mountain View, he internalized this mindset and is therefore ideally prepared to help companies in their search for new possibilities and opportunities.