Make the most of data – use artificial intelligence
We can help develop use-case-optimized ChatGPT-like solutions which take information security notice. We also have expertise in, e.g., using machine learning in production environments.
Case: A Chat-based AI solution
Artificial intelligence has been a hot topic recently. The most visible advances in AI have been made with natural language processing (NLP) and large language models (LLM). With a massive amount of computing power and data, generative artificial intelligence solutions like ChatGPT have been created.
Chat-based artificial intelligence solutions, which search for answers to user questions from the organization’s own data, are rapidly becoming more common. We have helped for example the city of Turku to utilize generative AI.
How does a business-tailored solution like ChatGPT work, and how can challenges typical of generative artificial intelligence be tackled when creating AI solutions?
With versatile machine learning libraries
Most of today’s AI applications are based on machine learning (ML). As the name suggests, the machine, i.e., the software, is taught with data. Based on that, the machine learns to conclude independently from similar data content.
Advanced artificial intelligence libraries and cloud services available to everyone simplify the use of artificial intelligence. Instead of requiring to develop the artificial intelligence itself, existing artificial intelligence solutions can now be utilized as part of the software development.
A case: Highlighting important information in the mass of documents
Important information can often be lost amidst the avalanche of documents. A person can’t go through such a large number of documents.
We taught the FinBERT language comprehension model to identify suggested actions in maintenance and inspection reports and implemented an interface to find, browse and highlight them in the documents.
Proof of Concept gives insight into decision-making
Organizations accumulate large amounts of data every day. By identifying processes in which a person makes conclusions based on a large amount of data, you can find a suitable use case for machine learning.
We can prove the results achievable with machine learning and the level of accuracy with the customer’s data with a fast and lightweight Proof of Concept project.
Suitable use cases for machine learning are, e.g., highlighting important information from a mass of documents and detecting errors in the manufacturing process.
AI guide
What is artificial intelligence, what does machine learning mean, and what can it achieve?
Check out our guide →
Integration needs?
Please, contact Juhani, who works in our sales.