Beotura is developing an AI-enhanced recommendation system designed to personalize cultural content and tour suggestions within its existing digital platform and mobile application. The solution integrates structured heritage data with machine learning models to generate context-aware recommendations based on user…
We developed a classification algorithm to support our client’s mission of educating people about investments using innovative technology. Our AI onboarding solution classifies users to determine their investor type. The process involved several steps: generating inputs, data labeling, algorithm decision-making,…
What is Unstructured Data Management? Unstructured data management refers to the process of organizing, storing, and analyzing information that does not conform to a predefined format or schema. This includes a variety of data types, such as plain text, images, audio, video, social media…
In OpenKM’s document management system, the combination of AI and OCR technology helps automate many document management processes, significantly reducing the manual workload and improving the efficiency and accuracy of procedures. For example, documents can be automatically scanned and processed…
The solution makes it possible to carry out different tasks by department or function of the company, with collaborative work with the AI tool ChatGPT. In work orders, employees can quickly get the answers and information they need from the…
Tailored solutions for your unique needs Intelligent search Harness the power of multiple LLMs to turn both external data and your internal company data into a vast source of valuable insights. Ask questions in any language and get a neatly summarized answer in the same language. Intelligent…
The problem of unauthorised use of a reserved parking space is solved by using the smart sensor system SmartRes, which consists of the following elements: a sensor for detecting the car in the parking space, which is placed in/on the…
Our AI-powered Semantic Search solution is specifically designed to address these challenges in eCommerce environments. By understanding the nuanced intent and contextual meaning behind a user’s search query, our technology delivers more accurate and relevant search results, enhancing the overall…
Our AI-powered Visual Search technology addresses this challenge by allowing users to search for products using images instead of words. This solution utilizes advanced machine learning algorithms, including convolutional neural networks (CNNs), to analyze the uploaded images and identify their…
VITS (Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech ) is an End-to-End (encoder -> vocoder together) TTS model that takes advantage of SOTA DL techniques like GANs, VAE, Normalizing Flows. It does not require external alignment annotations and…