Artificial intelligence confers various advantages from increasing operational efficiency, boosting productivity, supporting faster decision-making, as well as automating and optimizing mundane tasks.
Cloud-based platforms come integrated with data science virtual machines, tools for learning, modelling, analysis and development of data-based projects. Adopting data analytics and building predictive models leads to a better understanding of customer behaviour, improving customer retention, boosting cross-selling and reducing risk due to generating credit scores. Using pre-build elements from cloud platforms of AWS AI and Azure AI puts the right tools in enterprise owners’ hands in the run to the top of their industries.
Computer vision algorithms serve several roles, aiming at accurately recognizing visual content. Inseparably bound to data analysis, applications support making better business decisions. Computer vision allows object detection, image classification and segmentation, as well as face and optical character recognition, improving overall task and process automation. The precision and ongoing improvement of processes is possible thanks to applied AI, as shown by the example of an AR project for industrial process automation, carried out by our R&D team.
AWS and Azure offer cloud-based services for the sake of developing machine learning solutions, leveraging analysis in various industries. Machine learning allows computers to learn from data and improve from the experience of previous iterations, without the need for extensive programming background. Constantly improving, ML extends its learning capabilities and develops with minimum human supervision. Machine Learning solutions enable building models employed in chatbots, boosting e-commerce, improving services (e.g. smart homes and home security) and building neural networks.
AI solutions in service of creating unique experiences and building loyalty. Thanks to utilizing data on customer behaviour and analysing action patterns, the system can predict future steps and get ahead of the user, providing a tailor-made solution. Recommender Systems are one of the elements of our extensive LMS serving 40,000 users globally. Recommendation engines support the delivery of desired products and services, recognizing growing trends and answering to the ever-changing needs of clients, contributing to overall service improvement.
Natural Language Processing
NLP is applicable in language detection, key phrase extraction, sentiment analysis, document categorization. By employing NLP solutions, business benefits from various technologies enabling computers to understand and potentially generate human language data. Understanding and analysis of natural languages facilitate human-computer interactions supporting solutions like e-learning platforms, employing e.g. task recognition mechanisms.