ABSTRACT. Owing to recent technological advancements, the interest in and demand for artificial intelligence (AI) methods in data science have grown dramatically. The market has been flooded with AI gadgets targeting individual consumers. For instance, algorithms have been developed to generate realistic images and video streams (deep fake algorithms), automatically produce witty responses to user prompts (chatbots), and even predict one’s genetic heritage based on selfies (image classifiers). At the same time, there is a vast spectrum of AI applications meant for industrial use and, specifically, for the optimization of business strategies and processes. Time-series predictors forecasting the number of incoming calls to call-centers, reinforcement learning algorithms optimizing production lines, and search engines enabling quick and effective browsing on company homepages are just a few examples of such applications. The broad introduction of AI systems in the industry typically necessitates incremental developments with continual improvements and operational maintenance. The system lifecycle therefore includes additional activities besides predictive data modeling, such as data store management, data ingestion, deployment automation, etc. This talk is to provide the conference participants with insights on the lifecycles of industrial AI products by discussing several supervised and unsupervised use-cases. It will also elaborate on the DevOps and MLOps culture in a context of the AGILE framework – a set of developmental and operational practices aimed at shortening the system development time and providing for continuous delivery with high software quality.

ABSTRACT. For technology entrepreneurs, understanding your potential customer is a critical skill today. Your unique selling proposition, more commonly referred to as a USP, manifests that your offering is better than those of your competitors’. The underlying value proposition included in the USP differentiates your products and makes them to stand out at the market. What are the values of your customers that you are addressing to? During this workshop we will learn how to formulate functional, social and emotional values to fit into your value proposition. Since the value proposition is the centerpiece of the business modelling, good business models communicate the value messages to the customer in the most efficient way. The workshop will help you to explore how a value proposition should quickly answer the most immediate question when the potential customers encounter your brand. This question is “What makes you different from the rivals?” Also, we will learn what affects the value proposition messages in different societal, cultural and industrial contexts.

ABSTRACT. Artificial Intelligence technology is actively being introduced into various fields of activity. In education, these technologies are not yet as widely used as in business, but there are already well-known practices that use the power of AI. These include adaptive learning technology, a concept designed to improve the quality of education through a personalized approach and in-depth analysis of the learner's behavior. The presentation discusses TUSUR's experience in implementing adaptive learning in the educational process, methods, models and approaches underlying this technology.