DSC Europe 25 SCHEDULE

Traditional business intelligence (BI) often struggles with rigidity, static dashboards, and delayed insights, leaving decision makers unable to react to fast-changing conditions. This talk explores how Large Language Model (LLM) agents can overcome these limitations by introducing a new paradigm of conversational, adaptive, and multi-modal BI. We will examine the technical foundations of building such systems, including continuous data ingestion pipelines, integration of macroeconomic and domain-specific signals, and the orchestration of LLM agents as dynamic data analysts. The session will highlight how natural language interfaces democratize access to complex analytics, enabling both technical and non-technical users to query data seamlessly. Attendees will also learn how multi-modal reporting options – chat insights, automated presentations, and even AI-generated video summaries – expand BI’s reach across organizations. Finally, we will discuss the forward-looking potential of proactive LLM agents that not only deliver insights but also anticipate risks and strategic opportunities.

In today’s hyper-competitive retail landscape, the key to winning customer loyalty lies in delivering an exceptional and personalized experience. “The AI Advantage” delves into how artificial intelligence is revolutionizing every touchpoint of the customer journey. This stream will explore the practical applications of AI that are moving beyond hype and into reality, from hyper-personalizing product recommendations and marketing campaigns to deploying intelligent chatbots that provide instant, 24/7 customer support. We will uncover how predictive analytics can anticipate customer needs before they arise and how AI-powered tools are streamlining everything from inventory management to the final checkout process. Join us to learn how to leverage the power of AI to not only meet but exceed modern consumer expectations, creating seamless, intuitive, and deeply engaging experiences that translate into lasting brand loyalty and a significant competitive edge.

Uzum’s Engineering Manager, Aleksandr Sosorev, will share a case study on merging two eCom giants (Market and Tezkor) into a single Super App for a combined audience of over 15 million users. Facing a choice between WebView and a complex native integration, the team used A/B testing to make a data-driven decision. The talk will reveal key technical challenges: turning an application into a library, creating end-to-end authorization, seamless navigation, and resolving resource conflicts. This is a practical story about making architectural decisions that impact a multi-million dollar business.