Hotel Metropol, Belgrade
17th-21st November 2025
DSC Europe 25 SCHEDULE
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

NIKOLA TESLA A
AI in Diagnostics & Medical Imaging,
Driving Healthcare Innovation
AI and Digital Twins in Precision Oncology: From Single-Cell Insights to Cancer Biology
AI in Diagnostics & Medical Imaging
Technical talk, Research talk
Intermediate
Artificial intelligence and bioinformatics are opening new frontiers in precision oncology. This talk will explore how advances in graph-based models, multimodal data integration, and digital twin technologies are reshaping cancer biology and enabling more personalized approaches to treatment. Drawing on research experience from Cambridge and current leadership in translational AI, I will discuss how combining imaging, molecular, and clinical data can move us from delayed, reactive care toward proactive, real-time decision support in oncology. Attendees will gain insight into how these innovations are set to transform both the science of cancer and the future of patient care.
09:30
–
10:00
AI and Digital Twins in Precision Oncology: From Single-Cell Insights to Cancer Biology
Stefan Milosevic
AI & Bioinformatics Lead @ BIO4 Campus B
Neuroimaging analysis, using reservoir computing-based effective connectivity, and interpretable AI
AI in Diagnostics & Medical Imaging
Technical talk, Research talk
Intermediate
Understanding disrupted brain networks is essential for advancing stroke diagnosis and treatment. In this session, we present a novel end-to-end AI framework that models brain connectivity using reservoir computing and directed graphs, enriched with explainable AI and potentially LLMs. Participants will learn how effective connectivity can reveal biomarkers for stroke and other brain disease. Key takeaways include AI-based modeling, graph analysis, and clinical insight. Table discussions will explore challenges in brain connectivity modeling, the role of explainable AI in healthcare, and translating AI findings into clinical practice.
10:30
–
11:00
Neuroimaging analysis, using reservoir computing-based effective connectivity, and interpretable AI
Alessandro Crimi
Adj. Professor @ AGH University of Krakow
Driving Medical Innovation: Data & AI Shaping the Future of Healthcare
Keynote
Business talk
Beginner to Intermediate
Healthcare faces global challenges, but data and AI are opening new possibilities for better outcomes and efficiency. In this talk, Mercedes Pantoja. Head of Global Data & AI at Siemens Healthineers, shares insights on the current state of healthcare, and how data, automation and AIare driving medical innovation, and a forward-looking vision for the future of digitally enabled care.
11:30
–
12:15
Driving Medical Innovation: Data & AI Shaping the Future of Healthcare
Mercedes Pantoja
Head of Global Data & AI @ Siemens Healthineers
Quest for AI Transformation: What Healthcare Can Learn from Finance
Driving Healthcare Innovation
Business talk
Intermediate
Healthcare and finance share much in common: they are highly regulated, data-intensive, and mission-critical. Yet while finance has spent more than a decade transforming with AI — from risk scoring and fraud detection to trading models — healthcare is only now accelerating on this journey.
We will explore what the health industry can learn from the successes and mistakes of finance. Discover how the “AI playbook” can help healthcare leapfrog stages of maturity and unlock safer, smarter, and more personalized care for patients.
15:15
–
15:45
Quest for AI Transformation: What Healthcare Can Learn from Finance
Jurij Kodre
Global Head of Data, Analytics, DS&AI @ Sandoz AG
From Raw Data to Pharma Strategy: The Serbian Market Unlocked
Driving Healthcare Innovation
Business talk, Research talk
Intermediate
Analysis of Serbian Supplement Market by creating interactive business intelligence tool that helps business leaders make data-driven decisions and accelerate company growth. In our talk we will be covering our data product and digital sales growth case by explaining the methodology, technical solution, final product, business value and analysis of current state of Serbian Supplement Market.
16:15
–
16:45
From Raw Data to Pharma Strategy: The Serbian Market Unlocked
Vitomir Prostran
Data & BI Director @ Proton System

Nikola Tesla C
Intelligent Inventory Management,
Data-Driven Product Recommendations
How We Merged Two eCom Giants into One Super App and Kept 15+ Million Users Loyal
Use case, Solution showcase
Intermediate to Advanced
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.
10:00
–
10:30
How We Merged Two eCom Giants into One Super App and Kept 15+ Million Users Loyal
Aleksandr Sosorev
Engineering Manager @ Uzum Tezkor
BI with AI: Automating Business Intelligence Using LLM Agents
Intelligent Inventory Management
Technical talk, Business talk
Beginner to Intermediate
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.
10:30
–
11:00
BI with AI: Automating Business Intelligence Using LLM Agents
Ratko Nikolic
Senior Data Scientist @ InterVenture
Keynote: Driving Growth with AI Across Physical and Digital Retail
Business talk
Beginner to Intermediate
Retail and e-commerce are now fully integrated into a phygital experience. Customers expect a seamless journey across physical stores and digital platforms, and any gaps can lead to lost sales.
In this keynote, Rui Machado explains how artificial intelligence (AI) connects physical and digital touchpoints to drive growth. From personalized recommendations to predictive supply chains, AI helps retailers enhance conversion rates, build loyalty, and reduce friction.
Through real-world examples from global brands, Rui outlines key AI capabilities and how to incorporate them into existing systems. Attendees will gain practical insights on adopting a phygital mindset for significant business impact.
11:30
–
12:15
Keynote: Driving Growth with AI Across Physical and Digital Retail
Rui Machado
EX VP of Data Engineering and Architecture @ H&M Group
Keynote: Leveraging 1P Data for AI-Powered High-Value User Acquisition
Business talk
Intermediate to Advanced
Discover how predictive models and AI are reshaping the future of customer acquisition. What if you could unlock the “leading indicators” to your business, predicting the customer value & overall sales.
Drawing on insights from a ThinkWithGoogle pLTV case study, this talk will show how you can acquire high-value customers by combining Google AI with 1P data. It will feature a practical blueprint: instrument a durable data foundation, chase the right objective, make the right tradeoffs in your model and activate the data efficiently in user acquisition.
Attendees will learn why predictive acquisition is the new age of AI-powered campaigns, how it transforms marketing strategy across eCommerce & other verticals, and what practical steps organizations can take to prepare for a privacy-first, AI-powered future of growth.
12:15
–
13:00
Keynote: Leveraging 1P Data for AI-Powered High-Value User Acquisition
Djordje Petrovic
Senior Growth Manager, Apps @ Google
From Data to Delight: Leveraging AI for success for retail sector
Data-Driven Product Recommendations
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.
15:15
–
15:45
From Data to Delight: Leveraging AI for success for retail sector
Chitresh Sharma
Head of Insights @ L’Oréal
* this program is not final and is subject to change, full schedule will be available soon