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CO-LOCATED EVENTS

CRYPTICA

DIGIHEALTH

PANDORA

AICOMMERCE

AICSI

GAID

Hotel Metropol, Belgrade

17th-21st November 2025

DSC Europe 25 SCHEDULE

Download Preliminary Schedule
NOV 17TH
VIRTUAL
NOV 18TH
VIRTUAL
NOV 19TH
LIVE
NOV 20TH
LIVE
NOV 21ST
LIVE
DATA & AI TALKS
BREAKOUT SESSIONS
CO-LOCATED EVENTS

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MACHINE LEARNING
NATURAL LANGUAGE PROCESSING
COMPUTER VISION
Robotic Process Automation
Speech Recognition
Recommendation Systems
Predictive Analytics
Autonomous Systems
Expert Systems
GENERATIVE AI
Responsible AI
Data Engineering & Architecture
Emerging Tech

Ivo Andric B

Generative AI,

Decision Intelligence

Registration

08:00

 –

09:00

Registration

Official Opening

09:00

 –

09:15

Official Opening

KEYNOTE

Keynote
09:15

 –

10:00

KEYNOTE

Deliver value with AI for creating production-quality media assets

Generative AI
TBA
TBA
Today’s enterprises face immense pressure to deliver high volumes of diverse, production-quality media while battling rising costs and slow manual workflows. This presentation addresses these challenges directly, demonstrating how Gen AI can be systematically implemented to revolutionize content creation. We will explore different media generation options and how to utilize varied interfaces and customizable end-user experiences for specific creative needs. We will dive into prompting guidelines and best practices for building repeatable workflows and a scalable production architecture. Join to see live demonstrations of the latest Google generative media models—such as Veo 3, Nano Banana, and others—in action.
10:00

 –

10:30

Deliver value with AI for creating production-quality media assets

Jelena Mijuskovic & Vanja Melnik
Cloud Customer Engineer, Data & AI @ Google, Business Development Google Cloud Adriatics @ Devoteam Serbia

Transforming Enterprise AI with Scalable LLM Deployments

Generative AI
Technical talk, Research talk
Intermediate to Advanced
As generative AI redefines operational efficiency and customer engagement, fintech organizations must move beyond experimentation to scalable deployment. In this session, Mahmoud Fahmy, Lead AI Engineer at Mastercard, shares firsthand insights into building modular, GPU-optimized GenAI systems and integrating them seamlessly across regulated environments. From orchestrating LLMs with agentic design patterns to leveraging protocols like MCP and A2A for real-time financial data access and agent collaboration, attendees will gain a practical blueprint for deploying GenAI at scale. This talk is ideal for technical leaders, ML engineers, and enterprise architects aiming to transform GenAI strategy into high-impact, production-ready systems.
10:30

 –

11:00

Transforming Enterprise AI with Scalable LLM Deployments

Mahmoud Fahmy
Lead AI Engineer @ Mastercard

Coffee Break

11:00

 –

11:30

Coffee Break

TBA

Generative AI
11:30

 –

12:00

TBA

Egor Krasheninnikov
Generative AI Scientist @ Amazon Web Services (AWS)

Trusting the Unknown: Practical Approaches to Uncertainty in Generative AI

Generative AI
Generative AI systems are remarkably good at producing fluent answers—even when those answers are wrong. This overconfidence creates a critical challenge: how can we measure and communicate uncertainty in GenAI outputs? In this talk, we will explore the key ideas and practical approaches for quantifying uncertainty in large language models and generative systems. We’ll look at a range of strategies—such as probability signals, sampling, verification, and grounding—and discuss their strengths and trade-offs. Through real-world examples, from classification tasks to AI agents, we’ll show how uncertainty estimation can improve trust, guide human-AI collaboration, and enable safer deployments in high-stakes domains.
12:00

 –

12:30

Trusting the Unknown: Practical Approaches to Uncertainty in Generative AI

Jean Americo Tome
Principal AI Engineer @ symphony.is

Making AI real in enterprise

Keynote
Learning models from data has a deep and rich past and a bright future but getting the maximum benefit from models remains daunting. In this talk we will cover how to “make AI real” in practical settings, such as a business. AI researchers, armed with practical knowledge of how to deploy AI in production will find their work has much greater impact. To do this, they need to internalize a cross disciplinary approach at the intersection of finance, innovation and even some human behavior. With the benefit of long experience delivering AI projects, we will show you a playbook that’s not taught in schools, one that can help you guide a science motivated data science investigation or AI engineering project all the way to a production deployment.
12:30

 –

13:15

Making AI real in enterprise

Tim Sears
Chief AI Officer @ HTEC

Lunch Break

13:15

 –

14:30

Lunch Break

When Insight Isn’t Enough

Panel
Explores the frustrating disconnect between analytics teams delivering great insights and decision-makers who don’t act on them. Discusses causes like risk aversion, misaligned incentives, and communication gaps.
14:30

 –

15:15

When Insight Isn’t Enough

Natasa Radjenovic Zivanovic, Miroslav Grbovic, Valentin Konja
Head of Data Management, AI and Innovation Directorate @ OTP Bank; Head of CRM @ Banca Intesa; Director – Business Operations @ NCR Atleos

Operationalizing GenAI: Turning Enterprise Data into AI Ready KnowledgeTBA

Decision Intelligence
TBA
15:15

 –

15:45

Operationalizing GenAI: Turning Enterprise Data into AI Ready KnowledgeTBA

Wolfgang Klein & Olena Brandsch
Director Data as a Serbice / Data Lakes @ Bosch & Commercial Manager @ Bosch Digital

Is it really that expensive to build an AI system today?

Decision Intelligence
15:45

 –

16:15

Is it really that expensive to build an AI system today?

Ivan Petrovic
Senior Tech Lead & Senior Machine Learning Engineer @ HTEC

Coffee Break

16:15

 –

16:45

Coffee Break

AI resource management

Decision Intelligence
Technical talk, Business talk
Intermediate
As organizations deploy hundreds or thousands of AI agents to automate complex workflows, a new challenge emerges: how do we effectively manage, coordinate, and optimize a workforce of autonomous agents? This presentation introduces frameworks for AI agent resource management—essentially “HR for AI agents”—addressing the unique challenges of scaling agent-based systems in enterprise environments. We explore critical management dimensions including agent lifecycle management (hiring, onboarding, retirement), role assignment and specialization, workload distribution, and performance monitoring. The discussion covers practical approaches to agent orchestration, including task routing mechanisms, capability matching, and dynamic team formation for multi-agent collaboration. Key topics include establishing governance frameworks for agent behavior, implementing quality control systems, managing agent “skills” and continuous improvement, and handling version control across agent populations. We also address resource allocation strategies—determining when to spin up new agents versus reassigning existing ones, and balancing specialized versus generalist agent architectures.
16:45

 –

17:15

AI resource management

Weiwei Feng
Global tech lead in AI @ Capgemini

Decision Intelligence Meets Work: Context, Options, and Digital Twins

Decision Intelligence
Business talk
Beginner to Intermediate
Over the last decade, organizations have invested heavily in data and AI, yet much of the world’s career potential still goes untapped. IT professionals are treated like numbers, while managers drown in admin instead of building great teams. Orbit was created to change that. In this session, Daniel Pinto Almeida, Co-Founder & CEO of Orbit, will share how decision intelligence can power a new relationship layer between professionals and companies — one where context, personalization, and options drive smarter matches and better outcomes. From living profiles to verified opportunities and enterprise talent hubs, Orbit’s product ecosystem learns with every interaction. The vision: a future where humans and digital twins collaborate by choice, with trust and shared upside.
17:15

 –

17:45

Decision Intelligence Meets Work: Context, Options, and Digital Twins

Daniel Pinto Almeida
Co-Founder & CEO @ Orbit

Ivo Andric A

Data Platforms,

Big Data

Analytics

Registration

08:00

 –

09:00

Registration

Black

09:00

 –

09:15

Black

Black

09:15

 –

10:00

Black

Demystifying Data Products: From Buzzword to Practical Implementation

Data Platforms
“Data Product” has become a buzzword in many organizations — often used without a clear understanding of what it truly means. In this session, we’ll cut through the noise. You’ll get a clear definition of Data Products, explore why they matter, and learn how to design and implement them in practice — both from a business and technical perspective. Whether you’re a data engineer, analyst, or decision-maker, this session will give you a concrete foundation for working with data products in real-world environments.
10:00

 –

10:30

Demystifying Data Products: From Buzzword to Practical Implementation

Mario Meir-Huber
Speaker | Author | Lecturer

TBA

TBA
TBA
TBA
TBA
10:30

 –

11:00

TBA

TBA
TBA

Coffee Break

11:00

 –

11:30

Coffee Break

TBA

TBA
TBA
TBA
TBA
11:30

 –

12:00

TBA

TBA
TBA

TBA

TBA
TBA
TBA
TBA
12:00

 –

12:30

TBA

TBA
TBA

Black

12:30

 –

13:15

Black

Lunch Break

13:15

 –

14:30

Lunch Break

Managing the Challenges of Rapid Data Growth

Panel
Discussing how organizations handle rising storage costs, maintain query performance, and reduce system complexity as data scales. give me a few suggestions along those lines
14:30

 –

15:15

Managing the Challenges of Rapid Data Growth

TBA
TBA

How To Teach Your AI Football? An Argument for Event Sourcing

Technical talk
Beginner to Intermediate
We don’t watch sports just for the final score. We watch for the drama that unfolds in every pass, every sprint, every gasp from the crowd. We don’t watch the statistics. We watch the game, the tension, the turning points. Now imagine asking your LLM to replay that game. With only the statistics, it might give you the skeleton. With the commentary transcript, it can start to breathe life into it: the roar after a goal, the hush before a penalty, the sudden shift in momentum. As analysts, we are storytellers. Event sourcing is how we make the data tell the whole story.
15:15

 –

15:45

How To Teach Your AI Football? An Argument for Event Sourcing

Tamas Srancsik
Data Analyst @ Amazon

From Insight to Oversight: AI-Driven Power BI Monitoring using REST API integration

Power BI has become a cornerstone of enterprise analytics, enabling self-service reporting, real-time insights, and agile decision-making. Yet as organizations scale to hundreds or thousands of reports, datasets, and users, they face growing challenges: sustaining performance, ensuring governance, managing costs, and keeping analytics aligned with business priorities. Without structured oversight, even the most advanced analytics environment can become cluttered, inefficient, and less trusted by decision-makers. This session presents a strategic, AI-enhanced framework for monitoring and managing Power BI environments. By combining the Power BI REST API and AI models together with modern Azure services, organizations can transform raw usage data, metadata, and report lineage into actionable insights that drive better decisions. AI techniques play a key role in spotting unusual usage patterns, predicting future demand, and highlighting potential risks before they escalate empowering teams to act early rather than react to problems after the fact. Through real-world examples, I will show how this approach improves operational efficiency, strengthens governance, and optimizes both capacity and licensing. Attendees will leave with a clear vision of how to establish scalable, intelligent monitoring practices that protect their investment in Power BI, build user trust and create a culture of continuous improvement in analytics.
15:45

 –

16:15

From Insight to Oversight: AI-Driven Power BI Monitoring using REST API integration

Gordana Milutinovic Dumbelovic
BI Team Lead @ Global engineering technologies

Coffee Break

16:15

 –

16:45

Coffee Break

TBA

TBA
TBA
TBA
TBA
16:45

 –

17:15

TBA

TBA
TBA

TBA

TBA
TBA
TBA
TBA
17:15

 –

17:45

TBA

TBA
TBA

TESLA B – DSC:X

Deep Learning,

ML Application

Registration

08:00

 –

09:00

Registration

Black

09:00

 –

10:00

Black

TBA

TBA
TBA
TBA
TBA
10:00

 –

10:30

TBA

TBA
TBA

Adopting Generative AI Capabilities Into the Enterprise

AI Strategy
Transformational talk
Intermediate
Generative AI presents tremendous opportunities, but most companies are trapped in the research cycle. We are faced with a change management conundrum like never before. Jim draws on lessons from the computer revolution, digital transformation, the mobile revolution, and Robotic Process Automation, to deliver a rational roadmap for the adoption of generative AI capabilities. It’s a transformation blueprint from executive alignment to measuring the impact of new projects. Forming an AI Council, setting policies and guidelines, rolling out training, and new ways to measure the business value of new projects will set you up to successfully integrate generative AI into your processes, products, and services. You will take home a formal step-by-step plan for GenAI adoption You will be prepared to participate in your organization’s transformation You will be able to help those around you manage their fears and mitigate risk
10:30

 –

11:00

Adopting Generative AI Capabilities Into the Enterprise

Jim Sterne
Target Marketing of Santa Barbara

Scaling AI in Banking – Our Strategic Journey

AI Strategy
Use case, Solution showcase, Transformational talk
Intermediate
Discover how Raiffeisen bank is navigating the evolving landscape of AI—from early experimentation to strategic integration. This session will share insights, challenges, and forward-looking themes that are shaping the next chapter of AI adoption in financial services.
11:00

 –

11:30

Scaling AI in Banking – Our Strategic Journey

Predrag Maletic
AI Products Tribe Lead @ Raiffeisen bank

Coffee Break

11:30

 –

12:00

Coffee Break

TBA

12:00

 –

12:30

TBA

Laila Kakar
Director @ PwC Middle East | Data Analytics

KEYNOTE: Data Doesn’t Lie… But Does It Pay?

Keynote
Transformational talk
Advanced
Everyone says data doesn’t lie — but turning data into real business value requires more than setting up AI agents, dashboards and KPIs. This talk explores how organizations can move beyond simply collecting insights to building a culture where data truly drives decisions, shapes behavior, and pays off in measurable impact. We’ll share lessons, challenges, and practical steps to shift mindsets, bridge the gap between data and people, and unlock the real return on data.
12:30

 –

13:15

KEYNOTE: Data Doesn’t Lie… But Does It Pay?

Siegfried Jaeken
Data & AI Managing Director @ Accenture

KEYNOTE: Hack Your Life — The Future of Human Resilience in an AI-Driven World

Keynote
Technical talk, Business talk
Beginner to Intermediate
Cybersecurity spending is projected to exceed $212 billion this year. Billions more flow into the security awareness training market, which is growing at double-digit rates. Yet the data is remarkably consistent: humans remain the single biggest breach vector. Verizon’s Data Breach Investigations Report shows that between 68 and 85 percent of breaches involve human factors, a trend that has barely shifted over the past five years. The paradox is clear. Technology evolves, defenses scale, awareness programs expand, yet human vulnerability persists. And now artificial intelligence is tilting the battlefield. Studies show AI-generated phishing emails are already outperforming human red teams, while global surveys reveal that most people cannot reliably tell an AI-crafted message from a genuine one. The old cues are gone. This talk explores what that means for the future of security and for us as humans. If attackers exploit the weakest link, then the most important operating system to secure is not just the digital infrastructure around us but the internal architecture within us. By examining how hackers probe, adapt, and exploit systems, we can learn how to build a new model of resilience that is iterative, adaptive, and future-ready.
13:15

 –

14:00

KEYNOTE: Hack Your Life — The Future of Human Resilience in an AI-Driven World

Eva Benn
Principal Security Program Manager | Microsoft Security & Response Center (MSRC) @ Microsoft

Lunch Break

14:00

 –

15:15

Lunch Break

TBA

TBA
15:15

 –

15:45

TBA

TBA
TBA

TBA

TBA
TBA
TBA
TBA
15:45

 –

16:15

TBA

TBA
TBA

Coffee Break

16:15

 –

16:45

Coffee Break

TBA

TBA
TBA
TBA
TBA
16:45

 –

17:15

TBA

TBA
TBA

TBA

TBA
TBA
17:15

 –

17:45

TBA

TBA
TBA

* this program is not final and is subject to change, full schedule will be available soon

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