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CO-LOCATED EVENTS

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DIGIHEALTH

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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

TBA

TBA
TBA
TBA
TBA
10:00

 –

10:30

TBA

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

TBA

Generative AI
TBA
TBA
TBA
10:30

 –

11:00

TBA

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

TBA

Keynote
TBA
TBA
TBA
12:30

 –

13:15

TBA

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

TBA
TBA

TBA

TBA
TBA
TBA
TBA
15:15

 –

15:45

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
TBA
TBA
17:15

 –

17:45

TBA

TBA
TBA

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

TBA

Data Platforms
TBA
TBA
TBA
10:00

 –

10:30

TBA

Komal Chheda
Director – Data platform @ DAMAC Properties

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

Keynote
12:30

 –

13:15

Keynote

TBA

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.
13:15

 –

14:00

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

Siegfried Jaeken
Data & AI Managing Director @ Accenture

Lunch Break

14:00

 –

15:15

Lunch Break

From Pilot to Powerhouse: Scaling AI for Real Business Impact

Mirna will explore how enterprises can move beyond isolated AI pilots to deliver real, scalable impact addressing common execution gaps many organizations face.
15:15

 –

15:45

From Pilot to Powerhouse: Scaling AI for Real Business Impact

Mirna Malaeb
Thought Leader, Advisor & Public Speaker

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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