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CLE EVENTS

CRYPTICA

DIGIHEALTH

PANDORA

AICOMMERCE

AICSI

Hotel Metropol, Belgrade

18th-22nd November 2024

DSC SCHEDULE

Download Preliminary Schedule
NOV 18TH
VIRTUAL
NOV 19TH
VIRTUAL
NOV 20TH
LIVE
NOV 21ST
LIVE
NOV 22ND
LIVE
DATA & AI TALKS
BREAKOUT SESSIONS
CO-LOCATED EVENTS

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Room 1

TBA

Gene Research with AI
10:00

 –

10:30

TBA

AI algorithms in spatial transcriptomics

Gene Research with AI
Use case
Intermediate to Advanced
Spatial transcriptomics provides insights about the cellular level of the tissue with high-resolution information about gene expression and position of the individual cells. To generate knowledge by sifting through the millions of cells with tens of thousands of genes represents a demanding task. This talk will focus on addressing the challenges and providing examples of algorithms used for processing this type of data such as cell community detection and cell type annotation.
10:30

 –

11:00

AI algorithms in spatial transcriptomics

Vladimir Kovacevic
Senior Algorithm Developer @ BGI Research Serbia

Keynote

Keynote
11:00

 –

11:45

Keynote

Coffee Break

11:45

 –

12:00

Coffee Break

TBA

AI in Diagnostics & Medical Imaging
12:00

 –

12:30

TBA

AI-aided Mammography

AI in Diagnostics & Medical Imaging
Use case
Intermediate to Advanced
The talk provides an overview of advanced techniques for enhancing mammography diagnostics, spotlighting multiple computer vision topics. Drawing conclusions from a real-world industrial application, it delves into the technical intricacies of cutting-edge AI methodologies such as high-resolution image processing, diffusion models and anomaly detection, while also comparing these approaches to traditional ones. Through practical experiences, the talk highlights the transformative impact of these technologies on diagnostic accuracy and efficiency, underscoring their scientific contributions.
12:30

 –

13:00

AI-aided Mammography

Nikola Jovisic
Junior Research Assistant @ The Institute for Artificial Intelligence Research and Development of Serbia

Artificial Intelligence in Medicine: From Enthusiasm to Despair

AI in Diagnostics & Medical Imaging
Transformational talk
Intermediate
This lecture will present the challenges and perspectives of applying artificial intelligence in medicine, focusing on its use in radiology. Additionally, it will provide answers to the following questions:
Is artificial intelligence a threat or a tool for the advancement of humanity?
How is artificial intelligence transforming medical practice?
What are the main obstacles to adopting artificial intelligence in everyday clinical practice?
How close are we to a scenario where artificial intelligence replaces medical staff?
13:00

 –

13:30

Artificial Intelligence in Medicine: From Enthusiasm to Despair

Ivan Martinovic
PhD Candidate @ University of Montenegro-University of Toronto

Lunch Break

13:30

 –

14:30

Lunch Break

Keynote: Developing Responsible Digital Biomarkers

Keynote
Use case, Panel with the solution provider and the client, Transformational talk
Beginner to Intermediate
Digital Biomarkers, or quantifiable measures obtained from digital devices that are used to explain or predict health outcomes, have far reaching applications, from telemedicine to supporting clinical trials. With this highly sensitive data and its predictive capabilities, it is critical that digital biomarkers are developed responsibly: using interpretable models, transparent techniques, and robust evaluation. In this talk, Dr. Bent will discuss major gaps that currently exist at the intersection of digital health and Responsible AI, share emerging research on digital biomarkers, and discuss best practices for their responsible development and usage.
14:30

 –

15:15

Keynote: Developing Responsible Digital Biomarkers

Brinnae Bent
Executive in Residence @ Duke University

AI-Assisted Diagnostics for Canine Ocular Conditions

AI in Diagnostics & Medical Imaging
Technical talk, Research talk
Beginner to Intermediate
The integration of artificial intelligence (AI) with medical diagnostics is revolutionizing veterinary technology, particularly in the diagnosis of ocular conditions in dogs. This approach leverages computer vision and deep learning to significantly enhance diagnostic accuracy and efficiency. By employing sophisticated computer vision techniques, detailed analysis of canine eye imagery becomes possible, offering a new dimension in veterinary diagnostics. Additionally, Large Language Models (LLMs) are utilized to further aid the diagnostic process, showcasing the synergy between AI algorithms and veterinary medicine. The exploration of these AI-driven methods reveals their potential to streamline veterinary diagnostics, making them faster and more practical. Attendees will gain a comprehensive understanding of the technical approaches used, the challenges encountered in implementation, and the advancements achieved in applying AI to veterinary science, highlighting its transformative impact on medical diagnostics.
15:15

 –

15:45

AI-Assisted Diagnostics for Canine Ocular Conditions

Matija Buric
PhD candidate @ Faculty of Informatics and Digital Technologies

Coffee Break

15:45

 –

16:00

Coffee Break

Panel

Panel
16:00

 –

16:45

Panel

Room 2

Blockchain Analytics with Dune

Blockchain & Cryptoanalytics
Research talk
Beginner to Intermediate
In this presentation, we’ll explore the dynamic world of blockchain analytics through the powerful lens of Dune. Dune is a cutting-edge platform that transforms raw on-chain data into meaningful insights, enabling users to track and analyze blockchain activities in real time. We’ll dive into the fundamentals of blockchain analytics, highlighting how Dune’s user-friendly interface and customizable queries make it accessible to both beginners and experts. Through practical examples, you’ll learn how to leverage Dune’s capabilities to monitor transactions, identify trends, and gain a deeper understanding of the decentralized ecosystem.
10:00

 –

10:30

Blockchain Analytics with Dune

Mersiha Karamustafic
Data Scientist @ HTEC Group

TBA

Blockchain & Cryptoanalytics
10:30

 –

11:00

TBA

Milica Vulic
ZK educator

Keynote: AI Humans and the Cross-Chain Metaverse: The Next Frontier for Interactive Data Management and Community Growth

In the rapidly evolving landscape of digital innovation, AI Humans and the Cross-Chain Metaverse represent a monumental shift in how data, identity, and communities interact. This keynote explores the convergence of AI, blockchain technology, and the metaverse to create an interconnected, cross-chain ecosystem that empowers decentralized data management and unlocks new opportunities for community growth. As AI-driven avatars and decentralized platforms merge, they offer unprecedented potential for creating intelligent, self-sustaining virtual environments where users can seamlessly interact, transact, and build on multiple blockchain networks.

Dr. Suren Movsisyan delves into the transformative potential of this frontier, examining how AI-powered metaverse ecosystems, i.e. Aigorithm can revolutionize industries such as gaming, entertainment, and social media, while fostering collaborative, data-driven community experiences. With a focus on cross-chain compatibility, he highlights the importance of scalable, interoperable platforms that can support a diverse range of applications— from personalized AI assistants, i.e. CassandraAi to decentralized finance and NFT marketplaces. This visionary approach signals the next wave of innovation in Web3, paving the way for new paradigms of digital identity, virtual economies, and user engagement on a global scale.
11:00

 –

11:45

Keynote: AI Humans and the Cross-Chain Metaverse: The Next Frontier for Interactive Data Management and Community Growth

Suren Movsisyan
Founder, CTO @ Aigorithm | CMO @ Revolve Games | Tech Lead @ Bitcoin Center NYC

Coffee Break

11:45

 –

12:00

Coffee Break

Privacy-preserving Computation in Plain Sight

Blockchain & Cryptoanalytics
Technical talk, Educational talk
Beginner to Intermediate
Web 3.0 technology offers a decentralized and trustless execution environment, ensuring data integrity and verifiable correctness of computations using smart contracts. This transparency is one of the core strengths of Web 3.0 but also one of the main obstacles to utilizing this technology in enterprise applications where privacy preservation is imperative. To address these privacy concerns and enable a wide range of new use cases that can harvest the benefits of Web 3.0 technology, advanced cryptographic methods such as Zero-Knowledge Proofs (ZKPs) and Fully Homomorphic Encryption (FHE) have emerged. ZKPs allow verification of computations without revealing the underlying data, while FHE enables computation on encrypted inputs, ensuring that private information remains hidden even to entities who perform the computations.
12:00

 –

12:30

Privacy-preserving Computation in Plain Sight

Aleksandar Veljkovic
Senior Researcher @ Attic 42

TBA

Cryptography Researcher @ Geometry
12:30

 –

13:00

TBA

Andrija Novakovic

Can memes beat the market – using the social media sentiment for forecasting stock returns

Cryptocurrency & digital money
Use case
Intermediate
Is the efficient market hypothesis still efficient in today’s hyper-connected world? The curse of common knowledge in market trading and respective massive sharing of its benefits leads to infinitesimal gains or losses. Social media sentiment towards the stocks is already being used in trading strategies with varying success. What happens when we step away from the hugely competitive field of universal choices in seeking for alpha, like popular stocks and Twitter? In this talk, I will show you why and how sentiment works in some specific markets like cryptocurrencies and Asian stocks.
13:00

 –

13:30

Can memes beat the market – using the social media sentiment for forecasting stock returns

Milan Zdravkovic
Research Lead @ZenPulsar

Lunch Break

13:30

 –

14:30

Lunch Break

Keynote

Keynote
14:30

 –

15:15

Keynote

TBA

Cryptocurrency & digital money
15:15

 –

15:45

TBA

Coffee Break

15:45

 –

16:00

Coffee Break

Panel

Panel
16:00

 –

16:45

Panel

Room 3

TBA

Data analytics in Gaming
10:00

 –

10:30

TBA

Optimizing Mobile Game LiveOps with Data-Driven Decisions

Data analytics in Gaming
Use case
Beginner
In the dynamic world of free-to-play mobile games, LiveOps are essential for sustaining player engagement and driving revenue. This talk will explore how data-driven decisions are valuable for optimizing LiveOps, focusing on key aspects such as pricing strategies and in-game economy. By utilizing analytics, we can make informed adjustments that enhance player experience and maximize game performance. Attendees will gain insights into examples of how the analytics team at Nanobit contributes to refining LiveOps in their games to drive success in the competitive mobile gaming industry.
10:30

 –

11:00

Optimizing Mobile Game LiveOps with Data-Driven Decisions

Lara Rajkovic
Senior Data Analyst @ Nanobit

Keynote

Keynote
11:00

 –

11:45

Keynote

Coffee Break

11:45

 –

12:00

Coffee Break

Inside Wargaming’s Recommendation System: Boosting Engagement and Monetization

Data analytics in Gaming
Technical talk, Business talk
Intermediate to Advanced
Wargaming’s recommendation system leverages advanced algorithms to personalize player experiences. By analyzing in-game behavior and preferences, it suggests relevant content and purchases, enhancing player engagement and significantly boosting monetization. Impressively, the system has achieved a revenue uplift of more than 40%, demonstrating its effectiveness in driving financial growth and player satisfaction. In this session, we’ll reveal the mechanics behind our successful system.
12:00

 –

12:30

Inside Wargaming’s Recommendation System: Boosting Engagement and Monetization

Dmitriy Matveev
Head of Data Science & Strategy @ Wargaming

Data-Driven Game-dev Business: Building a Profitable Portfolio

Data analytics in Gaming
Use case
Intermediate
Creating one game is a miracle, but what about building a profitable portfolio and running a successful business? In this talk, we’ll explore how gaming companies can harness data to identify market opportunities and create profitable portfolios. Learn how to analyze market data to uncover opportunities, assess appealing genres, and forecast sales. We’ll cover key factors like game sales, growth rates, IPs vs. originals, SP vs. MP, and game quality and popularity. Discover how to combine this data with market research to build a powerful strategic decision-making tool for optimizing your business.
12:30

 –

13:00

Data-Driven Game-dev Business: Building a Profitable Portfolio

Nikola Vasiljevic
Head of Insights @ Mad Head Games

TBA

Realistic Interaction & AI-powered NPCs
13:00

 –

13:30

TBA

Constantin Berthelier
AI Narrative Designer @ Antler Interactive

Lunch Break

13:30

 –

14:30

Lunch Break

TBA

14:30

 –

15:15

TBA

TBA

Realistic Interaction & AI-powered NPCs
15:15

 –

15:45

TBA

Coffee Break

15:45

 –

16:00

Coffee Break

TBA

Augmented & Virtual Worlds
16:00

 –

16:45

TBA

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

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