Sava Centar, Belgrade

20-24th November 2023

DSC SCHEDULE

DATA & AI TALKS

CONGRESS HALL B


Opening
Opening
09:15

 —

09:30


Whose job does AI automate?

Opening keynote
Business talk
Let’s talk about the future of data science, exploring its evolution and potential in a world where the speed and complexity of automation is accelerating and generative AI is driving a new user experience revolution that’ll reshape the data science landscape. We will also explore the emergence of a new group of professionals who are bridging the gap between technical brilliance and valuable business directions. The keynote aims to inspire a new understanding of data science, not just as a buzzword, but as a discipline that makes data useful, reduces business risks, and automates processes through machine learning and AI. Join us as we envision the future of this exciting field.
Opening keynote
09:30

 —

10:15

Whose job does AI automate?

Cassie Kozyrkov
Founder & CEO, Data Scientific

Improving YouTube Recommender systems for big screen users

Generative AI
Technical talk, Business talk
Intermediate
Recommender systems at YouTube scale are massive. They contain a multitude of ML and heuristic models all focused on providing timely recommendations to billions of end users. The challenge in improving the recommendations comes from 3 major sources. First, we need to identify specific user needs and behaviors that are different when using a different platform (for example, users using smartphones have different expectations of the content vs. users watching YouTube on the TV in a shared household). Secondly, we need to identify the systems where investment would lead to improved performance (and similarly, make a decision if we improve the system for all or build anew). Finally, there is always a question of tradeoff in terms of measurability of the success and cost at which it comes with (for example, how would LLM investment look like). In this talk we will elaborate more on these aspects with special focus on how we address these challenges and opportunities that come with it.
Generative AI
10:15

 —

10:45

Improving YouTube Recommender systems for big screen users

Rein Zhang
Staff Software Engineer @ Google

Design and Evaluation of Large Language Models

Generative AI
Technical talk, Research talk, Educational talk
Intermediate
As many organizations are bundling large language models (LLMs) in their products, they face the problem of rigorous model selection. This talk gives a data-centric understanding of how LLMs are built and evaluated. We will discuss the limitations of current models and pay special attention to the available evaluation protocols. How do we distinguish good models from the others? What tasks and datasets should we try or avoid? How do we incorporate feedback from our users? We will present the guidelines the attendees can use in their future experiments.
Generative AI
10:45

 —

11:15

Design and Evaluation of Large Language Models

Dmitry Ustalov
Senior Machine Learning Engineer @ JetBrains

Coffee Break

11:15

 —

11:45

Coffee Break

Bringing AI to Your Data

Generative AI
Business talk
Intermediate
GenAI is a powerful technology that can be used to create new products, and services. However, GenAI can also be a security risk if it is not used in a secure, enterprise architecture. Google Cloud is committed to helping companies bring GenAI to their data in a secure, compliant way, and grounded in real corporate data. Let’s see how to start this with Google Cloud Platform, what technologies will be beneficial for you, what new improvements we are introducing and how we may help you today.
Generative AI
11:45

 —

12:15

Bringing AI to Your Data

Tomasz Czarnecki & Vanja Melnik
Data, Analytics & AI Product Specialist CEE @ Google, Cloud Adriatics @ Devoteam Serbia & Business Development Google Cloud Adriatics @ Devoteam Serbia

Retrieval Augmented Generation

Generative AI
Technical talk
Intermediate
Retrieval Augmented Generation (RAG) combines the concepts of semantic search and LLM-based text generation. When a person makes a query in natural language, the query is compared to the entries in the knowledge base and most relevant results are returned to the LLM, which uses this extra information to generate more accurate and reliable response. RAG can therefore limit hallucination and provide accurate responses from reliable source. In this talk, we will present the concept of RAG and underlying concept of semantic search, and present available libraries and vector databases.
Generative AI
12:15

 —

12:45

Retrieval Augmented Generation

Spela Poklukar & Tea Brasanac
Data Discipline Lead and ML Consultant @ Endava & Data Scientist @ Endava

Our way to a data-driven enterprise – A Journey by Bosch

Keynote
Keynote
12:45

 —

13:30

Our way to a data-driven enterprise – A Journey by Bosch

Rainer Metje & Wolfgang Klein
Vice President – Data and Integration Platforms @ Bosch Digital & Director Data as a Service / Data Lakes @ Bosch

Lunch Break

13:30

 —

14:30

Lunch Break

Greetings

Official Opening
Official Opening
14:30

 —

15:00

Greetings

Alex Linc & Nicola Pontanara & H.E. Edward Ferguson
Managing director @ DSC Franchize & World Bank Country Manager for Serbia & British Embassy Belgrade

Enhancing Text Classification & Prediction Models for Complex Construction Industry Data

Generative AI
Technical talk, Business talk
Intermediate
We address the challenge of classifying diverse texts into over a hundred categories within the context of construction industry tenders. Our dataset comprises more than a million paragraphs related to tenders, encompassing 22,000 potential products from over 100 categories and suppliers. Each tender involves over 300 positions, which necessitates substantial manual effort for tagging over the span of a month. To tackle this, we employ a fasttext model with customized embeddings for predicting product and supplier categories. A pivotal enhancement involves merging less common suppliers and categories with more prevalent and relevant ones, thereby significantly reducing irreducible errors. Notably, setting probability thresholds based on uniform distribution in relation to possible outcomes greatly improves model performance. Our model achieves favorable metrics across a broad range of categories (approximately 256 suppliers and 170 categories). For product categories, the model demonstrates Accuracy ranging from 0.82 to 0.87 and F1 Micro from 0.43 to 0.59. Similarly, supplier prediction showcases Accuracy of 0.73 to 0.82 and F1 Micro of 0.47 to 0.52. For product prediction, we adopt a distinct methodology. Leveraging pretrained LLM models, notably BERT, we further fine-tune them for paired text sources. We utilize tender specification text at the paragraph level as well as product descriptions as inputs. Model training entails creating embedding vectors considering both sources. During production, we compute embedding vectors for new tender positions, subsequently identifying the most analogous product vector. The model attains a 70% accuracy rate for the top 30 closely matched products. Future refinement lies in deeper domain data insights and potentially integrating rule-based approaches. The latter involves comparing predicted products with established hierarchical product taxonomies, serving as valuable tools for diverse business practices.
Generative AI
15:00

 —

15:30

Enhancing Text Classification & Prediction Models for Complex Construction Industry Data

Vitomir Jovanovic & Katarina Arandjelovic
Senior Data Scientist @ Bosch & Junior Software Engineer @ Bosch

Transforming the Search Industry with LLM Using Source Frontier

Transforming industries with AI
Technical talk, Business talk
Intermediate to Advanced
Recently we witnessed the capabilities of Large Language Models, such as Bard, GPT, Claude, in terms of generating scientific hypotheses, essays, code scripts, board games etc. This brings up the question whether this technology will replace search engines. On the other hand, LLMs are limited by a lack of innate knowledge and often struggle with questions that require factual answers, which is the main application of search engines. This talk will describe a way of overcoming LLMs’ unpredictable behavior and hallucinated information using Source Frontier from Information Retrieval formed of tens of billions vectorized text segments. This genuinely innovative technology enables LLM not only to generate correct answers, but also provides validation from multiple sources of information.
Transforming industries with AI
15:30

 —

16:00

Transforming the Search Industry with LLM Using Source Frontier

Miodrag Vladic
Co-Founder & Lead Software Engineer @ YottaAnswers

Coffee break

16:00

 —

16:30

Coffee break

Augmented Retrieval Products with GAI models

Generative AI
Technical talk, Business talk, Research talk, Educational talk
Intermediate
This session will provide a balanced insight into the technical development and business-centric application of augmented retrieval products, utilizing Generative AI models. We will traverse from requirements engineering to prototyping and user acceptance testing, spotlighting the critical role of optimizing vectorizers for superior smart search functionality within a business ecosystem. A substantial focus will be on demonstrating the deployment of these advanced models on Azure infrastructure, ensuring scalable and efficient solutions. Additionally, the integration of strategic feedback mechanisms will be addressed, essential for perpetually enhancing the quality of answers and aligning products with evolving business goals and user requisites, ultimately fostering refined decision-making and improved business operations.
Generative AI
16:30

 —

17:00

Augmented Retrieval Products with GAI models

Marcel Tkacik
Data Science Manager, Generative AI Lead @ PwC Austria

Data storytelling in the era of generative AI

Generative AI
Technical talk, Business talk
Intermediate
Dive deep into the revolutionary convergence of Large Language Models (LLM) and clustered consumer data. This cutting-edge service transforms traditional consumer research, allowing marketers to interact in real-time with evidence-informed synthetic personas. With the power of LLM, these personas not only represent compelling narratives of consumer segments but also respond dynamically using natural language. Gone are the days of static data points; enter a new era where consumer personas come to life, offering richer insights and a truly interactive experience. This session explores the journey from ideation to launch, the challenges faced, and the profound implications for the marketing and data science communities. Join us to witness a paradigm shift in understanding consumer behavior through AI.
Generative AI
17:00

 —

17:30

Data storytelling in the era of generative AI

Diego Marano
Chief Product Officer @ Qudo

Chronicles of Change: Will Our Pursuit of Responsible AI Rewrite (or Repeat) World History?

Closing Keynote
The world of AI is spinning, and our heads are spinning with it. Hardly a day goes by without major AI players dropping world-changing news. Hardly a week without nations or international organizations announcing new Responsible AI legislation or Responsible AI governance initiatives. Who can still keep up with that?! Let’s take a moment to pause. Let’s take a moment to reflect. And let’s embark on a trip through history – from chocolate bars, to car safety features, to European colonialism – to uncover and draw from lessons learned that, despite pre-dating AI’s increasing prevalence in society, nonetheless hold the power to guide us in our pursuit of Responsible AI globally.
Closing Keynote
17:30

 —

18:15

Chronicles of Change: Will Our Pursuit of Responsible AI Rewrite (or Repeat) World History?

Alexandra Ebert
Chief Trust Officer @ Mostly AI

Day recap

18:15

 —

18:30

Day recap

CONGRESS HALL A

Break

09:15

 —

10:15

Break

From Data Lakes to Data Mesh – The Evolution of redmesh

Data Engineering
Educational talk, Business talk
Intermediate to Advanced
Let us take you with us on our journey to redmesh – Bosch Digital’s realization of the data mesh concept as enabler for our digital business and foundation for a data-driven enterprise. Follow us from local databases, via data lakes to data mesh, a federated sociotechnical approach to share, access and manage analytical data in enterprise and large-scale environments by providing a maximum of flexibility and autonomy to our customers while ensuring interoperability and standardization. The redmesh self-service data platform provides almost Petabyte of enterprise data stored in different distributed objects, enabling significant increase of data consumption and faster ad-hoc analysis based on Data Products. We innovate products, processes and company through data! We maximize the value of data for Bosch!
Data Engineering
10:15

 —

10:45

From Data Lakes to Data Mesh – The Evolution of redmesh

Predrag Ilic & Simeon Rilling
Cloud Tech Lead @ Bosch & Product Owner Enterprise Data Lake @ Bosch Digital

Using Semarchy to Master Data Management

Data Engineering
Technical talk
Beginner to Intermediate
Master data is a key organizational data asset, also known as a golden record or master record. It contains the newest and up-to-date information that are needed for the business. One example is master data with information regarding customer details, sales report, sold products and more. Using master data establishes a standard definition for business-critical information and this information is shared across the enterprise with one purpose – to make better business decisions. Master data management on the other hand is one of the many types of data management. It is the core process of centrally managed business information that can be critical. Every company uses multiple applications, has multiple data sources and destinations, different systems across the departments – this brings us the main problem, different versions of the same data between the systems. Only one version can be updated, that means the other one will remain the same. So, we can define master data management as a continuous process of using a single version of the current and correct information that will allow the organizations to make decisions.
Data Engineering
10:45

 —

11:15

Using Semarchy to Master Data Management

Cvetanka Eftimoska
Senior Technical Consultant @ IWConnect

Coffee Break

11:15

 —

11:45

Coffee Break

Intro to GKE setup of airflow with helm and terraform

Data Engineering
Technical talk, Educational talk
Beginner to Intermediate
In this talk would be sharing the knowledge of how Airflow is hosted in the Gitlab and how Pod scheduling have been leveraged at scale. Also would be talking about how we have leveraged Terraform for GKE setup and used helm for airflow upgrade.
Data Engineering
11:45

 —

12:15

Intro to GKE setup of airflow with helm and terraform

Ved Prakash
Staff Data Engineer @ Gitlab

A Journey of Auditlogs from Kafka to Elastic Search

Data Engineering
Technical talk
Beginner to Intermediate
Audit logs are essential part of the dataflow when multiple users modifying the business critical data. Who modified the data is not enough sometime but it also important to know when and what has changed to track the trail. In single mono application it was easier since all the data is centralised at one place. But with micro services this is even harder due to different ownership and data models. As these are audit logs so critical so any lost change could be potential loss. This session is focused on how we have built centralised audit logging platform that can handle any kind of changes performed on different data models. This can scale until what level is required by using managed cloud services Kafka (MSK) and Open Search (Elastic Search). With ultra warm storage this can help to search the data even faster. I will show the whole Architecture as well as demo of the audit log service including how to search the data on Open Search (Elastic Search).
Data Engineering
12:15

 —

12:45

A Journey of Auditlogs from Kafka to Elastic Search

Muhammad Arslan
Big Data/AI Architect @ INVIDI Technologies AB

Break Annex 1

12:45

 —

13:15

Break Annex 1

Main legal risks and challenges with LLMs / generative AI models

Panel Discussion
Panel Discussion
12:45

 —

13:30

Main legal risks and challenges with LLMs / generative AI models

Marija Vlajkovic & Rania Wazir & Heiko Hotz, Moderated by Dalibor Marinovic
Partner for data protection @ Moravčević Vojnović i Partneri in cooperation with Schoenherr & Co-founder and CTO @ leiwand.ai & Founder @ NLP London, Member of Group of Innovation in Public Policy @ Public Policy Secretariat of the Republic of Serbia

Lunch Break

13:30

 —

14:30

Lunch Break

The Art and Science of Infographic Design

Augmented Analytics
Educational talk
Beginner to Intermediate
Merging Creativity with Data Analysis. Discuss decision making in data analytics, and the delicate balance between creativity and data-driven decision-making in infographic design. Show real-world examples of how data analysts can unleash their creativity while maintaining data accuracy.
Augmented Analytics
15:00

 —

15:30

The Art and Science of Infographic Design

Maxim Gorbachevskiy
CEO & Chief infographer @ Infographer

Visual Design – Do not let Data be your cul-de-sac!

Augmented Analytics
Business talk
Beginner to Intermediate
This session on Visual Design will focus on and provide an overview of how can one create clean and aesthetic data visualizations. Based on different examples & features from BI Tools this session will provide an overview on the best practices helping the users to better understand their data. This will consequently equip the users to tell compelling stories, innovate, make sustainable business decisions, and avoid getting stuck in a data dead-end.
Augmented Analytics
15:30

 —

16:00

Visual Design – Do not let Data be your cul-de-sac!

Rutuja Pawar
Visualization & Interaction Science Consultant @ Accenture DACH

Coffee break

16:00

 —

16:30

Coffee break

Driving Business Success – Measurable Results and Revolutionized Sales Strategies powered by Artificial Intelligence

Augmented Analytics
Business talk
Advanced
Talk and presentation aim to share revolutionized sales strategy of Banca Intesa Belgrade driven by Artificial Intelligence. CRM department was the initiator and leader of the journey in which Bank evolved from sales force self-initiative to Artificial Intelligence driven sales model. Primary goal is to share, from our first-hand experience, key elements of implemented strategy to set Artificial Intelligence at the core of Bank business sales model and most importantly measurable real-world results of this successful strategy.
Augmented Analytics
16:30

 —

17:00

Driving Business Success – Measurable Results and Revolutionized Sales Strategies powered by Artificial Intelligence

Miroslav Grbovic
Head of CRM @ Banca Intesa Belgrade

Light Formula for Chromaphone Analysis of the Words in the Multimedia Content, using Big Data Analytic Models

Augmented Analytics
Technical talk, Research talk, Educational talk
Beginner to Intermediate
A light formula is a mathematical form showing in which way the rough energy of sound is transformed into tender charges of nerve impulses and significations. This formula enables the calculation of the light condition of the words through which we penetrate from the world of physics into a world of archetypes. Lights and sounds are linked in the unique formula: S = 1.71055 – 0:00301L Where: S –phonetical coefficient of the word L – frequency of the light The authors of this paper analyzed words in three languages: 1) Serbian, 2) English and 3) Spanish. This paper provides an algorithm for calculating Chromaphones. An example was given chromaphone calculating and inserting in the song from Gipsy King: Bamboleo.
Augmented Analytics
17:00

 —

17:30

Light Formula for Chromaphone Analysis of the Words in the Multimedia Content, using Big Data Analytic Models

Petar V. Kocovic & Muthu Ramachandran
Full professor @ Nikola Tesla University & Educational and Research Consultant

CONGRESS HALL C

Break

09:15

 —

10:15

Break

An AI assistant for football tactics

Deep Learning
Technical talk, Research talk
Intermediate
When competing at the highest level of modern association football, the margins are incredibly tight, and it is increasingly important to be able to capitalize on any opportunity for creating an advantage on the pitch. To that end, top-tier clubs employ diverse teams of coaches, analysts and experts, tasked with studying and devising (counter-)tactics before each game. However, the analysis and execution of agreed-upon plans by players on the pitch is highly dynamic and imperfect, depending on numerous factors including player fitness and fatigue, variations in player movement and positioning, weather, the state of the pitch, and the reaction of the opposing team. In this talk, I will describe TacticAI, an AI football tactics assistant we have developed and evaluated towards this end, in close collaboration with domain experts from Liverpool FC.
Deep Learning
10:15

 —

10:45

An AI assistant for football tactics

Petar Velickovic
Staff Research Scientist @ Google DeepMind

Connecting the Dots: Classic Techniques to Overcome Deep Learning’s Limits

Deep Learning
Technical talk, Business talk, Research talk
Beginner to Intermediate
Explore real-world use cases that push the boundaries of deep learning. This talk delves into production scenarios where cutting-edge AI methods met their limits, necessitating additional optimizations. Discover how classic techniques were seamlessly integrated to bridge the gaps. From computer vision to solving hard optimization problems, this session highlights instances where classic methodologies played a pivotal role. Join us to unravel the synergy between AI’s forefront and timeless approaches, reshaping your data science perspective.
Deep Learning
10:45

 —

11:15

Connecting the Dots: Classic Techniques to Overcome Deep Learning’s Limits

Sead Delalic
Assistant Professor @ University of Sarajevo & AI Consultant @ Info Studio d.o.o.

Coffee break

11:15

 —

11:45

Coffee break

Adversarial Attacks

Deep Learning
Research talk, Educational talk
Intermediate
Adversarial attacks are techniques used in the filed of Machine Learning in intentions to cheat the models through bad entries. These attacks are used form various reasons, and one of the most common is an attack or causing a “breakdown” in standard models of Deep Neural Networks. Solution for these attacks have not yet been found and there are more and more works that are being done on this topic in the hope that a solution will be found, because DNN are relatively easy to fool.
Deep Learning
11:45

 —

12:15

Adversarial Attacks

Aleksandar Tomcic
Teaching Assistant @ Faculty of Science, University of Novi Sad

Unveiling the Unseen: Visualizing the Attention Mechanism in Transformer Models

Deep Learning
Technical talk, Educational talk
Beginner to Intermediate
The attention mechanism is the cornerstone of the exceptional success achieved by Transformer models across a wide range of various tasks. This talk will present the intricacies of the attention mechanism within Transformers, and explore the significance of visualizing its inner workings. By shedding light on how attention patterns evolve throughout different layers and heads, we can gain important insights about the behavior and potential biases of large language models. We will showcase the tools and techniques that enable us to convert abstract concepts into intuitive visualizations, aiding researchers and practitioners to better comprehend the model’s decision-making process.
Deep Learning
12:15

 —

12:45

Unveiling the Unseen: Visualizing the Attention Mechanism in Transformer Models

Catalin Hanga
Data Scientist @ Iveco Group

Break Annex 2

12:45

 —

13:15

Break Annex 2

Open Data in Public Use

Panel Discussion
Panel Discussion
12:45

 —

13:30

Open Data in Public Use

Mihailo Gajic & Andreja Gluscevic & Srdjan Verbic, Moderated by Sanja Arizanovic
Executive Director @ Libertarian club Libek & Open Data Coordinator @ Office for Information Technologies and eGovernment & Associate Professor @ FEFA, Open Data Project Coordinator @ UNDP

Lunch break

13:30

 —

14:30

Lunch break

Opening up the box: the complexity of human interaction with AI systems

AI Safety
Technical talk
Intermediate
AI systems are human-made: This fact is so obvious, that we often overlook it. From inception until disposal, an AI system is shaped by human decisions. Questions such as which types of AI research to fund, and how many resources to commit; which functionalities a particular AI system should have, and what the optimization function should be; where training data should come from, what is to be classified and how, and how to interpret system outputs – these are all decisions made by people. AI systems do not operate in a vacuum. Our inputs define the system, and the system outputs, in turn, influence their environment, affecting us and our world. This is the key, both to recognizing the risks of AI, and to understanding how to mitigate them.
AI Safety
15:00

 —

15:30

Opening up the box: the complexity of human interaction with AI systems

Rania Wazir
Co-founder & CTO @ leiwand.ai

Generative AI: Impact of Responsible AI

AI Safety
Use case, Transformational talk
Advance
Today, we embark on a journey into the realm of Generative AI (Gen AI), a force of innovation and possibility. We’ll not only unveil the vast opportunities it offers but also confront the ethical challenges it poses. In the spirit of responsible innovation, we’ll then dive deep into Responsible AI, illuminating the path to its implementation in this era of Gen AI. Join us for a profound exploration of this technological frontier, where our commitment to responsibility and foresight shapes the future.
AI Safety
15:30

 —

16:00

Generative AI: Impact of Responsible AI

Shahab Anbarjafari
iCV Lab at University of Tartu/Director @ PwC Finland & Cofounder @ iVCV

Coffee break

16:00

 —

16:30

Coffee break

Navigating the Risks: Evolution of AI Governance from Traditional to Generative AI

AI Safety
Business talk
Beginner to Intermediate
The adoption of AI in enterprises has more than doubled between 2017 and 2022. This increase is expected to continue as business leaders recognize the importance of advanced Generative AI for gaining a competitive advantage. However, along with this growth comes the challenge of ensuring trustworthy and responsible use of AI systems. As new regulations are introduced, AI governance is transitioning from being practical to being essential. It is crucial to understand how LLMs (Language Model Models) introduce new risks to trustworthy AI and how this impacts the requirements on AI governance. Take this moment to reflect upon what AI Governance will look like in the age of Generative AI.
AI Safety
16:30

 —

17:00

Navigating the Risks: Evolution of AI Governance from Traditional to Generative AI

Therese Svensson
AI Governance & AI Ethics SME for Northern, Central & Eastern Europe @ IBM

How intelligent is artificial intelligence?

AI Safety
Technical talk
Intermediate
The recent introduction of ChatGPT as the first conversational interface powered by large language models generated a lot of misinformation about the nature of artificial intelligence derivative technologies. How can we build a more nuanced perspective and ensure we are not mislead by sensationalized tech reporting?
AI Safety
17:00

 —

17:30

How intelligent is artificial intelligence?

Wafaa Ziane
NLP engineer @ NewFire Global Partners

MR 7

How is it to lead an all-remote, globally distributed team?

Data-Driven Culture in Organisations
Transformational talk
Intermediate
In my talk I want you to take with me on my journey at GitLab, building, developing and leading a Data Platform Team.
Data-Driven Culture in Organisations
11:00

 —

11:30

How is it to lead an all-remote, globally distributed team?

Dennis van Rooijen
Director Data Platform, GitLab

Coffee break

11:30

 —

12:15

Coffee break

How to screw Agile and digital transformation

Data-Driven Culture in Organisations
Transformational talk
Intermediate to Advance
Agile became a mainstream, and companies are rushing into a „new way of working“, copying each other and trying to follow one-size-fits-all model which, surprisingly, doesn’t work the same for all. I would like to share lessons learnt from or journey through Valley of tears, in which many mistakes were made,…. And we are still walking.
Data-Driven Culture in Organisations
12:15

 —

12:45

How to screw Agile and digital transformation

Davor Gasparac
Senior Program Manager, BA Chapter Lead & Agile Coach, Erste Digital GmbH

Innovative Ways to Unlocking the Full Potential of the Payments Business

Keynote
In today’s highly competitive business environment, portfolio optimization holds the key to unlocking the full potential of the payments business. Roberto De Meo, Vice President, Visa Consulting & Analytics (VCA) at Visa CEMEA, discusses how active portfolio management can boost profitability, key trends and novel approaches across the industry, and what the work of VCA reveals about best practices.
Keynote
12:45

 —

13:30

Innovative Ways to Unlocking the Full Potential of the Payments Business

Roberto De Meo
Vice President, Visa Consulting & Analytics, Central and Eastern Europe, Middle East and Africa

Lunch break

13:30

 —

14:30

Lunch break

Evolving Technology Excellence; Dual Leadership Experience and staying on the bleeding edge of AI

Keynote
Keynote
14:30

 —

15:15

Evolving Technology Excellence; Dual Leadership Experience and staying on the bleeding edge of AI

Goran Savic & Stefan Mrsic
Director of technology, Tech Excellence @ HTEC & Senior Director of Engineering and Delivery @ HTEC

Leading with Data: Crafting an Effective Strategy for 2023 and Beyond

AI & Data Strategy
Use case
Intermediate
In a rapidly evolving digital world, an effective data strategy is crucial for executives to lead with confidence. This talk not only underscores the importance of crafting a solid data strategy but also provides a step-by-step methodology to achieve it. Learn why a data-driven approach is essential for competitive edge and informed decision-making. Walk away with actionable insights to future-proof your organization and guide it toward long-term success.
AI & Data Strategy
15:15

 —

15:45

Leading with Data: Crafting an Effective Strategy for 2023 and Beyond

Luka Anicin
Founder & AI/Data Consultant @ Datablooz

Growth Hacking – the next best thing to transform digitally?

AI & Data Strategy
Use case, Transformational talk
Intermediate to Advance
Uncover the essence of Digital Transformation and the game-changing role of Marketing Analytics. In this talk we will demystify together growth hacking as a company-wide initiative with its potential to succeed or fail. But that’s not all – we will immerse ourselves in an interactive RFM model demo to decode customer insights and boost lifetime value. Are you ready to discover how visionary leaders embrace revolution and catapult their business strategies and success to new heights? See you in Belgrade!
AI & Data Strategy
15:45

 —

16:15

Growth Hacking – the next best thing to transform digitally?

Nikolay Nikolov
Founder, Data Science Partner, Centrycs Ltd

Coffee break

16:15

 —

16:45

Coffee break

Revolutionizing AI Adoption: Harnessing No-Code Solutions for Efficient AI & ML Development

AI & Data Strategy
Use case, Transformational talk
Beginner to Intermediate
In this executive-focused talk, we delve into the transformative potential of no-code tools and interfaces for AI and ML development, including MLOps. As the business world increasingly embraces AI-driven solutions, no-code platforms enable professionals from diverse backgrounds to design, deploy, and manage ML models without the necessity for in-depth coding skills. This presentation showcases cutting-edge no-code AI and ML technologies that simplify the development, integration, and management of AI systems, allowing organizations to drive innovation at an accelerated pace
AI & Data Strategy
16:45

 —

17:15

Revolutionizing AI Adoption: Harnessing No-Code Solutions for Efficient AI & ML Development

Mikhail Rozhkov
Founder, Machine Learning REPA

The AI-Based Banking Era

AI & Data Strategy
AI & Data Strategy
17:15

 —

17:45

The AI-Based Banking Era

Gianluca Berghella
President & CEO @ Armundia Group

Break

17:30

 —

18:15

Break

Break

18:15

 —

18:30

Break

BREAKOUT SESSIONS

MR 8

Synthetic data

09:50 – 10:10   How we built synthetic consumer personas and made them talk to us as if they were alive

Michael Sigamani
Chief Data Officer @ Qudo

Leveraging breakthrough in LLM and our rich clustered consumer data we built systems that not only make sense and write compelling narrative about consumer personas, but we brought these personas to life. Our software enables marketers to chat to segments using natural language and get responses as if those personas were alive. This is a revolution in consumer research as it enables synthetic evidence-informed personas generate synthetic responses (synthetic data).



10:10 – 10:45   Panel discussion

Michael Sigamani & Marija Vlajkovic
Chief Data Officer @ Qudo, Chief Trust Officer @ Mostly AI, Partner for data protection @ Moravčević Vojnović i Partneri in cooperation with Schoenherr
09:50

 —

10:45

Synthetic data

Michael Sigamani, Marija Vlajkovic

Breakout break BS3

13:00

 —

14:30

Breakout break BS3

Fake News & Data-driven Journalism

14:30 – 14:50   Automatic Detection of Fake News

Alexey Burnakov
Senior Data Scientist @ Russian News Agency TASS

Using tabular machine learning and deep-learning tools to predict the fakeness of the news in Russia.



14:50 – 15:10   Data Journalism, challenges and case studies

Miodrag Markovic
Data Journalist @ BIRN Srbija

My intention is to describe key challenges data journalism has in Serbia and in general, and what can be improved for the purpose of data-journalism community and broader public. Also, I plan to present tools we use for our everyday work and show some data stories we produced, including case studies.



15:10 – 15:30   Narrating Numbers: The Imperative of Data Stories in Enhancing Marketing Strategies

Natalya Vasilevskaya
Data Analytics Team Lead @ Profee

In a world inundated with information, the field of marketing has witnessed a paradigm shift towards data-driven strategies. This talk explores the critical role of data stories in enhancing marketing efficacy and the burgeoning need for integrating data journalism principles. By transforming raw data into compelling narratives, marketers can craft more persuasive and impactful campaigns, fostering a deeper connection with their audience. Attendees will gain insights into the art and science of crafting data stories, the potential of data journalism in marketing, and practical strategies for leveraging data narratives to boost sales and brand engagement. The talk aims to equip marketing professionals with the knowledge and tools to harness the power of data-driven storytelling, ultimately elevating the impact of their marketing initiatives in a competitive landscape.



15:30 – 16:00   Panel discussion

Alexey Burnakov, Miodrag Markovic, Natalya Vasilevskaya
Senior Data Scientist @ Russian News Agency TASS, Data Journalist @ BIRN Srbija, Data Analytics Team Lead @ Profee)
14:30

 —

16:00

Fake News & Data-driven Journalism

Alexey Burnakov, Miodrag Markovic, Natalya Vasilevskaya

MR 10

Data-driven Telco

9:50 – 10:10   Machine Learning in Telco

Djordje Hirs
Data Science Manager @ Yettel

Application of machine learning in telco industry



10:10 – 10:30   Exploring the Telco Landscape: A Data-Driven Journey

Irena Slijepcevic
Data Analyst @ Telekom Srbija

“My presentation will take you on a journey through the Telco landscape from a data-driven perspective. I will focus on the essential objectives and advantages of adopting a data-driven approach within my organization. Also, I will discuss the methodologies and strategies that are crucial to ensuring the achievement of our goals. This will include providing you with practical insights, as well as presenting real-world use cases that showcase the impact of data-driven solutions in the dynamic Telco industry.”



10:30 – 11:00   Panel discussion

Djordje Hirs & Irena Slijepcevic & Kristina Josifovic & Uros Urosevic
Data Science Manager @ Yettel & Data Analyst @ Telekom Srbija & Data Analyst @ Telesign & Data Engineer @ Telesign
09:50

 —

11:00

Data-driven Telco

Djordje Hirs, Irena Slijepcevic, Kristina Josifovic, Uros Urosevic

Breakout Break BS2

11:00

 —

11:30

Breakout Break BS2

Autonomous driving

12:15 – 13:00   Panel: Autonomous driving

Vladimir Matic & Ivan Popovic & Uros Urosevic
Manager Computer Vision @ Rivian & Director of Engineering & Delivery @ HTEC Group & Data Engineer @ Telesign
12:15

 —

13:00

Autonomous driving

Vladimir Matic & Ivan Popovic & Uros Urosevic

Breakout break BS 2

13:00

 —

14:30

Breakout break BS 2

Breakout break BS3

13:00

 —

14:30

Breakout break BS3

MR 12

How to lead AI Teams

9:45 – 10:00  Building Data Driven Teams and Careers

Vitomir Prostran
PSO BI/Data Engineering Manager @ NCR

How to effectively organize a data team which achieves its goals and targets while keeping team members motivated and influence them to continuously grow and achieve their career goals.



10:00 – 10:15   Leading AI teams

Josip Saban
CEO @ Meridian Data



10:15 – 10:45   Panel discussion

Vitomir Prostran & Josip Saban & Karl Ivo Sokolov & Marijana Vujadinovic
PSO BI/Data Engineering Manager @ NCR & CEO @ Meridian Data & Managing Partner | Data @ Specific-Group Austria & Senior Data Scientist @ Telesign
09:45

 —

10:45

How to lead AI Teams

Vitomir Prostran, Josip Saban, Karl Ivo Sokolov, Marijana Vujadinovic

Breakout Break BS3

11:00

 —

11:30

Breakout Break BS3

AI Philosophy

11:30 – 11:45   Greek Philosophy and Artificial Intelligence

Iliada Evangelia Kothra
Content Creator @ Living Postcards

What would Plato or Aristotle think of AI? How can we use the logic of Greek Ancient Philosophy in order to teach machines ethics?



11:45 – 12:00   AI Ethics and Vedantic Worldview

Raja Kanuri
PhD Candidate @ VU Amsterdam, globalethics.ai

The research project which I am leading tries to explore how the vedantic worldview perceives the AI ethics’ frameworks. It positions AI systems as objects of interaction and investigates what value additions vedanta can offer to AI ethics with spiritual wellbeing of the users as central focus.



12:00 – 12:15   The Stochastic Parrot & The Meat Machine: A Minimal Account of Linguistic Competence

Vanja Subotic
Research Assistant @ University of Belgrade, Institute of Philosophy at the Faculty of Philosophy

In this talk, I tackle the issue whether LLMs can help us illuminate linguistic competence in humans. One of the core principles of the linguistic theory is Chomsky’s competence vs. performance distinction: humans are endowed with innate, rule-governed, domain-specific syntactic competence, whereas their linguistic behavior may be stochastic and “sullied” with idiosyncrasies and errors. I argue that the careful analysis of architectural features of LLMs provides solid ground for discarding this distinction and construe human syntactic competence as integrated with performance, stochastic, pattern-based, and stemming from domain-general mechanisms. On the other hand, in the case of semantic competence, the case for LLMs is much weaker and their further development may benefit from the embodied approaches to human cognition to better account for semantic reference.



12:15 – 12:30   Essential Epistemic Opacity and AI-Driven Data Research

Bojan Milunovic
PhD student @ Faculty of Philosophy – University of Belgrade

Essential epistemic opacity (EEO) is defined as a property of knowledge-generating procedures that are incomprehensible for human cognitive agents due to their reliance on technologies so complex that it becomes impossible for any singular epistemic subject to ascertain their ultimate reliability. This presentation aims to adapt the contemporary discussion about EEO to the field of AI-driven data research. It posits two key questions: what is the appropriate unit of epistemic analysis when it comes to AI-driven research; and can we justifiably rely on empirical software design to make these processes less “opaque”?



12:30 – 12:45   Artificial Intelligence and the Future of Humans – Ethical aspects

Ivana Greguric
Associate Professor @ Faculty of Croatian Studies, University of Zagreb

Through the lecture, the philosophical and ethical aspects of the future of man and humanity will be presented, focusing on questioning what is and what constitutes essence of being human in the coexistence with machines and artificial intelligence. The influence of modern techniques on man and society creates a new cybernetic, scientific-technical paradigm that lays a radically new foundation for the production of all kinds of life and the relationship between human, science and technology. The achievements of convergent technologies, artificial intelligence (AI) and human cyborgization will be presented, which lead to the creation of a new type of “man” and cause changes in the human natural structure and society. There arise fundamental questions such as: what is man today (descriptive aspect) and what should a human being be (normative aspect)? Special emphasis will be placed on the visions of the creation of the posthuman in the new scientific and technical reality of artificial intelligence. In doing so, the questions of the ethical development of artificial intelligence in relation to man, that is, man’s relationship to artificial intelligence, are raised. We will show the ethical dilemmas of technological progress through a philosophical and bioethical evaluation focused on the need for new ethical principles – cyborg ethics as an important philosophical and bioethical consideration of the essence of human improvement.



12:45 – 13:15   Panel discussion

Iliada Evangelia Kothra & Raja Kanuri & Vanja Subotic & Bojan Milunovic & Ivana Greguric
Content Creator @ Living Postcards & PhD Candidate @ VU Amsterdam, globalethics.ai & Research Assistant @ University of Belgrade, Institute of Philosophy at the Faculty of Philosophy & PhD student @ Faculty of Philosophy – University of Belgrade & Associate Professor @ Faculty of Croatian Studies, University of Zagreb
11:30

 —

13:15

AI Philosophy

Iliada Evangelia Kothra & Raja Kanuri & Vanja Subotic & Bojan Milunovic & Ivana Greguric

Breakout break BS3

13:00

 —

14:30

Breakout break BS3

DiplAI – AI in Diplomacy

15:30

 —

17:00

DiplAI – AI in Diplomacy

Rania Wazir, Gunda Ehmke, Irena Cerovic, Nebojsa Bjelotomic

CO-LOCATED EVENTS

MR 9

An open dialogue about the state of crypto, especially Ethereum

Keynote
Keynote
09:45

 —

10:30

An open dialogue about the state of crypto, especially Ethereum

John Lilic
Angel Investor, Crypto-Economic Builder, Seed Investor and Product Advisor

Blockchain solutions: Ready for business

Blockchain & Cryptoanalytics
Business talk
Beginner to Intermediate
Since the first use case of blockchain technology in 2009, we have witnessed emerging blockchain technology solutions and their various cycles. But which solutions are today ready to be implemented in multiple systems that will give you the much-needed business advantage? Who are the pioneers, and what is their experience with blockchain technology?
Blockchain & Cryptoanalytics
10:30

 —

11:00

Blockchain solutions: Ready for business

Tanja Bivic Plankar
President of Blockchain Alliance Europe, Blockchain Alliance Europe

How blockchain can enable a better and more ethical AI

Blockchain & Cryptoanalytics
Business talk, Educational talk
Beginner to Intermediate
“With the development acceleration never seen before in business and our lives in general, the AI domain is facing unprecedented challenges, including the ethical dilemmas of AI misusage in areas like deepfakes (fake news, fake content etc…), compliance avoidance or generally massive errors in the systems due to incorrect or biased model training.

Contrary to fluid nature of AI, blockchain enables transparency and traceability of every action, providing a rigid structure to ensure predictable outcomes. This presentation aims to demonstrate harmonic usage of blockchain and AI, to ensure significantly more reliable, effective, and ethical use of AI.”
Blockchain & Cryptoanalytics
11:00

 —

11:30

How blockchain can enable a better and more ethical AI

Ida Pandur
CEO, Near Balkan

Crypto tokenization of financal markets and real world assets

Blockchain & Cryptoanalytics
Business talk, Educational talk
Beginner to Intermediate
Blockchain infrastructures and decentralized technology are gaining traction by financial giants, investors and businesses. Digital crypto tokens and DeFi solutions not only challenged traditional financial markets but also initiated its transformation far beyond cryptocurrencies. Tokenization of financial instruments, real world asset and AI has transcended its beginning’s to pivotal force shaping the future of digital economy and business models transformation. This talk will cover the basics of tokenization economics, tokenization framework, use cases and potentials.
Blockchain & Cryptoanalytics
11:30

 —

12:00

Crypto tokenization of financal markets and real world assets

Aleksej Misailovic