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Sava Centar, Belgrade

20-24th November 2023

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DATA & AI TALKS
BREAKOUT SESSIONS
CO-LOCATED EVENTS

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

Download

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
Download

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
Head of Advisory & Tokenomics, Eko Digital

Coffee Break

12:00

 —

12:30

Coffee Break

Navigating Scams, Social Engineering, and Friendly Fraud – Strategies for Merchant Protection and Customer Trust

Web3 & DAO
Business talk, Educational talk
Intermediate to Advanced
In my conference talk, I’ll delve into “Navigating Scams, Social Engineering, and Friendly Fraud – Strategies for Merchant Protection and Customer Trust.” I’ll spotlight effective methods for merchants to fortify their defenses against scams, discuss tactics related to scam prevention and detection, and address any challenges posed by friendly fraud and social engineering. By sharing some strategies, I’ll emphasize how these efforts safeguard both merchants and consumers, fostering trust and reputation.
Web3 & DAO
12:30

 —

13:00

Navigating Scams, Social Engineering, and Friendly Fraud – Strategies for Merchant Protection and Customer Trust

Ana Maria Anic
Head of FinCrime, MoonPay

Demolishing AI Gatekeepers

Web3 & DAO
Big Tech strangles the growth and innovation of AI by restricting supply of training data and AI hardware. In this talk James (Founder/CEO Superchain) will illustrate how Web3 can decentralise access to high quality verified Training Data and GPUs.
Web3 & DAO
13:00

 —

13:30

Demolishing AI Gatekeepers

James Corbett
Founder & CEO, Superchain Network

Lunch Break

13:30

 —

14:45

Lunch Break

Cryptica

Panel
Panel
14:45

 —

15:30

Cryptica

John Lilic & Johannes Pfferer & Srdjan Vukmirovic

Token Engineering: Unveiling the Toolkit and Practical Insights

Cryptocurrency & digital money
Technical talk, Educational talk
Beginner to Intermediate
In this talk, delve into the heart of Crypto economic Systems Engineering. Uncover the essential toolkit driving this innovative field and glean valuable insights from real-world practice. Explore how crypto economic systems are engineered, examining practical cases and lessons learned. Join us to demystify the complexities and leave with a profound understanding of how these systems are designed and applied in today’s digital landscape.
Cryptocurrency & digital money
15:30

 —

16:00

Token Engineering: Unveiling the Toolkit and Practical Insights

Aleksandar Damjanovic
Software Engineer @ MVP Workshop

Intro to crypto derivatives

Cryptocurrency & digital money
Research talk
Intermediate
Crypto is a relatively new industry. Over the past decade, crypto investors have primarily engaged in spot trading. Crypto derivatives first appeared in 2011, but trading accelerated only since 2014. Since then derivatives market share compared to spot trading grew and in the Q2 of 2023, derivatives volume was six times larger than spot volume. In this talk, we will briefly explore derivatives in crypto: what are derivatives, different types of derivatives (perpetual futures as a particular type in crypto markets), different trading strategies, risks, etc. We will also compare trading derivatives on centralized vs. decentralized exchanges.
Cryptocurrency & digital money
16:00

 —

16:30

Intro to crypto derivatives

Nikola Krivacevic
Software Engineer, Bitstamp

Coffee Break

16:30

 —

17:00

Coffee Break

Rewarding every sustainable commute with a new purpose-driven token

Cryptocurrency & digital money
Business talk
Beginner to Intermediate
Daily car commuting is responsible for 5% of global CO2 emissions making it one of the largest single-action polluters globally. Since every commute counts, Codos is creating a reward system for taking action on climate change by incentivizing sustainable commuting. The Codos App automatically detects which mode of transportation you are using, calculates the amount of CO2 avoidance, and then rewards you accordingly with the new purpose-driven Codos token.
Cryptocurrency & digital money
17:00

 —

17:30

Rewarding every sustainable commute with a new purpose-driven token

Marina Miletic
Head of Partnerships, The Codos Foundation

Tax issues of cryptocurrencies & NFT

Cryptocurrency & digital money
Cryptocurrency & digital money
17:30

 —

18:00

Tax issues of cryptocurrencies & NFT

Boris Subotic
Lawyer @ Lawyer office Subotic

Unleashing the Power of Data-Driven Crypto Investing

Cryptocurrency & digital money
Cryptocurrency & digital money
18:00

 —

18:30

Unleashing the Power of Data-Driven Crypto Investing

Stevan Radonjanin
Co-founder & CEO, Veli

MR 11

Pandora

Keynote
Keynote
09:45

 —

10:30

Pandora

Konrad Tollmar
Research Director, Electronic Arts (EA)

Clustering players’ strategies for generation of non-player characters

Realistic Interaction & AI-powered NPCs
Technical talk
Beginner to Intermediate
Developing high quality non-player characters (NPCs) is essential because it can make or break a game. However it requires a lot of game design, development, and quality assurance effort. This talk will demonstrate how we applied machine learning to speed up the process, namely using clustering of players’ army formations to generate human-like NPCs in Mythic Legends – an auto-chess inspired strategy role-playing mobile game. I will explain why defining a good distance function needed for clustering was almost impossible and how we pragmatically simplified the original clustering problem into a series of clustering steps with partial distance functions and how we tamed the combinatorial explosion with greedy algorithm.
Realistic Interaction & AI-powered NPCs
10:30

 —

11:00

Clustering players’ strategies for generation of non-player characters

Rok Piltaver
Senior Data Scientist, Outfit7

Experimenting or Delivering? Stories About Industrializing In-game Machine Learning Solutions

Realistic Interaction & AI-powered NPCs
Technical talk, Research talk
Intermediate
In a triangle between Researchers, Technology Providers and Game Productions, a challenge is often encountered: How to balance a fast-paced field, like Machine Learning, with the stability required to deliver AAA games? Our strategy is modularity, which is one of the core pillars of Machine Learning Framework that developing at Ubisoft. The Framework that helps industrializing prototypes and unifies how Machine Learning should be done in our games, from auto-tests to player-facing features.
Realistic Interaction & AI-powered NPCs
11:00

 —

11:30

Experimenting or Delivering? Stories About Industrializing In-game Machine Learning Solutions

Pavle Petrovic
Technical Lead @ Ubisoft

Coffee Break

11:30

 —

11:50

Coffee Break

Pandora Official Opening

AI Intelectual Property
AI Intelectual Property
11:50

 —

12:00

Pandora Official Opening

Vladimir Maric
Director @ Intellectual Property Office of the Republic of Serbia

AI – Legal Insights

AI Intelectual Property
Educational talk
Intermediate
AI Intelectual Property
12:00

 —

12:20

AI – Legal Insights

Nikola Kliska
Head of IP @ Karanovic & Partners

AI – Legal Insights

AI Intelectual Property
Educational talk
Intermediate
AI Intelectual Property
12:20

 —

12:40

AI – Legal Insights

Andrea Radonjanin
Partner / Head of IP practice @ Moravcevic, Vojnovic & Partners

WIPO’s work on Artificial Intelligence, Video Games and Intellectual Property

AI Intelectual Property
The presentation will look into the transformative role of Artificial Intelligence (AI) in the gaming industry, its profound impact on the global IP system and WIPO’s role in navigating the legal and policy challenges, including its projects to support gaming companies and WIPO Conversation on IP and Frontier Technologies.
AI Intelectual Property
12:40

 —

13:00

WIPO’s work on Artificial Intelligence, Video Games and Intellectual Property

Kseniia Gygax
Associate Policy Officer @ WIPO

Generative AI & Intellectual Property Law

AI Intelectual Property
This presentation will focus on the Intellectual Property issues (protectability, infringement and licensing) created by the use of AI in Video Games.
AI Intelectual Property
13:00

 —

13:20

Generative AI & Intellectual Property Law

Gaetano Dimita
Senior Lecturer in International Intellectual Property Law, Centre for Commercial Law Studies, Queen Mary University of London

AI Intellectual Property

AI Intelectual Property
AI Intelectual Property
13:20

 —

14:00

AI Intellectual Property

Djordje Krivokapic & Gaetano Dimita & Andrea Radonjanin & Nikola Kliska & Kseniia Gygax
Associate Professor @ FON, Senior Lecture @ Queen Mary University of London, Partner / Head of IP practice @ Moravčević, Vojnović & Partners, Head of IP @ Karanovic&Partners, Associate Policy Officer @ WIPO

Lunch break

14:00

 —

15:00

Lunch break

How Data Science aids game development strategies

Keynote
Business talk, Educational talk
Intermediate
We are in an era where the gaming industry needs data science to make good use of the data collected from players in a holistic way. Data Science aids in the analysis of game development strategies. The mathematical model aids in determining the game’s optimal point. This talk will cover some interesting use cases of data science application in game analytics.
Keynote
15:00

 —

15:45

How Data Science aids game development strategies

Siyu Sun
Global Director Data Science and Analytics, Gameloft

Unlocking revenue: newcomer classification for boosted profits

Data analytics in Gaming
Technical talk, Business talk
Intermediate to Advanced
LTV forecasting of newcomers and churn rate in a mobile game to detect whale players and ensure retention. Developed pipelines, methods of integration into a mobile app, architecture of MTL neural network. Implementation of multi-task learning models, advantages and disadvantages. Model evaluation functions.
Data analytics in Gaming
15:45

 —

16:15

Unlocking revenue: newcomer classification for boosted profits

Dmitrii Matveev
Lead Data Scientist @ Wargaming

Leveraging Sentiment and Topic Detection Analysis for Decoding Player Feedback in the Video Games Industry

Data analytics in Gaming
Technical talk, Business talk
Intermediate to Advanced
Player feedback is essential during the production of a video game, and there comes a time when a game is presented to a wider audience – a gameplay trailer, a demo, an early access or, at last, a completed game. They all want to chime in – reviewers, other gaming professionals, and, of course, players, talking about what they like and dislike. For game development studios it is instrumental to collect that feedback and turn it into actionable insights about game design and marketing strategy, as well as to predict sales. It is the insights department’ job to ensure those insights, and here we will show you how we conduct sentiment and topic detection. You will learn about different techniques for sentiment and topic analysis – from grounded theory and qualitative coding, to keyword extraction, application of classical machine learning algorithms, and finally openAI. The goal is to show you and inspire you to build this powerful decision-making tool.
Data analytics in Gaming
16:15

 —

16:45

Leveraging Sentiment and Topic Detection Analysis for Decoding Player Feedback in the Video Games Industry

Nikola Vasiljevic
Head of Insights and Analytics @ Mad Head Games

MR 13

AI COMMERCE

Keynote
Keynote
09:45

 —

10:30

AI COMMERCE

The Power of Personalized Customer Experiences Through AI Innovations

Intelligent Product Recommendations with AI
Discover the world of personalized customer experiences with Nikola from Things Solver. In this session, we won’t just talk about it; we’ll roll up our sleeves and build a recommender engine. See how AI can supercharge personalization and drive business growth, and learn how to make it work for you.
Intelligent Product Recommendations with AI
10:30

 —

11:00

The Power of Personalized Customer Experiences Through AI Innovations

Nikola Trajkov
Things Solver

Fashion-forward: Transforming E-Commerce with AI-Based Customer Segmentation and Personalized Recommendations

Intelligent Product Recommendations with AI
Technical talk, Business talk
Beginner
In the world of fashion e-commerce, thriving means staying ahead with innovation. AI-driven customer segmentation enables a profound understanding of diverse clientele, facilitating tailored marketing and product offerings by analyzing preferences and behaviors. Personalized product recommendations, powered by AI algorithms that scrutinize past data, significantly boost conversion rates and sales. Discover how BE-terna’s AI solutions can elevate your fashion e-commerce business, increasing sales and customer loyalty. Join us to explore these transformative strategies.
Intelligent Product Recommendations with AI
11:00

 —

11:30

Fashion-forward: Transforming E-Commerce with AI-Based Customer Segmentation and Personalized Recommendations

Ratko Nikolic
Data Scientist @ BE-terna

Coffee Break

11:30

 —

12:00

Coffee Break

The specifics of the AB-test for Unit Economics with a network effect.

Intelligent Product Recommendations with AI
Technical talk, Business talk
Intermediate
“Unit Economics (UE) is one of the most important indicator for a retailer. It shows profit per order after deducting all variable costs: purchase, logistics, storage, marketing, and others. For the retailer the UE indicator is critical, especially if it is around 0.
AB-test is an important approach for improving various business indicators. However, they contain many problems, for example, network effects – when groups A and B influence each other implicitly.
In the report, I will talk about the network effects that arise during AB-tests for UE, how to work with them, and how to evaluate the results correctly.”
Intelligent Product Recommendations with AI
12:00

 —

12:30

The specifics of the AB-test for Unit Economics with a network effect.

Alexei Chernobrovov
Yandex.market

Advanced search for your e-commerce website

Personalized Customer Experience with AI
Technical Talk
“In this talk we will be speaking about AI enhancements you can add to your e-commerce website. Drawing from our wealth of experience, we’ll explore the array of enhancements we’ve implemented across diverse e-commerce platforms. Our discussion will encompass the specific challenges these enhancements address and the tangible outcomes they can deliver. We will traverse the landscape of item-based AI enhancements, including categorization, personalization, ranking, similarity search, and dynamic pricing, before shifting our focus to user-based AI enhancements, such as categorization and churn analysis. In the second part of this presentation, Nikola will cover semantic search in more details. As the number of items on the website continues to expand, the need for a more efficient and effective navigation system becomes increasingly paramount in ensuring a seamless search experience. Large language models, vector databases and ChatGPT opened up this new possibility. Nikola will delve into vector databases, specialized storage systems that manage multi-dimensional vector data with immense proficiency. The heart of our discussion will revolve around semantic search, a sophisticated technique that interprets user intent and the contextual meaning of terms to fetch more relevant search results. To achieve this, it relies heavily on vectors and their high-dimensional representations of data. We’ll also touch upon the prerequisites for setting up a vector database, emphasizing the significance of data input and the paramount importance of data quality. To cap off our presentation, we will offer a live demonstration, utilizing real-world data and an authentic vector database. This hands-on showcase will provide you with a concrete and practical illustration of the concepts we’ve discussed in action.”
Personalized Customer Experience with AI
12:30

 —

13:00

Advanced search for your e-commerce website

Nenad Bozic & Nikola Jankovic
Co-founder, CEO @ SmartCat & Software Engineer @ SmartCat

AI impact on Ecommerce: Friend or a Foe?

Panel
Technical Talk
“In this talk we will be speaking about AI enhancements you can add to your e-commerce website. Drawing from our wealth of experience, we’ll explore the array of enhancements we’ve implemented across diverse e-commerce platforms. Our discussion will encompass the specific challenges these enhancements address and the tangible outcomes they can deliver. We will traverse the landscape of item-based AI enhancements, including categorization, personalization, ranking, similarity search, and dynamic pricing, before shifting our focus to user-based AI enhancements, such as categorization and churn analysis.

In the second part of this presentation, Nikola will cover semantic search in more details. As the number of items on the website continues to expand, the need for a more efficient and effective navigation system becomes increasingly paramount in ensuring a seamless search experience. Large language models, vector databases and ChatGPT opened up this new possibility.

Nikola will delve into vector databases, specialized storage systems that manage multi-dimensional vector data with immense proficiency. The heart of our discussion will revolve around semantic search, a sophisticated technique that interprets user intent and the contextual meaning of terms to fetch more relevant search results. To achieve this, it relies heavily on vectors and their high-dimensional representations of data. We’ll also touch upon the prerequisites for setting up a vector database, emphasizing the significance of data input and the paramount importance of data quality.

To cap off our presentation, we will offer a live demonstration, utilizing real-world data and an authentic vector database. This hands-on showcase will provide you with a concrete and practical illustration of the concepts we’ve discussed in action.”
Panel
13:00

 —

13:45

AI impact on Ecommerce: Friend or a Foe?

Bela Klasnja & Milan Bukorovic
CTO @ Ananas & CTO @ Nelt Group

Lunch Break

13:45

 —

14:45

Lunch Break

Retail Transactions at scale for AI – From PoC to production

Inventory Management AI-Enabled
Technical talk
Intermediate to Advanced
Before we get to AI, the data engineering part of any data project is crucial. In this talk, I will go through my experience designing from the PoC phase to production a project for a retail giant, going from millions of unstructured data (mainly XML / ticketing) to the unlocking of reporting, forecasting and other AI use cases, enabling teams across the company unlock their AI use cases.
Inventory Management AI-Enabled
14:45

 —

15:15

Retail Transactions at scale for AI – From PoC to production

Ayoub Fakir
Lead Data Engineer @ BDataBChain

Change the world of logistics through addHelix

Inventory Management AI-Enabled
Technical talk, Business talk
Intermediate
Discover the future of logistics with addHelix. Tackling global supply chain complexities and technological disruptions, addHelix integrates advanced technologies like genetic algorithms and neural networks. Join us to explore how it transforms challenges into sustainable, efficient, and cost-effective solutions, reshaping the landscape of modern logistics.
Inventory Management AI-Enabled
15:15

 —

15:45

Change the world of logistics through addHelix

Claus Vogelmann
CDO @ Ibase part of Axians

Lean experimentation and decision science in warehouses with humans in the loop

Inventory Management AI-Enabled
Business talk
Intermediate
In Quick-Commerce, warehouses consist of pickers performing inventory management tasks and fulfilling incoming customer orders. Effective picker scheduling and shift optimization addresses the challenge of maximizing resource utilization while maintaining low delivery time. This talk focuses on the challenges in running decision science experiments with humans involved, and embracing learnings from iterations: How to best utilize limited data caused by stochastic activities? How to consider region-specific operational constraints on a global scale? How to tackle unclean data due to on-ground human-error in warehouses? Answering such questions strategically enables designing hypothesis validation setups which differs from doing it on traditional web-applications. This talk discusses how to draw insights while navigating uncertainties, and to leverage the outcome for optimizing operational decision making processes.
Inventory Management AI-Enabled
15:45

 —

16:15

Lean experimentation and decision science in warehouses with humans in the loop

Sayon Kumar Saha
Manager, Data Science @ Delivery Hero

Change the world of logistics through addHelix

Inventory Management AI-Enabled
Technical talk, Business talk
Intermediate
Discover the future of logistics with addHelix. Tackling global supply chain complexities and technological disruptions, addHelix integrates advanced technologies like genetic algorithms and neural networks. Join us to explore how it transforms challenges into sustainable, efficient, and cost-effective solutions, reshaping the landscape of modern logistics.
Inventory Management AI-Enabled
16:15

 —

16:45

Change the world of logistics through addHelix

Claus Vogelmann
CDO, Ibase part of Axians

Lean experimentation and decision science in warehouses with humans in the loop

Inventory Management AI-Enabled
Business talk
Intermediate
In Quick-Commerce, warehouses consist of pickers performing inventory management tasks and fulfilling incoming customer orders. Effective picker scheduling and shift optimization addresses the challenge of maximizing resource utilization while maintaining low delivery time. This talk focuses on the challenges in running decision science experiments with humans involved, and embracing learnings from iterations: How to best utilize limited data caused by stochastic activities? How to consider region-specific operational constraints on a global scale? How to tackle unclean data due to on-ground human-error in warehouses? Answering such questions strategically enables designing hypothesis validation setups which differs from doing it on traditional web-applications. This talk discusses how to draw insights while navigating uncertainties, and to leverage the outcome for optimizing operational decision making processes.
Inventory Management AI-Enabled
16:45

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17:15

Lean experimentation and decision science in warehouses with humans in the loop

Sayon Kumar Saha
Manager, Data Science @ Delivery Hero
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