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
09:45
—
10:15
Improving YouTube Recommender systems for big screen users
Zrinka Puljiz & Rein Zhang
Engineering Manager @ Youtube & 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
10:15
—
10:45
Design and Evaluation of Large Language Models
Dmitry Ustalov
Senior Machine Learning Engineer @ JetBrains
Coffee Break
10:45
—
11:15
Coffee Break
Transform your data into GenAI enterprise solution
Generative AI
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
11:15
—
11:45
Transform your data into GenAI enterprise solution
Tomasz Czarnecki & Vanja Malnik
Data, Analytics & AI Product Specialist CEE @tGoogle 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
11:45
—
12:15
Retrieval Augmented Generation
Spela Poklukar & Tea Brasanac
Data Discipline Lead and ML Consultant & Data Scientist @ Endava
TBA
Keynote
Keynote
12:15
—
13:00
TBA
Jepson Taylor
Chief AI Strategist @ Dataiku
Lunch Break
13:00
—
14:15
Lunch Break
TBA
Fireside Chat
Fireside Chat
14:15
—
15:00
TBA
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
15:00
—
15:30
Augmented Retrieval Products with GAI models
Marcel Tkacik
Data Science Manager, Generative AI Lead @ PwC Austria
TBA
Generative AI
Generative AI
15:30
—
16:00
TBA
Coffee break
16:00
—
16:30
Coffee break
TBA
Generative AI
Generative AI
16:30
—
17:00
TBA
TBA
Generative AI
Generative AI
17:00
—
17:30
TBA
Deciphering the AI Landscape: Business, Market Trends, and Emerging Risks
Closing Keynote
I will unveil the findings of an exhaustive study on the current landscape of AI in business, its market dynamics, and the associated risks. This research, rooted in the Natural Language Processing (NLP) analysis of media discourse, utilised leading language models (LLMs) and drew from a variety of data sources. Beyond the empirical picture, I will dive into an analysis of the various risk levels inherent to the AI business. Additionally, I will provide insights into the potential direction of the AI market in the near to medium-term future. The primary objective is to clarify our present understanding and control of the AI business, while also highlighting the uncharted areas we might encounter in the future.
Closing Keynote
17:30
—
18:15
Deciphering the AI Landscape: Business, Market Trends, and Emerging Risks
Goran S. Milovanovic
Lead Data Scientist @Smartocto, Owner @Data Kolektiv
Day recap
18:15
—
18:30
Day recap
ANNEX 1
Break
08:59
—
09:44
Break
Make data central feature
Data Engineering
Technical talk, Educational talk
Beginner to Intermediate
In traditional data workflows, we often encounter what are known as “task-oriented” interfaces and tools. These interfaces focus primarily on orchestrating and managing data tasks or jobs. Engineers use task-oriented tools like Airflow, Luigi, and Prefect to model dependencies between jobs or tasks. This approach has been more about managing, monitoring, and operating jobs than creating and managing data sets. However, a recent trend in the industry is shifting towards a more data-oriented approach. This means that instead of concentrating on the jobs and tasks (processes), organizations are now emphasizing the data sets (end products) themselves. With this data-oriented approach, jobs and tasks are still essential, but they are considered implementation details. This means that while they remain crucial in creating the data sets, they are no longer the main focus. The primary focus is now on enabling data engineers to develop data sets (data models or assets) instead of jobs. And ensuring that the data sets being generated are of high quality, easily accessible, and well-documented. The quick rise of tools like Mage.ai, Airbyte, and Dagster highlights this trend. The presentation will include a demonstration of various data-oriented tools, re-emphasizing the value of focusing on data rather than the tasks that manipulate it.
Data Engineering
09:45
—
10:15
Make data central feature
Antoni Ivanov
Staff Engineer @ VMware / Versatile Data Kit
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
10:15
—
10:45
Using Semarchy to Master Data Management
Cvetanka Eftimoska
Senior Technical Consultant @ IWConnect
Coffee Break
10:45
—
11:15
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
11:15
—
11:45
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
11:45
—
12:15
A Journey of Auditlogs from Kafka to Elastic Search
Muhammad Arslan
Big Data/AI Architect @ INVIDI Technologies AB
Break Annex 1
12:15
—
13:00
Break Annex 1
Lunch Break
13:00
—
14:15
Lunch Break
AI Regulation
Panel Discussion
TBC
Panel Discussion
14:15
—
15:00
AI Regulation
Marija Vlajkovic
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!
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
Full professor @ Nikola Tesla University
ANNEX 2
Break
09:00
—
09:45
Break
TBA
Deep Learning
Technical talk, Research talk
Intermediate
Deep Learning
09:45
—
10:15
TBA
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
10:15
—
10:45
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
10:45
—
11:15
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
11:15
—
11:45
Adversarial Attacks
Aleksandar Tomcic
Teaching Assistant @ Faculty of Science, University of Novi Sad
TBA
Deep Learning
Deep Learning
11:45
—
12:15
TBA
Break Annex 2
12:15
—
13:00
Break Annex 2
Lunch break
13:00
—
14:15
Lunch break
Panel
Panel Discussion
Panel Discussion
14:15
—
15:00
Panel
TBA
AI Safety
AI Safety
15:00
—
15:30
TBA
Rania Wazir
Co-founder & CTO
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 Finlan & Cofounder @ iVCV
Coffee break
16:00
—
16:30
Coffee break
TBA
AI Safety
AI Safety
16:30
—
17:00
TBA
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
MR9
Break
08:59
—
09:44
Break
DSC:X
Data-Driven Culture in Organisations
Data-Driven Culture in Organisations
09:45
—
10:15
DSC:X
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
10:15
—
10:45
How is it to lead an all-remote, globally distributed team?
Dennis van Rooijen
Director Data Platform, GitLab
Coffee break
10:45
—
11:15
Coffee break
People matter: How to leverage Corporate Data Academies to truly harness the power of Data Science.
Data-Driven Culture in Organisations
Technical talk, Business talk, Educational talk
Beginner to Intermediate
AI won’t replace people, someone using AI will. Hard to argue with this somewhat provocative statement. Yet in an era where Data Science (and AI) is on everyone’s mouth, we seem to forget that after all, this revolution will not and cannot happen without strong, capable and committed data literates and experts. Training and education, while not as sexy as some concepts, must be at the forefront of any data strategy for any long-term plan to succeed; and smart companies have found a powerful asset: Data Academies.
Data-Driven Culture in Organisations
11:15
—
11:45
People matter: How to leverage Corporate Data Academies to truly harness the power of Data Science.
Théophile Roques
VP – DACH Country Manager , DataScientist.com
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
11:45
—
12:15
How to screw Agile and digital transformation
Davor Gasparac
Senior Program Manager, BA Chapter Lead & Agile Coach, Erste Digital GmbH
How to deal with ethics applied to AI: A tool to operationalize ethics in organizations
Keynote
Transformational talk
Beginner to Intermediate
Most organizations are surrounded by an ethical noise prompting them to endorse ethical principles and practices. Yet, most of them are unable to operationalize ethics in their activities. Far from being that difficult, tolls exist to make sure organizations are aligning what they are saying with what they are doing in the field of ethics applied to AI (EA2AI). This talk aims at providing tips for organizations to know how to implement EA2AI and benefit from it.
Keynote
12:15
—
13:00
How to deal with ethics applied to AI: A tool to operationalize ethics in organizations
Emmanuel R. Goffi
Head of Research, Human Technology Foundation
Lunch break
13:00
—
14:15
Lunch break
Ethics by Design: The Role and Responsibility of AI Engineers in Shaping Responsible Generative AI
Keynote
Transformational talk
Intermediate
As generative AI grows more advanced and pervasive, AI engineers find themselves in positions of unseen power and influence. With this power comes great responsibility: a duty to consider the ethical implications of their work at every stage of the development process. In this talk, I provide practical examples of how engineers can embed ethical considerations into their workflows and collaborate with ethics experts. My aim is to provide a glimpse into AI development and provide actionable ways engineers can develop generative AI applications responsibly.
Keynote
14:15
—
15:00
Ethics by Design: The Role and Responsibility of AI Engineers in Shaping Responsible Generative AI
Heiko Hotz
Founder, NLP London
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
15:00
—
15:30
Revolutionizing AI Adoption: Harnessing No-Code Solutions for Efficient AI & ML Development
Mikhail Rozhkov
Founder, Machine Learning REPA
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
15:30
—
16:00
Growth Hacking – the next best thing to transform digitally?
Nikolay Nikolov
Founder, Data Science Partner, Centrycs Ltd
Coffee break
16:00
—
16:30
Coffee break
Corporate Foresight: Simulating Future Scenarios for Informed Business Decisions
AI & Data Strategy
Technical talk
Intermediate
Identifying potential risks and opportunities, adapting to changing market conditions, and making strategic decisions based on reliable data under uncertainty is crucial for businesses. During the presentation, you will have the opportunity to gain insight into the PwC’s journey, as they progressed from understanding business requirements to applying economic research and developing a full-stack application for Corporate Foresight. This tool transforms the way businesses make informed decisions by allowing them to simulate future scenarios based on an academically validated agent-based model and machine learning algorithms, on both micro and macroeconomic levels.
AI & Data Strategy
16:30
—
17:00
Corporate Foresight: Simulating Future Scenarios for Informed Business Decisions
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
