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NEURO AI
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DATA & AI TALKS

Dragan Tomic

  • VP of Engineering and Site Lead, Belgrade
Databricks

Dragan Tomic

  • VP of Engineering and Site Lead, Belgrade

Amie Bright

  • VP Enterprise Data & Insights
Amie is an accomplished leader in data and analytics with more than 20 years of experience. She excels in aligning data strategies with organizational visions and harnessing state-of-the-art cloud technologies throughout the data lifecycle—from ingestion to advanced analytics and BI. Currently, she is Vice President of Enterprise Data & Insights at GitLab, where her team is dedicated to converting data into tangible value for the organization. Under Amie’s guidance, her team specializes in data engineering, analytics engineering, data science, advanced analytics, data governance, and data quality.
GitLab
Data-Driven Success: Securing Executive Buy-In for a Game-Changing Data Strategy

Amie Bright

  • VP Enterprise Data & Insights

Jose Portilla

  • Instructor
Udemy

Jose Portilla

  • Instructor

Andreas Nauerz

  • Member of the Board at Bosch Digital | CTO & Executive Vice President
Bosch

Andreas Nauerz

  • Member of the Board at Bosch Digital | CTO & Executive Vice President

Tobias Zwingmann

  • Author & Managing Partner
RAPYD.AI

Tobias Zwingmann

  • Author & Managing Partner

Rana Gujral

  • CEO
Rana Gujral is an entrepreneur and CEO at Behavioral Signals, a Cognitive AI company building essential building blocks of AGI with its acoustics-based deep learning technology. As a thought leader in AI, Rana often leads keynote sessions at industry events such as the Leap, DeepFest, World Government Summit, VOICE Summit, TNW, Collision, and The Web Summit. His bylines are featured in publications such as FastCompany, Inc., and Entrepreneur, and he is a contributing columnist at TechCrunch and Forbes. Rana has been recognized as among ‘Top 40 Voice AI Influencers to Follow’ by SoundHound, ‘Entrepreneur of the Month’ by CIO Magazine, ‘Top 10 Entrepreneurs to Follow’ by Huffington Post, and an ‘AI Entrepreneur to Watch’ by Inc Magazine. In 2022, the CEO Monthly listed him among the “Most Influential CEOs”.
Rana holds management, finance, and engineering degrees from the Massachusetts Institute of Technology, Sloan, the University of Massachusetts, and MJP Rohilkhand University. Rana founded TiZE, a vertical cloud software that used ML models to predict commodity prices, and held the CEO role until its acquisition in 2016. Before TiZE, Rana led the turnaround of Cricut Inc. from bankruptcy to profitability and its eventual IPO. Previously, Rana held leadership positions at Logitech and Kronos Inc., where he was responsible for developing best-in-class products.
Behavioral Signals
Fighting AI with AI

Rana Gujral

  • CEO

Maciej Dziezyc

  • Senior Data Scientist
Maciej Dziezyc is a Senior Data Scientist specializing in the delivery of AI solutions in the AWS cloud. He has both academic and commercial experience in developing machine learning models for various use cases, such as emotion recognition, image generation, and chatbots. In his work, Maciej focuses on delivering tangible outcomes for stakeholders iteratively. Not only has he delivered AI solutions for non-profit organizations, but he has also volunteered for many years in such organizations, primarily concentrating on animal welfare.
SoftwareOne
How to Encourage Children to Read Books? LLMs for Education and Fun!

Maciej Dziezyc

  • Senior Data Scientist

Ewelina Kucal

  • Data Scientist
Ewelina Karlowicz is an AI and ML consultant at SoftwareOne. She has extensive experience in implementing machine learning and artificial intelligence solutions in the cloud and providing AI training across a wide range of industries, including telecommunications, e-commerce, law, the public sector, and NGOs. Currently, her main focus is on implementing optimal AI solutions for companies, such as AI-based automation and Retrieval-Augmented Generation (RAG) applications.
SoftwareOne
How to Encourage Children to Read Books? LLMs for Education and Fun!

Ewelina Kucal

  • Data Scientist

Arsenii Shkunkov

  • Machine Learning Engineer
Arsenii is a Machine Learning Engineer at ABBYY, with a focus on Natural Language Processing and leveraging LLMs for Document Processing and Data Intelligence. He holds a Master of Science in Computer Science, specializing in Computational Linguistics and Machine Learning. His expertise spans deep learning model optimization, generative AI, and autonomous agents. Beyond his technical work, he is actively involved in educational initiatives, contributing to both professional communities and academia.
ABBYY
Exploring the Mechanisms of LLM Reasoning Capabilities

Arsenii Shkunkov

  • Machine Learning Engineer

Ved Prakash

  • Staff Data Engineer
Experienced and dedicated Staff Data Engineer with a passion for leveraging data to drive business insights. Possesses a deep understanding of designing, implementing, and managing complex data pipelines, as well as optimizing and scaling data infrastructure to meet evolving business needs. Proficient in a range of technologies, including GCP, AWS, Snowflake, Python, PySpark, Terraform, DBT, and Monte Carlo. Proven leader with a strong track record of delivering high-quality data solutions that empower organizations to make informed decisions and achieve their strategic goals. Committed to staying ahead of industry trends and best practices to ensure the delivery of cutting-edge solutions.
Gitlab
Supercharging Your Data Strategy: Building a Scalable Pipeline for AI & Web Insights with GitLab, Snowplow and Snowpipe

Ved Prakash

  • Staff Data Engineer

Mikhail Rozhkov

  • Solutions ML Engineer
Dr. Mikhail Rozhkov is a seasoned Solutions ML Engineer at dvc.ai, known for its open-source tools for AI/ML development and MLOps. With over 8 years of experience in Data Science, Machine Learning, and MLOps, Mikhail has extensive hands-on knowledge in the field. Mikhail obtained his degree in Marketing and started learning Data Analysis and Python programming during his PhD research at The Hong Kong Polytechnic University. Over the years, he has participated in and managed several ML projects as a Project Manager, Senior Data Scientist, and Head of Data Science. He has also authored online courses and workshops on Reproducible ML Experiments, Pipeline Automation, and MLOps, completed by over 4,000 professionals since 2020.
DVC.ai
Structuring Unstructured Data to Boost Computer Vision and Generative AI Applications at Scale

Mikhail Rozhkov

  • Solutions ML Engineer

Andjela Culibrk

  • Head of Product
Andjela Culibrk is a Product Manager at Things Solver, specializing in developing tools that help e-commerce businesses personalize customer offerings. With extensive experience in financial analysis and data science, she is focused on the most critical aspect of any machine learning model: creating value measurable by conversion rates.
Things Solver

Andjela Culibrk

  • Head of Product

Slobodan Perovic

  • Full Professor

Matevz Cerne

  • Head of fraud prevention and predictive analytics
He began his career in computer science, but during his studies, he was fascinated by the potential of machine learning and artificial intelligence. Since 2016, he has been channeling this passion into implementing AI projects, eager to bring these advancements to real-world applications.
Sapphir d.o.o.
How to fail AI implementations

Matevz Cerne

  • Head of fraud prevention and predictive analytics

Ratko Nikolic

  • Senior Data Scientist
Ratko Nikolic is a senior data scientist at InterVenture, specializing in LLM and generative AI-powered products and services for Boxalino / Winning Interactions, a Swiss e-commerce AI optimization company. He holds a BA in Sociology of Culture and Politics and an MSc in Machine Learning and Social Network Analysis. Ratko’s journey into data science began with marketing mix modeling and media spend optimization. Since then, he has worked on projects involving machine learning algorithms and AI for automating business intelligence reporting, supply chain management, as well as media monitoring and sentiment analysis. Currently, his focus is on leveraging LLM-powered agents to enhance and automate business decision-making processes.
InterVenture
Boxalino
Automation of Marketing Content Generation with LLMs

Ratko Nikolic

  • Senior Data Scientist

Nikola Trajkov

  • ML Engineering Team Lead
Things Solver

Nikola Trajkov

  • ML Engineering Team Lead

Srdjan Santic

  • Data Engineer
Srdjan is an experienced data & AI professional, having worked for 17 years in the data space. In his international career, he has worked in data analytics, data science, and now data engineering. He also has broad experience teaching AI both in academia, as well as in the bootcamp and corporate training industries.
Nortal
AI Education for Non-Tech Professions

Srdjan Santic

  • Data Engineer

Luka Trikic

  • Co-Founder, Advisor
Connect The Dots

Luka Trikic

  • Co-Founder, Advisor

Ivan Lukovic

  • Full Professor

Vanja Ljevar

  • Co-Founder and Chief Data Scientist
KUBIK Intelligence

Vanja Ljevar

  • Co-Founder and Chief Data Scientist
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DSC:X is dedicated to the decision makers. Talks and panels will be centered on how to build Data & AI teams, Data-Driven culture in organizations, how to develop Data & AI products, Data in Cloud.

Benjamin Dzubur

  • AI Team Lead
Zebra BI
Business Decision-Making in the Era of AI

Benjamin Dzubur

  • AI Team Lead

Luka Anicin

  • CEO & Artificial Intelligence Consultant
Datablooz

Luka Anicin

  • CEO & Artificial Intelligence Consultant