Laura Blažková
Technical Account Manager
Resistant AI
Resistant AI
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This session will provide a comprehensive overview of Truecaller’s AI initiatives and their measurable impact. The presentation will address key statistics that demonstrate the effectiveness of AI technologies within the organization. Attendees will gain insights into AI project ideation and the creative brainstorming process, as well as the critical role of KPIs and cost tracking in guiding development. The session will also explore Agile AI methodologies, emphasizing the importance of experimentation and iterative development backed by Google Cloud's infrastructure.
Key Takeaways:
Location:
Allegro Office in Warsaw
(Norblin Factory - Plater 3 entrance, from Żelazna Street)
Żelazna Street 51/53, 00-841 Warsaw
Discover how we transformed its feature engineering landscape over five years, moving from a monolithic architecture to an innovative aggregate mesh approach. This session will highlight the importance of a long-term strategy in data engineering, key challenges faced, and the collaborative efforts between data science and engineering teams. Learn how systematic change management, a structured big data approach, and scalable architecture have driven efficiency and innovation in feature engineering.
Strategic Vision in Feature Engineering – Understand the impact of long-term planning and systematic transformation in data engineering.
Overcoming Challenges in Feature Engineering – Insights into tackling scalability, governance, and data inconsistency.
Collaboration Between Data Science & Engineering – Explore how aligning teams and processes leads to better outcomes.
The Aggregate Mesh Concept – Learn about a novel approach that redefines feature engineering in large-scale data environments.
Discover how XTB and Resistant AI collaborated to develop a cutting-edge pipeline for onboarding clients faster while ensuring security and compliance. This session will explore the integration of advanced fraud detection, document layout recognition, entity recognition, and risk assessment—leveraging a combination of Generative AI and classical machine learning techniques. Learn how this functional implementation brings real business value by automating complex processes while maintaining human oversight in critical decision-making.
Advanced Fraud Detection – Learn how Resistant AI technology can be used to detect fraudulent documents, including serial frauds. Understand how you can effectively integrate with RAI
Document Recognition Augmented with GenAI – Learn how we integrated classical data processing techniques with GenAI to detect key data in various documents with a lot of edge cases and out-of-distribution data.
Process Automation with Human In The Loop - Learn how we selectively automate onboarding by keeping humans in the loop during key decision making procedures. Understand how we make the decision process as simple as possible by presenting key data along with detection uncertainty. We also automatically solve cases through detection of repeating decision patterns.
Catella, a European Investment Management Company with €13 Billion in Assets Under Management (AUM), faced significant challenges in scaling its operations and leveraging its collective knowledge pool. Operating across 12 countries and 25 cities with partner-led offices, the organization had historically relied on non-technical solutions, including the Microsoft Office suite, to run a profitable business.
However, the siloed structure of the organization led to inefficiencies, governance issues, and missed opportunities for collaboration. To address these challenges, Catella embarked on a transformative journey to centralize its IT platform, digitize processes, and adopt a data-driven approach to decision-making.
This webinar will explore:
Key Takeaways:
Transitioning to the cloud and becoming data-driven is a significant challenge in highly regulated industries like aviation. Faced with a highly siloed and complex data environment riddled with bottlenecks and technical debt, we embarked on a cloud migration journey with Azure Databricks, laying a foundation for data governance with Unity Catalog.
In this session, we’ll share how implementing a modern data platform has accelerated data democratization and reduced time-to-value for various product teams. Learn how we transformed from a siloed, on-premises data architecture to a scalable cloud intelligence platform at Europe’s leading value airline, while addressing the stringent requirements of the aviation industry.
Key Takeaways:
Discover how GE Healthcare is leveraging data and AI to drive its transformation as a standalone company, with a specific focus on Supply Chain innovation. This session will explore how advanced analytics, data mesh, and data products are enabling better decision-making and business efficiency. From AI-driven forecasting models to the consolidation of BI tools and mapping reports to business processes, learn how insights-driven solutions are shaping the future of GE Healthcare’s operations.
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