Magdalena Kopijka
Sr Manager Data & Analytics
GE Healthcare
GE Healthcare
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This webinar explores the intricate landscape of developing and deploying Machine Learning (ML) models at scale within the high-stakes, fast-paced ridesharing industry. Gain a behind-the-scenes perspective on overcoming challenges such as managing vast amounts of real-time data, training robust models, and ensuring seamless deployment and monitoring in dynamic production environments.
Using real-world case studies, this session will highlight the critical role of ML in optimizing ride reliability and customer satisfaction.
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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.
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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.
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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.
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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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