Bugra Ozer

Data Science and AI Governance Lead Dentons

Dr. Bugra Ozer is a highly experienced data scientist with over 14 years of expertise spanning industry, government, and research organizations. He has successfully led more than 40 data science and AI projects, authored 22 scientific papers, and developed deep specialization in AI/ML, Generative AI, data integration, and data privacy. Among his notable achievements, Bugra led the team to deliver an AI-powered forecasting solution that generated an £80 million uplift in client revenues by combining precise predictions with improved ways of working. He also developed and deployed an AI Ethics Tool which emphasises responsible AI and the safe use of AI. Currently, Bugra oversees the development of AI technologies and their integration into legal processes while ensuring compliance with ethical standards and governance frameworks to enhance decision-making and operational efficiency. With a solid track record of delivering complex data solutions projects, Bugra focuses on practical and sustainable AI solutions. He has experience guiding AI initiatives from proof of concept to scalable, production-ready solutions, aligning them with organizational goals and governance frameworks. His work highlights the potential of AI when designed with scalability, sustainability, and real-world application in mind.

Main Day 1 - Tuesday 14th January 2025

4:35 PM PANEL: Building and Deploying a Production-Ready AI Product

  • Critical Components for Success: Process, People, and Technology: A deep dive into the three essential pillars of AI product development: optimizing processes, aligning skilled teams, and leveraging the right technologies for successful deployment.
  • Enabling Scalable Enterprise AI Deployment: Strategies to implement AI solutions at scale, focusing on performance, reliability, and efficiency for large-scale enterprise environments.
  • Enterprise-wide AI Integration Best Practices: Insights on integrating custom AI models across diverse platforms, focusing on scalability, consistent performance, and streamlined workflows. These practices help accelerate AI-driven innovation throughout the organization.
  • Optimizing Scalable AI Infrastructure: Explore how to design infrastructure that supports seamless deployment of AI models by leveraging cloud-based platforms, distributed computing, and hybrid solutions. Learn to balance cost, performance, and operational efficiency, with a brief focus on how MLOps can play a role in ensuring scalability across the enterprise.

Check out the incredible speaker line-up to see who will be joining Bugra.

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