Data & AI Spotlight: AI at Scale – free online webinar

15.00 – 15.05 – Introduction and presentation of experts

Adam Kawa CEO and Co-founder GetInData | Part of Xebia

15.05 – 15.35 – Deploying Large Scale Machine Learning models in Rideshare

Rachita Naik Machine Learning Engineer Lyft

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.

Key topics include:

• Advanced data management strategies for handling high-velocity, high-volume streaming data.
• Techniques to maintain model performance in constantly evolving conditions.
• Practical applications of cutting-edge tools and frameworks to enhance efficiency and scalability.

Key Takeaways:

• Understand the challenges of managing real-time, high-volume data in ridesharing applications.
• Learn strategies for training, deploying, and monitoring ML models at scale.
• Discover tools and practices to streamline ML workflows and ensure efficiency.
• Gain insights from real-world use cases for impactful enterprise applications.

15.35 – 15.40 – Q&A Session

15.40 – 16.15 – Topic will be published soon

16.15 – 16.20 – Q&A Session

16.20 – 16.50 – AI Excellence: A Structured Approach to Model Development – a Truecaller case

Liniker Seixas Staff Data Scientist & Team Lead Truecaller

Kornel Skałkowski Staff Data Scientist GetInData

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:

• How to notch AI to get most of of it for your company?
• Proper structuring of AI projects
• Agile AI development

16.50 – 17.00 – Summary & closing