How Playtika delivers large-scale predictions
in real-time with streaming endpoints
Download the Presentation On-demand
Learn how Playtika – a leader in the gaming-entertainment industry – deployed large-scale and real-time predictions while increasing successful model throughput by up to 50% and reduced latency and errors to 0 with streaming endpoints on Intel® Tiber™ AI Studio. In this webinar we will learn how Intel® Tiber™ AI Studio customer, Playtika, delivers an exceptional, personalized gameplay experience to over 10 million daily active users with real-time machine learning applications.
In this webinar we’ll be joined by special guest, Avi Gabay, Director of Architecture at Playtika, where he will discuss how he worked with Intel® Tiber™ AI Studio to optimize their high volume ML deployments using Apache Kafka and created adaptive game environments for millions of players. See how Intel® Tiber™ AI Studio helps to solve key MLOps problems and ML production scalability for Playtika with one click streaming endpoints.
What you’ll learn:
How to decide between Web Services vs. Kafka Streams for your ML models
The best way to manage high-volume data and real-time deployments
How to set up the ideal architecture for Producer/Consumer interface endpoint
How to leverage Apache Kafka and AWS Kinesis for producer/consumer interface
How to quickly update models in production with 0 downtime using Kubernetes and Apache Kafka automation
Learn how Playtika – a leader in the gaming-entertainment industry – deployed large-scale and real-time predictions while increasing successful model throughput by up to 50% and reduced latency and errors to 0 with streaming endpoints on Intel® Tiber™ AI Studio. In this webinar we will learn how Intel® Tiber™ AI Studio customer, Playtika, delivers an exceptional, personalized gameplay experience to over 10 million daily active users with real-time machine learning applications.
In this webinar we’ll be joined by special guest, Avi Gabay, Director of Architecture at Playtika, where he will discuss how he worked with Intel® Tiber™ AI Studio to optimize their high volume ML deployments using Apache Kafka and created adaptive game environments for millions of players. See how Intel® Tiber™ AI Studio helps to solve key MLOps problems and ML production scalability for Playtika with one click streaming endpoints.
What you’ll learn:
How to decide between Web Services vs. Kafka Streams for your ML models
The best way to manage high-volume data and real-time deployments
How to set up the ideal architecture for Producer/Consumer interface endpoint
How to leverage Apache Kafka and AWS Kinesis for producer/consumer interface
How to quickly update models in production with 0 downtime using Kubernetes and Apache Kafka automation