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Lessons Learned From Multi-Armed Bandits In Real-Time Production

By Raphael Steinmann, Alessandro D'Armiento, Adam Kozak, Juan Perez-Sorrosal, Stefano Piazza, Roberto Marturano, Pavel Nesterenko

Abstract Multi-Armed Bandits for personalization of gaming experience. We share lessons learned on deploying and running multi-armed bandits in real-time…

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The Journey of Building Playtika’s ML Platform — Part 3

By Oded Nadel

Chapter 5: Playtika’s ML Platform Offering It’s finally time to delve into what our platform offers. We’ll revisit the ML…

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Anomaly Detection in Gaming

By Ron Shiff

In this blog post, we will provide an introduction to anomaly detection within the context of online gaming. We will…

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The Journey of Building Playtika’s ML Platform — Part 2

By Oded Nadel

Chapter 4: Market Research and Technologies Let’s start by echoing the different ML Platform components we discussed, but this time,…

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The Journey of Building Playtika’s ML Platform — Part 1

By Oded Nadel

Introducing MLody, Playtika’s in-house ML platform, built entirely towards making our sophisticated models available at your fingertips. To begin our…

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Mastering AI Coding Tools Evaluation

By Mykola Kondratiuk

As a Tech Ops & IT project manager, I have been part of the AI revolution in software development from…

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Dynamic Pipelines for ML

By Nitai Itzhacky

Introduction The field of AI has been rapidly expanding over the past few years, with machine learning (ML) algorithms typically…

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Challenges in Lifetime Value Predictions for Marketing Campaigns

By Shahar Bar, Mor Bebes, Yoav Tulpan

Lifetime value (LTV) prediction is a fundamental task in marketing mix modeling (MMM). While customer LTV (CLTV) usually takes the…

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Unveiling the Superiority of Regularised Bayesian Piecewise Survival Models for Customer Churn Predictions

By Sofia Maria Karadimitriou, Jerome Carayol, Armand Valsesia

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Challenges in Applying Generative AI to Mobile Gaming

By Gali Hod, Eyal Regev, Michael Kolomenkin

In this blog post, we delve into the integration of Generative AI into the production of mobile games. The potential…

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OPTIMIZING YOUR MARKETING PORTFOLIO’S PERFORMANCE WITH THE BUDGET ALLOCATION RECOMMENDATION TOOL

By Ofer Shapira and Dan Halbersberg

Digital advertising plays a significant role in generating income for many online companies. According to Statista, global digital advertising spending…

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Multi-Dimensional Classification and the Importance of Correlations

By Yotam Rotholz

Multi-Dimensional Classification (MDC) algorithms can lead to significantly improved results in classification problems with correlated labels, as we have discovered…

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THE GRAPH REVENUE OPTIMIZED WATERFALL STRATEGY (GROWS)

By Dan Halbersberg

In this blog post, we will expand upon the information provided in our previous post, “Automatic Waterfall Auction Optimization”. Therefore,…

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Overcoming personalization challenges with AI – Meetup summary

By Michael Kolomenkin

We are happy to share with you the videos of lectures from the DS meetup we organized on June 22nd….

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Analyzing Uplift Models

By Dvir Ben Or and Michael Kolomenkin

When it comes to real-world applications, a key concern lies in our ability to foresee the effects of different actions,…

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Automatic Waterfall Auction Optimization

By Dan Halbersberg

In this blog, we will share how publishers can optimize their revenues from online advertisement sales, as part of a…

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Multi-horizon Forecasting using Temporal Fusion Transformers – A Comprehensive Overview – Part 1

By Dvir Ben Or and Michael Kolomenkin

Time-series forecasting is a problem of major interest in many business domains, such as finance, weather, and others. This problem…

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Multi-horizon Forecasting using Temporal Fusion Transformers – A Comprehensive Overview – Part 2

By Dvir Ben Or and Michael Kolomenkin

This post is a continuation of the first post on Multi-horizon Forecasting (MHF). The first post described challenges associated with…

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How Playtika Achieved AI Automation Customer Service with Apache NiFi – Part 1

By Roberto Marturano & Florian Simond

The Business Logic Automating efficient Customer Service (CS) is an endeavor fraught with risks where finding the right balance between…

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How Playtika Achieved AI Automation Customer Service with Apache NiFi – Part 2

By By Roberto Marturano & Florian Simond

By Roberto Marturano & Florian Simond Part 1 of this article addresses the business logic and results of the…

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A/Bove All Else, Testing is Essential

By Dario d’Andrea, Jérôme Carayol & Armand Valsesia

A/B testing is a controlled experiment that compares two (or more) variants and determines which one performs better according to…