Playtika AI Mastering AI Coding Tools EvaluationBy Mykola KondratiukAs a Tech Ops & IT project manager, I have been part of the AI revolution in software development from…
Playtika AI Dynamic Pipelines for MLBy Nitai ItzhackyIntroduction The field of AI has been rapidly expanding over the past few years, with machine learning (ML) algorithms typically…
Playtika AI Challenges in Lifetime Value Predictions for Marketing CampaignsBy Shahar Bar, Mor Bebes, Yoav TulpanLifetime value (LTV) prediction is a fundamental task in marketing mix modeling (MMM). While customer LTV (CLTV) usually takes the…
Playtika AI Unveiling the Superiority of Regularised Bayesian Piecewise Survival Models for Customer Churn PredictionsBy Sofia Maria Karadimitriou, Jerome Carayol, Armand Valsesia
Playtika AI Challenges in Applying Generative AI to Mobile GamingBy Gali Hod, Eyal Regev, Michael KolomenkinIn this blog post, we delve into the integration of Generative AI into the production of mobile games. The potential…
Playtika AI OPTIMIZING YOUR MARKETING PORTFOLIO’S PERFORMANCE WITH THE BUDGET ALLOCATION RECOMMENDATION TOOLBy Ofer Shapira and Dan HalbersbergDigital advertising plays a significant role in generating income for many online companies. According to Statista, global digital advertising spending…
Playtika AI Multi-Dimensional Classification and the Importance of CorrelationsBy Yotam RotholzMulti-Dimensional Classification (MDC) algorithms can lead to significantly improved results in classification problems with correlated labels, as we have discovered…
Playtika AI THE GRAPH REVENUE OPTIMIZED WATERFALL STRATEGY (GROWS)By Dan HalbersbergIn this blog post, we will expand upon the information provided in our previous post, “Automatic Waterfall Auction Optimization”. Therefore,…
Playtika AI Overcoming personalization challenges with AI – Meetup summaryBy Michael KolomenkinWe are happy to share with you the videos of lectures from the DS meetup we organized on June 22nd….
Playtika AI Analyzing Uplift ModelsBy Dvir Ben Or and Michael KolomenkinWhen it comes to real-world applications, a key concern lies in our ability to foresee the effects of different actions,…
Playtika AI Automatic Waterfall Auction OptimizationBy Dan HalbersbergIn this blog, we will share how publishers can optimize their revenues from online advertisement sales, as part of a…
Playtika AI Multi-horizon Forecasting using Temporal Fusion Transformers – A Comprehensive Overview – Part 1By 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…
Playtika AI Multi-horizon Forecasting using Temporal Fusion Transformers – A Comprehensive Overview – Part 2By 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…
Playtika AI How Playtika Achieved AI Automation Customer Service with Apache NiFi – Part 1By Roberto Marturano & Florian SimondThe Business Logic Automating efficient Customer Service (CS) is an endeavor fraught with risks where finding the right balance between…
Playtika AI How Playtika Achieved AI Automation Customer Service with Apache NiFi – Part 2By By Roberto Marturano & Florian SimondBy Roberto Marturano & Florian Simond Part 1 of this article addresses the business logic and results of the…
Playtika AI A/Bove All Else, Testing is EssentialBy Dario d’Andrea, Jérôme Carayol & Armand ValsesiaA/B testing is a controlled experiment that compares two (or more) variants and determines which one performs better according to…
