游戏数据与人工智能终极指南

GAME DATA AND AI Introduction.......................................................................................................................................................................3The Role of Data and AI in Game Development.........................................................................................................4Key Trends Shaping the Games Industry....................................................................................................................6Why Game Teams Struggle With Data and AI............................................................................................................8The Databricks Data Intelligence Platform...............................................................................................................10Practical Applications and Use Cases........................................................................................................................11Best Practices for Implementing Data Strategies..................................................................................................18Data Access and the Major Cloud Providers.............................................................................................................21About Databricks.............................................................................................................................................................25 Contents We proudly present this year’sGuide to Game Data and AI, Databricks’ flagship eBook for the games industry.Since our first eBook on the subject, we’ve received incredible feedback on the need for games studios toadopt a more data-informed approach to game development and operations. Introduction Unsurprisingly, the video game industry has continued to evolve into one of the most dynamic sectors inglobal entertainment.According to Newzoo, the global gaming market wasprojected to reach $187.7 billionin revenue by the end of 2024, driven by a steady increase in player engagement across platforms. Thereare approximately 3.4 billion gamers worldwide, with a notable increase in PC players (representing 23% ofrevenue, +4% YoY) compared to mobile and console gamers over the past year, although mobile still comprises~49% of revenue ($92.6B, +3% YoY). Throughout it all, data and AI have played a foundational role in thedevelopment, launch and operation of video games. We’ve seen teams of all sizes leverage game data to de-risk development, build stronger game loops and drive more effective player engagement at scale. In this eBook, we’ll cover the most critical need-to-know game data and AI use cases, from building real-time360-degree views of titles, to how AI-powered BI can democratize critical and time-sensitive insights acrossyour entire team. Let’s jump in. Over the last decade, the way games have been developed and monetized has changed dramatically.The majority of top-grossing games are now built using a games-as-a-service strategy, where titles areshipped in cycles of constant iteration to increase engagement and monetization of their player base overtime. Games-as-a-service models have the ability to create sticky, high-margin games, but they also heavilydepend on cloud-based services such as real-time analytics, multiplayer servers and matchmaking, playerrelationship management, performance marketing, and more. The Role ofData andAI in GameDevelopment Increasingly, every business model in game development (premium, premium plus, free-to-play, subscription,in-app purchase, ad supported, or somewhere in between) is now dependent upon leveraging data and AIuse cases to help break through the noise of competition, more efficiently acquire and engage gamers, andultimately monetize them. Every gamer has a limited share of time and dollars to spend. As a studio, you need to be thinking abouthow you’re going to grab a disproportionate share of time — and thereby a disproportionate share oftheir game dollars — even if only through a one-time purchase. At Databricks, we work with studios of all sizes — from one- and two-person shops to teams building the biggest AAA titles onthe planet. Regardless of the company size, these teams are seeking to serve their playerbase, create engaging games and run aneffective business. To support those goals, we repeatedly see three (3) primary sources of data: 1Game telemetry from the client Sources beyond the game Inclusive of marketplace activities and operationalmetrics, often gathered from third-party datapartners and ISVs. Examples include: Such as social media and search engines.Examples include: Examples include: ■Player movement data:Tracks how playersnavigate through the game environment,including speed and direction changes.■Action taken:The details of actions takenwithin the experience, such as shooting,kills and UI engagement. This data typicallyincludes time, location and a snapshot of thecurrent state.■Resource usage:Monitors how playe