AI in Games: 5 Ways Developers Can Benefit

Original article can be found here (source): Artificial Intelligence on Medium

AI in Games: 5 Ways Developers Can Benefit

Part 1 of a series on using AI to make better mobile games

Imagine a digital world, tailor-made for every gamer, optimized to excite and entice with uniquely generated NPC interactions and fully customized gameplay; where video games are more than entertainment and can help users build valuable real-world skills.

While the AI-powered video games of our dreams haven’t quite arrived yet, we are seeing real benefits of AI in the gaming industry take shape. The next 10 years will see some of the most dramatic industry changes yet, as developers the world over start using AI in their games.

For the past half-year, I’ve been working at the intersection of AI and mobile games. Our AI team at Yodo1 is solving our existing issues, dreaming up new use cases, and helping optimize the games on our platforms. In essence, we help developers make more money more easily, so they can focus their talent on making great games.

In this series of articles, I will break apart your assumptions and share with you how artificial intelligence and machine learning is going to change the way mobile video games work over the next 10 years.

1. Endlessly Entertaining Games (Link Coming)

The longer your game stays on the market, the more money you can make. But keeping a game on the market means constantly adding more content for users to unlock and explore.

In this upcoming section, we will look at how the mobile gaming industry is leveraging AI to generate hours of new content for users to play through — with little to no developer input.

2. Thriving Community Development (Link Coming)

Managing a game community can have an amazing multiplier effect on user retention, user-generated content, and viral user acquisition. Doing it well, however, can be very difficult.

Techniques range from user-generated content management (think smart filters) to auto user engagement for boosting retention. In this series, we’ll be talking with experts in the field to figure out what game developers are using to improve their in-game communities with AI.

3. Self-Driving Monetization (Link Coming)

In-app purchases (IAP), advertising, and direct sales all help video game publishers and developers make money — money that allows them to make better games.

At Yodo1, machine learning is being used to optimize in-game advertising, as well as what items players see available for purchase while they are playing. We’ll talk with some of our in-house AI engineers to learn more about this topic.

4. Easy User Acquisition (Link Coming)

Once your games are designed to make the most they can, your next step is to increase the total number of players.

While User Acquisition can seem a bit like black magic, AI can be used to improve the rate-of-return on ad spend, reduce manual work, and dramatically increase the number of users.

5. Monitoring & Quality Control (Link Coming)

No matter how well we put the games together or how many tests we perform, things often go wrong. Whether it’s an incorrect ad key or a suddenly blocked connection, issues are bound to come up.

What separates good game development from the best are the systems in place to detect these issues and alert the right people. Naturally, we want to find out how AI can help us do this.

In Summary

This is not an exhaustive list by any means; artificial intelligence and machine learning technology have many different use cases. But I think we’ve seen enough to know that AI is a hot topic for good reason.

If we as an industry can adopt this technology to solve our pain points, we stand to improve the value of the video games we create and run.

Indeed, we might not have the AI game of our imagination yet but, by the end of the decade, we will have the tools we need to build it. One thing is certain: the industry will never be the same again.

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