3min chapter

DataFramed cover image

#138 Data Science & AI in the Gaming Industry

DataFramed

CHAPTER

What Is a More Challenging Time for the Data Science Team?

Pre-launch is more challenging because you don't have a lot of data. Once the game is released there is new challenge too so you need to be sure your model was able to absorb all of that it's going to cost more money. With more data there is new behaviors that maybe you didn't catch up when you were on pre-launch but once you have everything in place the kind of issues you will have is usually easier to tackle than when you are building everything up for a scratch. How does the communication flow look like then with the creative teams how often do they update the game after that what does that process look like? It all depends on the kind of games obviously if it

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode