blog_posts: 0074754391
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#20-5431 | 2024-01-11 18:39:24 | Level-Up Player Retention with No-Code Machine Learning Using Amazon SageMaker Canvas | https://aws.amazon.com/blogs/gametech/level-up-player-retention-with-no-code-machine-learning-using-amazon-sagemaker-canvas/ | Free-to-play (F2P) games have become a dominant force and model in the gaming industry. Their revenue relies primarily on in-game ads and transactions driven by a large, engaged, and consistent player base. Besides requiring robust infrastructure and backend systems to handle the scale of incoming players, F2P games also require a continual funnel of new players, [...] | https://d2908q01vomqb2.cloudfront.net/91032ad7bbcb6cf72875e8e8207dcfba80173f7c/2024/01/05/Amazon-SageMaker-Canvas-blog-300x170.png | 0074754391 | Scott Flaster, Matt Stevenson | 2024-01-11 18:39:24 | 11 Jan 2024 |
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- 12 rows from blog_post_hash in blog_post_tags