Čo je dôvodom, že sa od roku 2017 zvýšila potreba strojového učenia v ekosystéme reklám?

The correct answer highlights the confluence of factors that increased the need for machine learning in the ad ecosystem since 2017. Rising user expectations for privacy, new privacy regulations (like GDPR and CCPA), and technological shifts (such as browser changes limiting tracking) significantly impacted campaign measurability. Machine learning became crucial for advertisers to adapt to these challenges, enabling them to find patterns, optimize campaigns, and predict behavior in a privacy-centric environment where traditional tracking methods were becoming less effective. The option about Chrome's cookie removal is incorrect because while it's a significant development, the stated intention to remove cookies "as soon as an alternative is available" came later than 2017 as a primary driver. The options about marketers and data analysts "starting to use" or "supporting" machine learning are consequences, not the underlying reasons for the increased need for it.