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Upstage Talks: Strategies for Adopting AI Recommendations

Key point

Upstage will share strategies for adopting AI recommendation technology at an online event on February 16.

Details

Upstage will hold an online live event called Upstage Talks at 8 PM on February 16, sharing strategies for adopting AI personalized recommendation technology.

The topic is "AI Personalized Recommendations for Everyone: The Growth of Recommendation-Related Marketing Technology and How to Adopt It Within Companies", and Pyun Ui-hyun, Head of Upstage's Strategy Team and former Bain & Company member, will speak.

The presentation will proceed in the following order:

  • Changes in marketing trends and the rise of AI recommendation solutions
  • The effects of AI recommendation solutions and challenges in adoption
  • How to adopt AI recommendation solutions
  • Recommendation solutions for everyone

Upstage explained that as personalized experiences become more important, recommendation technology is establishing itself as a key marketing technology that boosts conversion rates and revenue. As examples, it noted that 35% of Amazon's revenue comes from recommendation technology, and 80% of Netflix users consume content through recommendation algorithms.

The event is open to company representatives considering AI recommendation technology as well as anyone interested in the latest marketing technology trends. Pre-registration is open from January 25 through the day of the event on Upstage's homepage and event page.

CEO Kim Sung-hoon said that while AI demand in the recommendation and search sectors is surging, the actual adoption success rate is only around 2%, and stated that this event would provide corporate customers with insights on adoption.

Based on papers at international AI conferences such as NeurIPS, ICLR, CVPR, ECCV, and WWW and multiple Kaggle gold medal achievements, Upstage offers the Upstage AI Pack. This package allows users to utilize OCR, recommendation technology that considers customer information and product/service characteristics, and semantic-based search technology all at once, and also supports data processing, AI modeling, metric management, and continuous updates.

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