Customizing Hive Moderation Models with AutoML

Seamlessly incorporate your own custom classes and to our industry-leading moderation models with Hive AutoML.

January 11, 2024

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Bain PR Release

Bain & Company introduces Bain Media Lab; Announces partnership with Hive and launch of Mensio, an AI-powered analytics platform to analyze TV advertising and sponsorships

Hive
 | 
April 30, 2019
Human silhouette with circuit stylized brain
The Effect of Dirty Data on Deep Learning Systems

Introduction Better training data can significantly boost the performance of a deep learning model, especially when deployed in production. In this blog post, we will illustrate the impact of dirty data, and why correct labeling is important for increasing the model accuracy. Background An adversarial attack fools an image classifier by adding an imperceptible amount […]

Xin Li
 | 
April 23, 2019
One Shining Moment for Brands

At a glance: Hive analyzed the NCAA Championship game to assess logo distribution by Brand Prominence*, earned media exposure, and viewership trends across games. AT&T’s sponsored logos on digital overlays and during the halftime shows won the most screen time across all of March Madness. Apparel sponsors placed their own March Madness bets by choosing which […]

Kevin Guo, CEO
 | 
April 17, 2019
Survive and Advance: Winners of the Sweet 16 and Elite Eight

At a glance: Hive analyzed the Sweet 16 and Elite Eight to assess logo distribution by brand prominence, earned media exposure, and viewership trends across games. Buffalo Wild Wings capitalized on its overtime commercial spots, with the highest average household reach (5.7% of households) on its placements. AT&T’s logo placements showed consistency, maintaining its spot […]

Kevin Guo, CEO
 | 
April 8, 2019
Brand Madness: The Road to the Final Four

At a glance: March Madness is the most anticipated tournament of the year for college basketball fans, bracket-holders, and advertisers alike. Hive analyzed the First and Second Rounds to assess viewership trends across games, earned media exposure, and sponsorship winners. The highest average viewership occurred during the Round of 32 where Auburn vs. Kansas had […]

Kevin Guo, CEO
 | 
March 28, 2019
Spark on Mesos Part 2: The Great Disk Leak

After ramping up our usage of Spark, we found that our Mesos agents were running out of disk space. It was happening rapidly on some of our agents with small disks: The issue turned out to be that Spark was leaving behind binaries and jars in both driver and executor directories: Each uncompressed Spark binary […]

Martin Loncaric
 | 
March 8, 2019

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