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Data analysis 2020-02-19

Hive

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Cloud content analysis and moderation.

Overview

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Hive is a cloud-based AI solution for understanding content, providing developers with pre-trained AI models to address complex content understanding needs and integrate them into their applications.

Hive’s AI models are used for content moderation, paywall enforcement, visual moderation, text moderation, audio moderation, demographic identification, logo and logo location identification, visual context identification, OCR, speech-to-text, translation, AI-generated media recognition, web search, custom search, copyright search, NFT search, contextual search, moderation dashboard, content moderation, sponsorship intelligence, ad intelligence, context-based ad targeting, and more.

With Hive, developers can unlock insights into visual, audio, and text content with human-level accuracy and machine-level efficiency. Their AI models are trusted by hundreds of the world’s largest and fastest-growing companies, including online communities, dating apps, NFT platforms, marketplaces, brands, publishers, teams, and leagues.

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Hive was manually vetted by our editorial team and was first featured on January 30th 2023.

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Pros and Cons

Pros

Cloud-based solution

Variety of application integrations

Used for content moderation

Effective for paywall enforcement

Visual moderation capabilities

Text moderation capabilities

Audio moderation capabilities

Demographic identification available

Logo and logo location identification

Visual context identification

OCR capabilities

Speech-to-text feature

Translation capabilities

Web search features

Custom search capabilities

NFT search feature

Contextual search capability

Moderation dashboard provided

Sponsorship intelligence feature

Ad intelligence tool

Context-based ad targeting

Trusted by large-scale companies

Useful for online communities

Efficient for dating apps

Applicable to NFT platforms

Appropriate for marketplaces

Brand recognition capabilities

Publisher application integration

Team and league proficiencies

Visual, audio, and text insights

Human-level accuracy

Machine-level efficiency

Content tagging API

Intelligent search APIs

Real-time moderation

Real-time transcription

Real-time translation

Cross-platform ad analysis

Digital ownership enforcement

Sponsorship and branded measurement

Automated ad standards review

Custom media library search

Natural language search on images

Monetization of ad inventory

Screening user-generated content

Visual similarity search

Cons

No offline functionality

Lacks intuitive user interface

Limited language support

May raise privacy concerns

Inefficiency in handling large datasets

Potential accuracy issues

Limited customization options

No real-time support or troubleshooting

High computational demands

Q&A

What is Hive AI?

Hive AI is a cloud-based AI solution for content understanding, providing developers with pre-trained AI models to address complex content understanding needs. The models can be integrated into apps and are used to moderate content, enforce paywalls, identify demographics, locate logos, ascertain visual context, perform OCR, convert speech-to-text, translate languages, and recognize AI-generated media among other functions.

How does Hive's AI model work?

Hive's AI operates on pre-trained deep learning models that are integrated into applications through APIs. These models analyze audio, visual, and text content to provide valuable insights with accuracy akin to human-level comprehension, but with the efficiency of an automated approach.

What industries or companies can benefit from Hive's AI models?

Hive's AI models can benefit a variety of industries and companies including online communities, dating apps, NFT platforms, marketplaces, brands, advertisers, publishers, sports teams and leagues. Essentially, any organization that seeks a better understanding of their content and wants to unlock insights through content moderation, ad intelligence, sponsorship intelligence, or AI-powered search could utilize Hive’s technology.

What does Hive's content moderation feature entail?

Hive's content moderation feature enables the screening of audio, visual, and text content in real-time. It allows the moderation of images, videos, GIFs, livestreams, and even text within images. This feature is designed to help ensure the content on a platform adheres to its guidelines and standards, for a safer and more enjoyable user experience.

How accurate is Hive in translating different languages?

Hive can translate text in real-time across multiple languages. Its models use deep learning to perform translations with high accuracy. However, no specific statistical data on the accuracy of Hive's translation services is provided on their website.

Can Hive identify and moderate AI-generated content?

Yes, Hive can identify and moderate AI-generated content such as artwork, photos, and memes. This feature allows platforms to easily identify, moderate, and if necessary, remove any artificial intelligence-generated media that could infringe upon guidelines or copyrights.

What is the functionality of Hive's visual context feature?

Hive's visual context feature identifies common objects, settings, and event types within videos and images. It gives apps the ability to make sense of visually-rich content, providing useful contextual data that can be harnessed for a variety of functions, from enhancing user engagement to moderating content.

How does Hive's translation feature work?

Hive's translation feature works by using deep learning models to translate text in real-time across multiple languages. It can be integrated into applications to provide real-time translation capabilities.

How does Hive's paywall enforcement feature work?

Hive's website does not provide specific details on how the paywall enforcement feature works. Therefore, the exact functionality of this feature is unknown.

In what ways is Hive useful for NFT platforms?

For NFT platforms, Hive offers services like searching for unique NFT assets on major blockchains, verifying digital ownership, and moderating user interactions. In essence, Hive can help NFT platforms maintain the uniqueness of their assets and protect against scams and fraud.

What's the purpose of Hive's ad intelligence feature?

Hive's ad intelligence feature provides an analysis of ad performance across platforms. It helps measure and manage cross-platform ad campaigns, giving insights into ad reach and effectiveness, potentially enabling the optimization of ad spending and strategy.

What kinds of content can Hive's OCR feature handle?

Hive's OCR (Optical Character Recognition) feature can extract text and emojis from images and videos in over 15 different languages. This allows the retrieval of embedded textual data from a broad assortment of multimedia content.

What is the Hive moderation dashboard and what can it do?

Hive's moderation dashboard is a no-code platform that streamlines content moderation workflows. It allows organizations to efficiently moderate content including video, images, text, and audio, ensuring their platforms adhere to their content policies and guidelines.

How does Hive's speech-to-text feature function?

Hive’s speech-to-text feature can transcribe audio in real-time across multiple languages. It is integrated into applications through an API and utilizes deep learning models to convert spoken words into written text.

Can Hive identify logos and logo locations?

Yes, Hive can identify thousands of logos and common logo locations within videos and images, making it capable of recognizing branded content even across a large volume of visual data.

What is Hive's demographic feature useful for?

Hive's demographic feature is designed to identify demographic attributes within videos and images. It could potentially help in understanding audience composition and customizing content or ads based on the target demographic.

Can Hive work with audio content?

Yes, Hive is capable of working with audio content. It can moderate audio content in real-time, screen for inappropriate sounds, and transcribe speech to text across multiple languages.

In what ways can dating apps benefit from Hive?

Dating apps could benefit from Hive's AI models by improving user experience through enhanced moderation and user verification. These features can help dating apps maintain a safe, authentic, and respectful community by detecting and acting on inappropriate content or behavior.

What is the purpose of Hive's sponsorship intelligence feature?

Hive's sponsorship intelligence feature is a AI-powered platform for measuring sponsorships across platforms. It enables the tracking and quantification of sponsorship impressions and values, providing insights necessary to evaluate sponsorship effectiveness and return on investment.

How does Hive help with context-based ad targeting?

Hive helps with context-based ad targeting by analyzing the content where ads are placed. This ensures that ads are relevant to the content they're associated with, improving user experience, ad effectiveness, and brand safety.