Categories: Cloud & SaaS

Hypefactors Will Launch AI-powered ‘Presence Tracking’

The SaaS company Hypefactors, that delivers a unified solution for media intelligence and reputation tracking, will further improve its data enrichment assets by launching a ‘Presence AI’ (artificial intelligence).

Developed by Hypefactors’ Data Science team, the Presence AI sets a leaping new standard for measuring media impact, as it automatically determines whether specific news coverage is exclusively focused on a specific brand/company/topic vs. being focused on more brands/companies/topics. This is important insight for clients when evaluating media impact and relevance.

The Presence AI brings several advantages:

It handles over 100 languages in common use, which is especially valuable for internationally operating brands and companies.
It is fully integrated with Hypefactors’ media monitoring capabilities. Popular brands and companies with millions of media occurrences per month can narrow down to the exclusive impacting news stories that truly matters.
It is fully integrated with Hypefactors’ media impact and reputation measurement. For companies large and small, measurement is more precise than ever.

Google has been pioneering this challenging natural language processing task for the last decade. Google’s algorithm is well-known and patented. Yet, their method is resource-intensive to construct and only handles a single language at a time. Hypefactors’ approach differs drastically and alleviates both disadvantages. Its proprietary approach contributes to Hypefactors’ unique tech asset and IP base.

The Presence AI will be automatically activated to all current and new clients. It will also be offered with the upcoming API solution that is expected to be launched in Q4/2021, in which the Hypefactors global media database, automation and enrichments can be integrated directly into other existing IT infrastructure and platforms. This will make the technology available for more users and could provide additional revenue streams.

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