Cortical.io Launches “Message Intelligence” to Tackle Formidable Enterprise Communications Challenges
Announces availability of a new solution that brings human-level accuracy to the automated analysis and routing of corporate messages
Cortical.io announced a real-time, natural language understanding solution to rescue corporate productivity from the deluge of enterprise email: Cortical.io Message Intelligence.
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Cortical_io Launches “Message Intelligence” to Tackle Formidable Enterprise Communications Challenges #AI #ArtificialIntelligence #NLU #NaturalLanguageUnderstanding
It’s no secret the flood of digital communications from email, messaging and Twitter and other sources exasperates our daily lives. Enterprises, in particular, are overwhelmed with communications from inside and outside of their organizations. Corporate email continues to be at the heart of this flood of data, with content that needs to be acted on in a timely manner. And the current environment with resource constraints, social distancing and working from home compounds the problem.
Consider these facts:
- In 2019, more than 128.8 billion business emails were sent and received per day.
- The average office worker receives 120 emails every day and spends a staggering 2.6 hours each day reading and answering them.
- Often, an incoming email doesn’t even reach the right person within the organization quickly. This impairs productivity in matters where speed is critical, resulting in operational delays and rising costs.
Enter Cortical.io Message Intelligence
Cortical.io, a leader in AI-based Natural Language Understanding (NLU), is tackling this daunting challenge with the release of Cortical.io Message Intelligence, a powerful solution for processing and routing messages in real time. The product accomplishes this by understanding the semantic content—the meaning and intent of the messages – at massive scale in real time. According to benchmarks using the well-known Enron email dataset, the product registers between 1,000 and 10,000 times faster than BERT, the NLP (Natural Language Processing) technique developed by Google while achieving the same level of accuracy.
