Converseon Launches New AI-Powered Solution to Identify Hard-to-Find Adverse Events in Social Data

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Converseon, the leading AI + human social intelligence and technology firm, today announced the roll out of a new product that leverages machine learning to capture and identify adverse events.

“ConversusAE” utilizes Converseon’s active machine learning technology built on a corpus of human training input built up over the last decade to separate meaningful AE signals from the massive unstructured social conversation and pinpoint specific record

ConversusAE

Our AI technology, which has been tuned for this specific task (AE tracking), is ideally suited to pick up on complex patterns in the data that are missed by humans to find and identify events with high precision.

Converseon Launches New AI-Powered Solution to Identify Hard-to-Find Adverse Events in Social Data

Converseon, the leading AI + human social intelligence and technology firm, today announced the roll out of a new product that leverages machine learning to capture and identify adverse events. The announcement was made at the Intellus Worldwide Summit in Philadelphia.

“ConversusAE” utilizes Converseon’s active machine learning technology built on a corpus of human training input built up over the last decade to separate meaningful AE signals from the massive unstructured social conversation and pinpoint specific records that meet the criteria for adverse event reporting. The solution was recently piloted with a leading pharma company where it successfully identified approximately a dozen Adverse Events out of a data set of several hundred million records in near real time.

“Finding adverse events within social conversation is like finding the proverbial needle in the haystack,” said Rob Key, CEO and Founder of Converseon. “Keyword-based, Boolean-based approaches simply cannot capture the nuances of expressions that can make up an adverse event with any level of precision, either missing key events or providing companies with far too many false signals. Our AI technology, which has been tuned for this specific task, is ideally suited to pick up on complex patterns in the data that are missed by humans to find and identify events with high precision.”

Conversus.AE utilizes active machine learning which assigns confidence scores to each record allowing for users to set specific thresholds to meet their needs. Also, given there is not yet a specific common standard for AE reporting across companies, algorithms are able to be rapidly customized and adjusted to meet specific organizational criteria. Advanced sentiment, emotion and “intensity” scores are also provided with each record and very granular, entity level to capture the deepest level of detail on relevant social conversations.

The product is being demoed at the Converseon booth and demo center at the Intellus event. For private demos, please contact sales@converseon.com

About Converseon

For over a decade, Converseon has provided industry-leading, machine learning-powered social intelligence technologies and insight solutions to leading healthcare and pharma brands around the world. Its Conversus.AI technology is a machine learning as-a-service platform that provides advanced analysis and processing of unstructured social and related voice-of-customer data to separate meaningful signals from unstructured data noise, improve accuracy and accelerate organizational insights. The firm has been consistently ranked as an industry leader by leading analyst groups. Conversus.AI was named Dataweek’s Top Innovator in Social Data Mining.

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Jane Quigley
Converseon
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