Converseon Launches Decision Intelligence Suite
Converseon, a provider of artificial intelligence-powered consumer intelligence technology and insights, has launched the Decision Intelligence suite, which leverages conversation data to predict business outcomes. The solutions have been in beta for the past year, powered by a combination of real-time social and conversation data streams, applied AI technologies, and business decision simulation tools. They […]
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Converseon, a provider of artificial intelligence-powered consumer intelligence technology and insights, has launched the Decision Intelligence suite, which leverages conversation data to predict business outcomes.
The solutions have been in beta for the past year, powered by a combination of real-time social and conversation data streams, applied AI technologies, and business decision simulation tools.
They are designed to reinvent brand and corporate reputation, measurement, and analytics with an always-on brand and reputation guidance system.
“Exponentially growing social and related conversational data is a powerful source for predictive insight at a time it’s most needed, but such data all too often drowns brands with too much noise and hindsight insights,” said Rob Key, CEO of Converseon.
“To address these issues, our decision intelligence solutions employ advanced data classification to eliminate noise and use augmented, AI powered intelligence to provide the data that matters that is precise, predictive, and tied to business outcomes for a world where even real time is not always fast enough.”
The solutions, which are powered by Converseon’s Conversus autoNLP platform, include the following:
- The Social Reputation Intelligence System (SRIS), which provides enhanced predictive reputation intelligence to connect the dots between data, action, and business outcomes; identify the attributes and decisions that matter most for business success; discover potential blind spots; and enable deep drill-downs into customer experience and environmental, social, and governance measures across stakeholder groups.
- Social Brand Relevance System (SBRS), which enables marketers to understand how well the brand and product lines fit with the category needs and benefits of the core and secondary target markets;
Both solutions include an Assess module to view current and past performance and to benchmark against key competitors, a Diagnose view to understand key drivers and topics and which ones are the key business drivers, and a Predict view that allows users to simulate the likely impact of key decisions in advance.
