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The industry has a data problem. 90% of all data has been created over the last two years alone, and 90% of that data is unstructured…. Data quality remains a top compliant of social listening practioner…. only 8% of chief data officers are satisfied with data quality. Xxx
In the world of generative AI even small data errors can be extrapolated to large ones.
Enter Conversus NLP, our award winning SaaS platform enables users to license, build, validate, and deploy highly accurate LLM-powered sentiment and other data classification models directly and seamlessly through most leading social listening platforms. It solves these data quality challenges through a unique “System of Accuracy” for proactive data quality management and governance.
“AI System of Accuracy”
- Proactive system for data quality management and improvement. Clear & effective AI usage, full transparency, superior accuracy, risk mitigation and human-in-the-loop governance.
- Generate superior data accuracy ( est. 90% precision/recall) via applying advanced prebuilt & bespoke LLM models with ability to fine tune to specific brand and domain. (slides 10-15)
- Improve data relevancy by average of 60% via Conversus Enterprise Query Management System while reducing time/cost/risk associated with traditional query design/management. Powered by new query language that blends AI and Rules (Page 8-9)
- Proprietary NLP technology built for high relevancy and precision.
- Ensures that insights are grounded in the most accurate data available.
Operational Efficiency and Cost Savings
- Efficiently build, edit and manage large, complex query libraries and measurement frameworks using our variable reference structure which nests queries within queries.
- Level up the precision and comprehensiveness of your searches with unique Boolean operators found nowhere else in the industry.
- Seamlessly combine Boolean, rules and AI in a single NLP pipeline for superior data filtering and noise reduction.
- Become truly platform agnostic: apply your queries and measurement frameworks consistently across any data source for a single source of truth.
Superior Data and Sharper, Faster Insights
Operational Efficiency and Cost Savings
- Efficiently build, edit and manage large, complex query libraries and measurement frameworks using our variable reference structure which nests queries within queries.
- Level up the precision and comprehensiveness of your searches with unique Boolean operators found nowhere else in the industry.
- Seamlessly combine Boolean, rules and AI in a single NLP pipeline for superior data filtering and noise reduction.
- Become truly platform agnostic: apply your queries and measurement frameworks consistently across any data source for a single source of truth.
A case in point
Operational Efficiency and Cost Savings
Johnson & Johnson
Separate Fads from Trends for Product Innovation -and Quantify Revenue Opportunity
Challenge
Traditional market research approaches were limited. They could not capture the new emerging trends or quantify them since they were just “points in time.” Most trend discovery solutions cannot quantify market size and revenue potential.
Solution
The team’s Innovation Research Group utilized a custom version of Conversus PRISM™ to map several categories of potential product development, understand key ascending and declining industry trends, including analyses of competitors within these categories.
To deliver on its innovative requirement to “get there first” the organization required new approaches that could separate fads from trends and also quantify the business value of the opportunity.
The combination of Converseon’s custom NLP and predictive modeling has helped us accelerate, evolve and drive broader adoption of our social listening efforts. In addition to advancing our social listening [...], Converseon ML models have made our social [...] data more trustworthy and relevant, allowing us to complete our research with confidence.”
–J&J
Operational Efficiency and Cost Savings
