Kirby (by Kadoa)
The autonomous AI web agent for reliable, structured data extraction at scale.
Transform unstructured data into predictive market insights with cognitive trend analysis.
IBM Watson Trend, originally a consumer-facing application, has been fully integrated into the IBM Watson Discovery and watsonx.ai ecosystem for 2026. It leverages advanced Natural Language Processing (NLP) and machine learning to analyze millions of conversations across social media, reviews, and forums to identify emerging patterns before they become mainstream. The technical architecture utilizes IBM's proprietary 'Smart Document Understanding' (SDU) to ingest high-velocity data streams, applying sentiment analysis and anomaly detection to separate fleeting fads from sustainable market shifts. In the 2026 landscape, the tool functions as a sophisticated trend-detection engine for retail, supply chain, and marketing leaders. It operates on the IBM Cloud, utilizing RAG (Retrieval-Augmented Generation) architectures to allow users to query massive datasets using natural language. This evolution ensures that the predictive power once found in the standalone Trend app is now a robust enterprise-grade utility for real-time market signals and competitive benchmarking.
Uses visual recognition to identify structure in complex documents (headers, tables, footers) to improve query precision.
The autonomous AI web agent for reliable, structured data extraction at scale.
Turn fragmented consumer data into structured knowledge graphs for hyper-accurate market simulation.
Real-time B2B intelligence and data integrity engine for precision-guided account-based growth.
The Next Move Is Yours: Luxury Real Estate Powered by Proprietary Intelligence.
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Statistical analysis of correlations and trends across huge datasets to find 'unknown unknowns'.
Tracks the velocity and acceleration of sentiment changes over time windows.
Ability to upload custom dictionaries and entity extractors using Watson Knowledge Studio.
Uses Bayesian inference to detect statistical outliers in document frequency.
Deep learning models that support sentiment analysis in over 10 languages natively.
Connects Discovery as a vector-store for watsonx.ai LLMs to provide grounded trend summaries.
Retailers often overstock items that are losing social momentum.
Registry Updated:2/7/2026
Identifying brand-damaging narratives before they go viral.
Lack of visibility into competitor product flaws perceived by customers.