TrendSense: An AI-Driven Predictive Intelligence Platform for Technology Foresight

TrendSense is an AI-driven predictive intelligence platform designed to forecast emerging technological trends within high-velocity innovation spaces such as Retrieval-Augmented Generation (RAG) and Vector Databases. The research addresses the challenge of “information time lag,” where traditional tracking methods react too slowly to new developments. TrendSense shifts the paradigm from reactive to proactive foresight by aggregating niche data from academic preprints, developer repositories, and industry discussions. Using advanced feature engineering, time-series analysis, and machine learning, it computes a unified Trend Score that predicts the likelihood of a technology’s mainstream adoption within the next 3–6 months. The system has demonstrated an 8.3 Trend Score in simulated testing, validating its predictive model. The study concludes that TrendSense effectively filters information noise and delivers actionable intelligence for researchers, developers, and organizations to anticipate innovation trajectories early.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-05
DOI
https://doi.org/10.5281/zenodo.17528093
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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article

TrendSense: An AI-Driven Predictive Intelligence Platform for Technology Foresight

Zenodo (CERN European Organization for Nuclear Research)
Data Quality and Management
article

TrendSense: An AI-Driven Predictive Intelligence Platform for Technology Foresight

article en

Abstract

TrendSense is an AI-driven predictive intelligence platform designed to forecast emerging technological trends within high-velocity innovation spaces such as Retrieval-Augmented Generation (RAG) and Vector Databases. The research addresses the challenge of “information time lag,” where traditional tracking methods react too slowly to new developments. TrendSense shifts the paradigm from reactive to proactive foresight by aggregating niche data from academic preprints, developer repositories, and industry discussions. Using advanced feature engineering, time-series analysis, and machine learning, it computes a unified Trend Score that predicts the likelihood of a technology’s mainstream adoption within the next 3–6 months. The system has demonstrated an 8.3 Trend Score in simulated testing, validating its predictive model. The study concludes that TrendSense effectively filters information noise and delivers actionable intelligence for researchers, developers, and organizations to anticipate innovation trajectories early.

Zenodo (CERN European Organization for Nuclear Research)
MIT Art, Design and Technology University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Data Quality and Management
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TrendSense: An AI-Driven Predictive Intelligence Platform for Technology Foresight · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS