Using Data & AI to Track Consumer Sentiment
Using Data & AI to Track Consumer Sentiment
SVP, Chief Clinical Officer
A global professional services leader engaged us to analyze trust in emerging technologies across industries, focusing on both opportunities and risks tied to adoption. Using Generative AI and NLP, we analyzed over 143,400 articles and media sources to assess public sentiment and media coverage. Our data product, which cross-tabulated companies, organizations, and influencers with technology trust themes, uncovered positive sentiment toward certain technologies, while also revealing significant privacy concerns. These findings empowered the client to realign their investments, prioritizing transparency and ethical practices to strengthen public trust. By leveraging these insights, they enhanced their market leadership in responsible technology adoption, gaining a competitive edge.
SVP, Chief Clinical Officer
Comprehensive Sentiment Analysis
Analyzed 143,400 articles and media sources to gauge public trust in various emerging technologies.
Data Product Development
Built a data product that integrated public and private data sources across social media, industry publications, and web platforms, capturing trust themes.
Cross-Tabulation of Influencers & Organizations
Identified key players influencing public trust, allowing the client to better understand industry trends.
Strategic Recommendations
Advised the client to prioritize investments in transparency and ethical practices to enhance public trust and leadership in emerging technologies.
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