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From Data to Opportunity: Uncovering gaps in the market with Multi-Agent AI
Woensdag 15:30 - 16:00
Lezingenzaal 8
Soraya Duriez
Digital Customer & Consumer Insights Expert
How do you uncover new commercial opportunities in a market full of products, trends, and data? dsm-firmenich, together with Xebia, developed the Market Insights Analyst: an AI-powered solution that uses multiple AI agents to analyze market and product data to identify promising whitespaces.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
Michele Marchini
Global Business Insights Director
How do you uncover new commercial opportunities in a market full of products, trends, and data? dsm-firmenich, together with Xebia, developed the Market Insights Analyst: an AI-powered solution that uses multiple AI agents to analyze market and product data to identify promising whitespaces.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
Rogier van der Geer
Field CTO
How do you uncover new commercial opportunities in a market full of products, trends, and data? dsm-firmenich, together with Xebia, developed the Market Insights Analyst: an AI-powered solution that uses multiple AI agents to analyze market and product data to identify promising whitespaces.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
How do you uncover new commercial opportunities in a market full of products, trends, and data? dsm-firmenich, together with Xebia, developed the Market Insights Analyst: an AI-powered solution that uses multiple AI agents to analyze market and product data to identify promising whitespaces.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
In this session, dsm-firmenich and Xebia will show how a multi-agent approach can support complex market analysis, connect product portfolios to global trends, and uncover opportunities that might otherwise remain hidden. Discover how an initial AI prototype evolved into a scalable solution for market intelligence — and the key lessons learned along the way about data, technology, adoption and bringing AI into production.
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