From ingredients to intelligence: building the data foundation for AI-driven food innovation
Sponsored by 
Specright2026-08-12T14:00:002026-08-12T14:00:002026-08-12T15:00:00
AI is reshaping food innovation, but its success depends on the quality of the data beneath it. Discover why structured product data is becoming the foundation for faster formulation, streamlined compliance and smarter decision-making.
AI has enormous potential to transform food and beverage R&D, from accelerating formulation to simplifying compliance and label creation. However, many organisations are still trying to apply it to fragmented data and disconnected processes that were never designed for intelligent automation.
The result is predictable: promising pilots that struggle to deliver lasting value.
In this webinar, they explored why structured product data - the information behind ingredients, formulations, specifications and labels - is the critical enabler of AI in food R&D and what a modern, connected approach looks like in practice.
You’ll learn:
- Why data quality determines whether AI initiatives succeed or fail Explore how a spec-first approach can eliminate up to 50 percent of non-lab tasks, freeing scientists to focus on higher-value work
- How leading manufacturers are reducing manual work across formulation, labelling and regulatory compliance
- Discover how to build an R&D data foundation that captures institutional knowledge and compounds value over time
- Five practical AI use cases, from ingredient search to automated label generation
- How connected product data helps teams respond faster to reformulation and changing regulations
- A framework for evaluating AI opportunities before making significant investment decisions
Whether you’re exploring AI for the first time or looking to scale existing initiatives, you’ll leave with a clearer understanding of the foundations required to deliver measurable business value.