June 06, 2025

How AI Is Reshaping Product Development

In this column, the author describes how integrating AI strategically and responsibly, companies can unlock its full potential, creating innovative, high-quality, and compliant food products that meet evolving consumer and industry demands.

Illustration of Innovative technologies in (AI) artificial systems, neural interfaces and internet machine learning technologies.

Shalima Sreenath

Food Technology Magazine

AI Applications

Understand top application areas for artificial intelligence and machine learning in food product development.
Industry Examples

Explore real-world industry examples of successful AI implementations.
Integration Challenges

Identify common pitfalls while integrating AI into product development.

In recent years, artificial intelligence (AI) and machine learning (ML) have rapidly evolved from futuristic concepts to practical tools driving innovation across industries. From health care to finance, these technologies are reshaping traditional approaches, making processes more efficient and data driven. The food industry, known for its blend of science and art, is no exception.

According to Grand View Research, the global AI in food and beverages market size was valued at nearly $8.5 billion in 2023 and is projected to grow at a compound annual growth rate of 39% from 2024 to 2030.

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Authors

Shalima Sreenath

Is head of downstream processing at Cellibre, where she leads the isolation of novel small molecules produced through precision fermentation (shalima@cellibre.com).