What Manufacturing Leaders Need to Know About Scaling Agentic AI
This webinar was originally broadcast on October 28, 2026.
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Manufacturing is further along the AI curve than most industries — but being further along doesn't mean being further ahead at scale. IT, OT, and IoT data often still sit in separate systems, none unified for an agent to act across.
New primary research from Omdia/Informa TechTarget, commissioned by Snowflake, reveals a sector experimenting aggressively but converting inconsistently: 52% of manufacturers already have live AI in supply chain or operations, yet 43% cite fragmented data as the primary barrier to scale.
This session unpacks what the research means for manufacturing leaders – and lays out the four-stage roadmap companies that have scaled have followed.
What you’ll learn:
- What the research reveals about manufacturing’s AI reality: adoption rates, where investment is flowing, and the structural barriers blocking scale
- Why the IT/OT/IoT fragmentation barrier causes pilot-project failure, and why agents can’t act on data they can’t see
- The four-stage roadmap to production agentic AI
Speakers
Greg Sloyer
Manufacturing Industry Principal
Snowflake
Greg Sloyer is the Snowflake Manufacturing Industry Principal as part of the go to market team. Greg has over 15 years working with businesses across Chemical, Auto, Aero, CPG, Hi-Tech and other industrial customers. Prior to this time, he spent nearly 20 years in the chemical industry in various positions across DuPont and BASF. His career started in IT, moved to logistics then spent several years as the Global Director of Supply Chain Operations for the Agriculture Products division of BASF.
Greg holds multiple degrees with Bachelors in Mathematics and Computer Science, a Masters in Statistics and a Ph.D. from the University of Delaware.
Juan Hurtado
VP, Business Intelligence & Data Analytics - Ingersoll Rand | AI COE Leader
Sponsored by
