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Manufacturing 2026: Data, Risk & Resilience
Manufacturing and supply chain leaders face a pivotal year in 2026 as regulatory change, AI adoption, and rising customer expectations reshape how organisations operate.
In this webinar, we explore the essential role of high quality, harmonised data in enabling smarter decision-making, stronger compliance, and successful AI deployment. With many manufacturers still held back by data siloes, duplication, and low confidence in their analytics, improving data quality is now a prerequisite for resilience and innovation.
We’ll highlight how trusted data and new technologies can support faster AI adoption, and workflows such as risk monitoring, while still relying on human expertise for final judgement.
The session also highlights the regulatory shifts redefining production and procurement, from sustainability reporting to evolving trade and cybersecurity requirements.
Finally, we look at changing customer expectations around transparency, speed, and realtime visibility, and how businesses can adapt through more agile, localised supply chain models.
Join us to learn the data foundations and strategic actions needed to thrive in 2026.
What You’ll Learn
- How trusted, harmonised data unlocks resilience and AI success—including why poor data quality is causing AI projects to fail and how to build the right data foundation for 2026.
- How to navigate emerging regulatory pressures such as sustainability reporting, supplychain transparency, cybersecurity requirements, and the technologies needed to stay compliant.
- How to build more agile, riskready supply chains using advanced analytics, realtime visibility, and scenario planning to meet rising customer expectations for speed, transparency, and reliability.