Demystifying Supplier Engagement: Driving Emission Reductions through Sourcing

  • How to transition from secondary to primary supplier emissions data and bank the benefit of lower impact products in your supply chain
  • Practical approaches for prioritising suppliers, ingredients, and ingredient groups that drive meaningful impact
  • Preparing suppliers for data sharing and decarbonisation to drive action beyond reporting
  • Case studies on swaps and strategies that have actually reduced supply chain emissions

Keynote: Using AI to Predict Ingredient Demands and Formulate Next Gen Ingredient Strategies

  • The Internet: The New Source of Consumer Truth

Billions of online conversations, reviews, and recipes are reshaping how we understand consumer needs. Learn how AI Palette transforms this unstructured digital chatter into real-time, actionable insights for CPG innovation.

  • AI Transformation: From Traditional Analytics to LLMs and Agentic AI

The evolution of AI is redefining how insights are generated, moving from traditional analytics to autonomous, reasoning-driven systems that can interpret culture, context, and emotion at scale.

  • Empowering CPG Brands to Discover, Launch, and Grow with Proprietary AI

AI Palette’s patented and proprietary technology helps brands identify emerging trends, optimize product concepts, and accelerate go-to-market success – all powered by a deep understanding of consumer data and ingredient innovation.

  • The Future of Insights: Always-On, Adaptive, and Predictive

We’re entering an era where insights aren’t static reports but living, evolving systems, continuously learning from the world’s conversations to guide faster, smarter product decisions.

The Wearable Sensor CRO: A New Model for Implementing Digital Measures that Must Withstand Regulatory Scrutiny

  • How well‑designed digital measures deliver measurable ROI in clinical trials by reducing missing data, improving statistical power, accelerating timelines, and preventing costly trial rework or failure.
  • How an end‑to‑end Wearable Sensor CRO delivery model integrates scientific strategy, operational oversight, and analytics to consistently produce regulatory‑ready datasets.
  • Real‑world case examples showing how proactive compliance monitoring and fit‑for‑purpose algorithms dramatically improve data completeness and statistical power.
  • The critical role of disease‑specific digital endpoint design versus off‑the‑shelf wearable algorithms in capturing meaningful treatment effects.
  • Practical guidance for clinical operations and outsourcing teams on reducing sponsor burden while scaling wearable technologies across global trials.