All industrial companies are engaged in a race to reduce their CO2 emissions to adapt to a shift in market demand and better manage their environmental risks and obligations (in order to, ultimately, comply with financial market requests and future regulatory requirements). But doing so is far from simple because:
-Energy data systems are highly fragmented.
-Companies lack a simple understanding of their footprint and the drivers to actively manage it.
-They struggle to successfully empower their employees with the appropriate data views and forecasting to pilot their approaches in a CO2-conscious manner.
In this webinar, hear from Dataiku’s Pierre Goutorbe (AI Solutions Director, Manufacturing & Energy) and Romain Menini (Sr. Data Scientist, Manufacturing) alongside electricityMap’s Liv Montmerle (Head of Sales & Partnerships) to break down how organizations can combat these challenges in practice.
They will highlight the Dataiku factories electricity & CO2 emissions forecasting business solution that enables companies to quickly create a unified and interactive view of their electricity consumption across manufacturing sites and meters and easily convert it to CO2 through real-time carbon intensity data from electricityMap. Leveraging AI, it will enable production planners to forecast electricity and CO2 emissions linked to their planned production plans and adjust their geographical allocation choices to optimize their footprint.