Data, emerging technologies, and the circular economy: how Accenture and AWS are unlocking environmental and business impact

This article discusses how Accenture and AWS are collaborating to enable data-driven solutions for the circular economy, which aims to transition away from the traditional "take-make-waste" economic model towards a more sustainable and resource-efficient approach.

Specifically, the article covers:

• The challenges in achieving accurate and actionable circular economy data, including selecting the right metrics, collecting and transforming data from across the value chain, and turning data into insights for decision-making.
• The role of emerging technologies like AI, ML, IoT, and data analytics in addressing these challenges and unlocking value from circular economy data.
• The development of a circular data lake architecture by Accenture and AWS to automate data ingestion, transformation, and analysis for circular economy performance measurement.
• Examples of foundational and advanced use cases for circular intelligence solutions across the value chain, such as circular procurement, material substitution, and supply chain risk assessment.
• A call to action for companies to define their circular economy blueprint, assess their maturity, prioritize use cases, and embark on a multi-generational journey towards data-driven circularity, with the support of Accenture and AWS.