sustainability sphere

Containing the carbon footprint of AI

Analytics is a powerful weapon in the journey to climate resilience. But is analytics itself being deployed and managed in a sustainable manner?

Join this panel to explore options open to data scientists,
engineers and architects.


Discussion triggers

  1. What are the biggest analytics-related burdens on compute resources?
  2. Where in the discovery process can workload reductions be targeted?
  3. What data management practices can contribute towards a smaller analytics carbon footprint?
  4. How can architects influence the distribution of analytics workload to reduce overall environmental cost?
  5. What will be the impact of moving workloads to the cloud?

Further reading

The business risks of climate change: Where technology and nature meet

Why we need analytics to guard earth’s natural capital


How analytics is helping with climate sustainability


Reimagining the role of analytics in sustainability: 7 developments in vehicle-to-grid technology and renewables

Enabling dreams – and partners – with a hackathon