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
- What are the biggest analytics-related burdens on compute resources?
- Where in the discovery process can workload reductions be targeted?
- What data management practices can contribute towards a smaller analytics carbon footprint?
- How can architects influence the distribution of analytics workload to reduce overall environmental cost?
- What will be the impact of moving workloads to the cloud?
Meet the panel
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Colin Bristrow
Pre-sales Insurance Manager UK&I, SASTwitter: @BristowColin
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David Weik
Solutions Architect, SASTwitter: @weik_david
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Eduardo Hellas
Statistician, Data Scientist , SASTwitter: @Pinduzera
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Harry Snart
Public Sector Customer Advisory, SASTwitter: @HarrySnart
Further reading
Reimagining the role of analytics in sustainability: 7 developments in vehicle-to-grid technology and renewables
