Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from Quick Response Systems and the data sharing outlined in our privacy policy.
Initializing
Loading
Developing an End-to-End Approach to Sustainable AI
As AI adoption accelerates, sustainability can't be an afterthought. The IDC report, "Developing an End-to-End Approach to Sustainable AI," explains how Dell is helping organizations like yours balance innovation with environmental impact. This report reveals the sustainability priorities of today's IT leaders and how Dell's end-to-end strategy supports long-term ESG goals. Download the report to explore the future of sustainable AI, and contact Q. R Systems to start building your strategy.
Please enter your information below to access this content:
According to IDC’s Sustainable AI and AI for Sustainability Survey, nearly 76% of respondents indicated that AI is critical to their sustainability transformation journey. This highlights the growing recognition of AI's role in achieving sustainability objectives alongside business goals.
Key Factors for Sustainable AI Transformation
Organizations must develop a comprehensive approach that includes strong coordination between business and technology strategies, effective people skilling, and a solid governance model. These components should embed sustainability considerations to ensure that AI initiatives align with corporate sustainability goals.
Challenges of AI in Sustainability
Organizations encounter several challenges, including increased energy demand and carbon emissions from AI workloads. IDC predicts that global datacenter energy consumption could grow by nearly 20% from 2023 to 2028, largely driven by AI. Additionally, concerns about e-waste and the ethical use of AI also pose significant challenges.
Developing an End-to-End Approach to Sustainable AI
published by Q. R Systems
Q. R Systems is a consulting firm specialized in providing Information Technology services including Network Security, Cloud adoption, Iaas, Managed Services, Computer break and fix etc to small and midsize businesses.