The Role of AI in Sustainable Data Management

The exponential growth of digital data presents a significant environmental crisis, burdening the planet with energy consumption, resource depletion, and electronic waste. This document details the lifecycle footprint of data, highlighting the environmental costs associated with each stage from creation to disposal, particularly within the life science industry. Traditional data management’s focus on performance and cost has exacerbated these issues. However, Artificial Intelligence (AI) offers transformative solutions. By optimizing data capture, storage, processing, transmission, and disposal, AI can substantially reduce environmental impact. Case studies within this document illustrate both the challenges and the potential of AI-driven strategies to achieve sustainable data management practices.

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THE ROLE OF AI IN SUSTAINABLE DATA MANAGEMENT

Author Details

Santosh Bhat

Santosh Bhat is a Senior Consultant in Business Consulting, bringing expertise in solution and design, data governance, and quality design/implementation. He is also DCAM Certified from the EDM Council.

Yashvardhan Chamoli

Yashvardhan Chamoli is a Consultant in Business Consulting, specializing in Business Analytics with a focus on Strategy and Marketing. He brings consulting expertise within the US Life Sciences market.

Muskan Bansal

Muskan Bansal is a Consultant in Business Consulting, with experience in Ab Initio development, data warehousing, and analyzing business requirements to support and develop ETL projects.

Shriyani Roy

Shriyani Roy is an Analyst in Business Consulting with experience in pharmaceutical market research and data analysis. She specializes in analyzing market trends and strategic insights.

Shanmugam Lakshmanan

Shanmugam is a consulting professional with over 22 years of expertise in Business Consulting, Pre-Sales, Delivery Management, Program Management, Engineering Framework Solutions, and CoE Development for Data Management, Data Analytics & AI, Gen AI, and Responsible AI. He is presently the Data, Analytics, and AIX Practice Lead at Infosys Consulting Life Sciences.

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