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AI Adoption Soars in India, But Energy Demands and Infrastructure Challenges Threaten Sustainability Goals, Reveals Pure Storage Survey
85% of organizations across sectors indicate a need for substantial or complete IT infrastructure upgrade to support AI Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world's most advanced data storage technology and services has released a new report highlighting the preparedness of
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AI Adoption Rises in India, But Energy Demands Threaten ESG Targets, Says Pure Storage
Pure Storage has released a new report highlighting the preparedness of enterprises in India to compete in a business landscape characterized by two key trends - AI and sustainability. The report, "India's AI Journey: Balancing Innovation with Sustainable Growth" found that while AI is a top
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AI priority raises concerns over energy consumption: Report
AI is being leveraged across various functions such as marketing and sales, IT operations and fraud detection. (Image/Reuters) Pure Storage, a leading provider of advanced data storage technology and services, in a report said while AI remains a priority for innovation, increased productivity and
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A recent survey by Pure Storage reveals a significant increase in AI adoption across Indian businesses, but highlights growing concerns about energy demands and infrastructure challenges that may hinder sustainability goals.

A recent survey conducted by Pure Storage has revealed a significant surge in artificial intelligence (AI) adoption across Indian businesses. The study found that 69% of Indian IT leaders have already implemented AI solutions, while an additional 27% plan to do so within the next 12 months
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. This rapid adoption rate underscores the growing importance of AI in driving digital transformation and enhancing business operations in the country.While the rise of AI adoption is promising for business innovation, it has also raised concerns about the increasing energy demands associated with these technologies. The survey highlighted that 89% of Indian IT leaders are worried about the environmental impact of their AI initiatives
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. This concern stems from the substantial computational power required to run AI and machine learning algorithms, which in turn leads to higher energy consumption.The rapid adoption of AI has also exposed infrastructure challenges that threaten to impede progress towards sustainability goals. Many organizations are finding their existing IT infrastructure inadequate to support the demands of AI workloads efficiently. This has led to a growing need for more advanced and energy-efficient infrastructure solutions to balance the benefits of AI with environmental responsibilities
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.Despite these challenges, Indian businesses remain committed to both AI adoption and sustainability. The survey revealed that 96% of IT leaders believe AI is crucial for meeting their organizations' environmental, social, and governance (ESG) goals
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. This paradoxical situation highlights the need for innovative solutions that can support AI growth while minimizing environmental impact.To address these concerns, many organizations are exploring strategies to make their AI initiatives more sustainable. These include:
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As AI adoption continues to accelerate, there is a growing call for collaboration between government bodies and industry leaders to develop guidelines and standards for sustainable AI implementation. This collaborative approach could help establish best practices for energy-efficient AI deployment and ensure that the benefits of AI are realized without compromising environmental sustainability
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.The survey findings paint a complex picture of AI adoption in India, highlighting both the immense potential and the significant challenges that lie ahead. As organizations continue to navigate this landscape, the focus will likely shift towards finding a balance between leveraging AI for business growth and maintaining a commitment to sustainability goals. The coming years will be crucial in determining how effectively Indian businesses can harness the power of AI while minimizing its environmental footprint.
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