AI News 02月04日
Sustainability is key in 2025 for businesses to advance AI efforts
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随着人工智能的快速发展,其对环境的影响日益受到关注。企业若忽视AI的可持续性,将面临声誉受损、不符合法规等风险。实施节能技术、优化资源利用和减少电子垃圾是构建可持续AI框架的关键。IDC预测,企业将转向可持续AI框架,以应对AI带来的环境挑战。选择将可持续性融入AI战略的企业将在未来占据领先地位,而忽视这一趋势的企业则可能落后。因此,企业应积极采取措施,平衡创新与环保,确保AI的可持续发展。

📈**可持续AI框架的重要性**:企业需要构建可持续AI框架,以支持运营效率和业务增长。未能跟上可持续实践的步伐可能导致声誉损害,并面临不符合法规的风险。

♻️**电子垃圾管理**:企业若未妥善回收设备,可能面临负面反馈和业务损失。因此,企业必须考虑构建可持续的AI框架,以支持运营效率,鼓励业务增长。

💡**节能技术应用**:优先实施限制能源消耗的技术,有助于确保符合法规,实现更大的可持续发展目标,并在日益关注环境的世界中加强品牌声誉。

🤝**产业合作**:华硕与英特尔合作提供优先考虑能源效率的服务器,表明企业可以通过合作来实现可持续发展目标,平衡监管压力、客户期望和整体业务目标。

Since AI hit the mainstream in the last few years, industries across the world are feeling the positive impacts. From helping humanity to clean up our oceans to helping doctors to detect cancers earlier than ever before, AI’s potential and impact are growing by the day.

Regardless of whether this is being powered via a supercomputer, edge computing methods, or a traditional data centre, society is truly feeling the positive effect of advances in the AI industry.

However, with fresh innovation has always come questions around environmental impact. These concerns are gaining momentum, especially around the energy consumption associated with the increased processing power required to run increasingly large systems.

The United Nations Environment Programme recently expressed concerns about the rising levels of e-waste and cooling considerations for data centres more specifically. This also follows on from similar concerns from academia, who have flagged that a larger carbon footprint might be the price we are paying for innovation.

Add on top of this the fact that governments globally are implementing new regulations and reporting requirements as part of initiatives to curb the impact of climate change, such as the EU’s Circular Economy Action Plan (CEAP), and it becomes clear this issue is coming to the forefront of the AI agenda.

Analysts around the globe are also beginning to focus on this, with Gartner naming energy-efficient computing as a top technology trend for 2025, as organisations come under pressure to show they are considering the impact AI is having on the environment.

Businesses that are not considering sustainability as part of core AI infrastructure and expansion or technology strategies are at risk of hindering their own progress. Failing to keep pace with sustainable practices can cause reputational damage, as organisations may be seen as behind the curve in an increasingly sustainability-focused world, alongside risking non-compliance with regulation.

When looking at the previously mentioned example of e-waste, if organisations are found to be not properly recycling devices (such as our Global Take Back Service), they could face negative feedback and lose business as a result of poor brand image. With these factors in mind, it’s clear that businesses must consider building a sustainable AI framework that supports operational efficiency, encouraging business growth.

Prioritising the implementation of technologies that limit energy consumption can be a huge help when it comes to ensuring regulatory compliance and the ability to meet greater sustainability goals. These also come with the ability to help organisations to future-proof against market instability with reduced reliance on energy along with strengthening brand reputation in an increasingly environmentally-conscious world.

This is within easy reach for many businesses as there is a large number of offerings in the market that can balance sustainability efforts, with high processing capabilities. At ASUS we have partnered with Intel to provide servers that prioritise energy efficiency. There is so much available to businesses today if they choose to take the initial step and consider a strategy to implement technologies which balance regulatory pressures, customer expectations, and overall business goals will help organisations to feel confident innovation won’t come at a cost to the environment.

IDC has raised this with its audience, recently releasing predictions on the technology industry which outlined; “To address the environmental challenges of harnessing AI’s benefits, enterprises are turning to Sustainable AI Frameworks that focus on minimising the environmental impact of artificial intelligence by addressing key elements such as energy efficiency, resource optimisation, and e-waste reduction.”

As AI innovation continues to grow, alongside market pressure, businesses will find it becomes clear which organisations within the market are able to cope, and which will be left behind. Ultimately, those who choose to embed sustainability into AI strategies will lead the way.

(Photo by Angela Benito)

See also: French initiative for responsible AI leaders

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Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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可持续AI 能源效率 电子垃圾 企业责任
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