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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

In 2024, sustainability is taking center stage. These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance. Instead of seeing things as disposable, it encourages the reuse and recycling of products.

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The most important AI trends in 2024

IBM Big Data Hub

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. The most immediate benefit of multimodal AI is more intuitive, versatile AI applications and virtual assistants.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

With 2024 on track to be the hottest year on record , data and AI can be applied to many areas to help supercharge sustainability efforts. We use to collect data from 6,500+ utility bills we receive globally each year and summarize total energy consumption, cost, and renewable electricity purchases across to save many hours of calculations.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

Cloud computing enables organizations to use infrastructure and applications over the internet without installing and maintaining them on-premises or in-house. By implementing a PaaS platform, an organization can avoid the cost, complexity and inflexibility of building and maintaining an on-premises platform.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

To reap the benefits, organizations need to modernize with a decentralized data strategy that delivers the speed and flexibility necessary for driving smarter outcomes for the business. The concept of the edge is not new, but its role in driving data-first business is just now emerging. That’s the promise of edge computing.”.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.