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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

These efforts often go hand in hand with broader corporate sustainability initiatives and can lead to significant cost savings and improved environmental performance. Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming.

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How Graph Analytics is Helping Improve Personalized Healthcare

CIO Business Intelligence

When the world’s largest healthcare company by revenue went looking for a technology solution that could improve quality of care while reducing costs, the search took ten years. A testament to its potential, the market for graph technology is projected to reach $11.25B by 2030. [1] 1] Graph technology isn’t new. IT Leadership.

Analytics 102
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

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. These models also help estimate where carbon is stored, how long it will take to degrade, and more.

IoT 84
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From Bolts to Bots: How AI Is Fortifying the Automotive Industry

Smart Data Collective

billion on AI by 2030. There are a lot of benefits of utilizing AI technology in the automotive sector. Many companies are using AI to create more energy efficient and cost-effective vehicles. Although there are many benefits of embedding AI in these cars, one of the biggest selling points is that it makes vehicles safer.

IoT 108
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

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How AI is Transforming Cybersecurity in 2021?

Smart Data Collective

As far as the importance of AI in cybersecurity is concerned, it enables cybersecurity professionals in detecting and resolving numerous security risks residing in corporate networks of different organizations proactively. Besides, Artificial Intelligence (AI) will replace the need for human beings in cybersecurity by the end of 2030.

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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. This dependency poses the risks of increased costs, time and effort, and project delays. It enables the learner to understand building information modeling (BIM) software.