Remove 2030 Remove Big Data Remove Internet of Things Remove IoT
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). trillion by 2030. One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!”

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 78
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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

Over the years, the Internet of Things (IoT) has evolved into something much greater: the Economy of Things (EoT). The number of connected things surpassed the number of connected humans for the first time in 2022. These IoT connected devices form a critical backbone of data for industry.

IoT 51
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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use.

IoT 96
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Instead of seeing things as disposable, it encourages the reuse and recycling of products. trillion in economic benefits by 2030. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024. Research expects that transitioning to a circular economy could generate USD 4.5

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

through 2030. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. equipment, machinery and infrastructure).

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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.