Remove 2030 Remove Data Collection 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.

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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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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. Marketing and sales: Conversational AI has become an invaluable tool for data collection. It assists customers and gathers crucial customer data during interactions to convert potential customers into active ones.

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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.