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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!”
In healthcare, AI-driven solutions like predictiveanalytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.
What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2029.
through 2030. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictiveanalytics and real-time monitoring. equipment, machinery and infrastructure).
Predictiveanalytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictiveanalytics, enabling models to learn from data, identify patterns and make predictions about future events.
In the energy and utilities sector, sustainability goals, such as Saudi Arabias Vision 2030 and UAEs Net Zero 2050, will drive investment in smart grids, renewable energy, and AI-driven energy efficiency solutions. Healthcare: AI-powered diagnostics, predictiveanalytics, and telemedicine will enhance healthcare accessibility and efficiency.
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