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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT. l Improved Risk Management.

IoT 132
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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions. According to a recent forecast by Grand View Research, the global serverless computing market is expected to reach a staggering $21.4 billion by 2025.

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Examples and uses of GIS

IBM Big Data Hub

Weather forecasting As extreme weather events increase in intensity and frequency across the globe, planning and preparing for them is crucial for governments and organizations alike. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. How can advanced analytics be used to improve the accuracy of forecasting? Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250
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5G use cases that are transforming the world

IBM Big Data Hub

From driverless cars to smarter cities, farms, and even shopping experiences, the latest standard in wireless networks is poised to transform the way we interact with information, devices and each other. In the tech world and beyond, new 5G applications are being discovered every day. What is 5G? How does 5G work?

IoT 109
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Conversational AI use cases for enterprises

IBM Big Data Hub

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. These technologies enable systems to interact, learn from interactions, adapt and become more efficient. billion by 2030.

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PepsiCo transforms for the digital era

CIO Business Intelligence

PepsiCo’s migration to the cloud has paid off in in many ways, Kanioura says — in speed, flexibility, and agility, reducing on-demand forecasting from weeks to days or hours, and in feeding its supply chain more accurately and frequently. “We We expect within the next three years, the majority of our applications will be moved to the cloud.”