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What you need to know about IoT in enterprise and education

CIO

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.

IoT 342
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Industrial IoT startup Litmus Automation bags new cash to grow its product

TechCrunch

In recent years, a cottage industry has sprung up around the industrial internet of things (IoT) landscape — and the data generated by it. Despite the crowdedness in the industrial IoT sector, Vatsal Shah argues that there’s room for one more competitor. This is something Litmus specializes in.”

IoT 202
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Baldor’s first-ever CIO sets the transformation agenda

CIO

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. Equipping the fleet with advanced IoT sensors and tracking devices will improve customer engagement time and reduce food waste, Parameswaran says.

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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? IoT adoption has ever since become inevitable.

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IoT analytics guide: What to expect from Internet of Things data

CTOvision

Read Bob Violino explain how companies will face challenges like data capture, data governance, and availability of services while creating an IoT analytics environment on Network World : The growth of the Internet of Things (IoT) is having a big impact on lots of areas within enterprise IT, and data analytics is one of them.

IoT 81
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Innovative data integration in 2024: Pioneering the future of data integration

CIO

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

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8 data strategy mistakes to avoid

CIO

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Neglecting the enterprise mission Creating a data strategy without taking into account the organization’s overall business goals is a recipe for failure. It will not be something they can ignore.

Strategy 340