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

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important.

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The impact of AI on edge computing

CIO

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage.

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4 Steps to Reduce IoT Risk in Your Enterprise

Palo Alto Networks

The enterprise internet of things (IoT) is rapidly growing, paving the way for innovative new approaches and services in all industries, such as healthcare and manufacturing. million IoT devices in thousands of physical locations across enterprise IT and healthcare organizations in the United States.

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

Openxcell

One such combination of technologies is Machine Learning in IoT (or Internet of Things) which has surely changed the way we perceive and interact with our surroundings. What is IoT or Internet of Things? As the name suggests, IoT is a technology that connects inanimate objects virtually to perform a variety of tasks at hand.

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P&G turns to AI to create digital manufacturing of the future

CIO

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. These things have not been done at this scale in the manufacturing space to date, he says. Smart manufacturing at scale.

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IoT Trends: How AI/ML and Edge Computing is Influencing the Future of IoT?

Trigent

At its heart, IoT encompasses the collection and analysis of data, insights, and automation of processes involving machines, people, things, and places. IoT is, therefore, a combination of sensors, actuators, connectivity, cloud and edge computing and storage, AI and ML intelligence, and security. 5G Support for IoT. Industry 4.0

IoT 52