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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.

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Beware the Data Deluge: Modernize Your Database Now

Datavail

The Future of Data. The size of the world’s data stores is growing exponentially. By 2025, experts predict the global volume of information will reach 175 zettabytes (a ‘1’ followed by 21 zeros). As the technology evolves, so will the attributes of VR, which will release again, multitudes of data streams.

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Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. Technology such as Big Data, IoT, Web 3.0, AR/VR, and PaaS/SaaS contribute to digital transformation. Rapid diagnosis and treatment result in high levels of patient satisfaction and patient data retention.

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Custom mHealth App Development: The Ultimate Guide for Businesses.

Openxcell

In a survey by Statista, the market size of mobile healthcare or mHealth applications is estimated to be worth 257 billion dollars by 2025. These applications also offer data on diagnostics, patient outcomes, therapy variations, and hitherto unheard-of insights. AR/VR Another marked trend in healthcare mobile applications is AR and VR.

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Property Management Technology Trends 2021

Trigent

billion 1 by 2025, while the global property management market size in 2020 was $ 13.88 A more connected, data-driven world with AR, VR, AI, Machine Learning, and Big Data. AI in tandem with machine learning and big data is doing the necessary digital footwork for property managers.

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AI at the Edge Ushers in the Hyperconnected Era

d2iq

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

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Digital Transformation: A Comprehensive Guide for any Business

OTS Solutions

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.