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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Clinics that use cutting-edge technology will continue to thrive as intelligent systems evolve. At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. On-Demand Computing.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names.

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Custom mHealth App Development: The Ultimate Guide for Businesses.

Openxcell

Most healthcare organizations are providing remote care, better patient care, and record-keeping with the help of healthcare software and applications integrated into operational systems. Big Data The healthcare industry is one of the biggest collectors of data which is essential for progress and innovation in the medicare industry.

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Thwarting Cybercrime with Infinidat

Infinidat

The fact of the matter is that the problem is broad and we can create more secure internets and intranets by being diligent and aware! You can learn more about ways to help at the National Cyber Alliance Website. Enterprises need to make sure they are securing their storage systems and especially their data, both at rest and in-motion.

Storage 72
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Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

Based on a Deloitte survey , 92% of healthcare professionals and institutions have seen performance improvements due to digital transformation. 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,

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Report: RegTech for Banking and Financial Services in 2023

Exadel

The amount of data which banks needed to process was huge and hard to track manually. RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. AI solutions operate with big amounts of data, make predictions and identify patterns.

Banking 52
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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

Li is the co-director of Stanford University’s Human-Centered AI Institute and the Stanford Vision and Learning Lab. Her work in AI and machine learning has profoundly impacted the industry. Her machine learning and computational biology work has revolutionized online education and the pharmaceutical industry.