Digital Transformation Healthcare Real-time Data 
Smart Data Collective
APRIL 8, 2020
sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.
Astera
APRIL 20, 2023
A Guide to API-Led Digital Transformation in Healthcare The US healthcare industry is grappling with several issues, from surging costs and inefficient management to declining levels of care. The United States spends twice as much per capita on healthcare, yet lags behind other developed nations in patient outcomes.
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BizAcuity
MARCH 1, 2019
Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT, Artificial Intelligence and Healthcare.
GAVS Technology
MAY 27, 2024
By constantly monitoring digital interactions and infrastructure, ZIF Dx+ assists organizations in detecting potential issues before they become significant problems. For example, by analyzing real-time data, companies can detect performance bottlenecks, security vulnerabilities, or compliance issues.
Fingent
APRIL 7, 2022
Until the introduction of modern data analytics technologies, insurers used to make decisions based on the insights garnered from historical data. The post Digital Twin in Insurance: Improving Predictability and Risk Management appeared first on Fingent Technology.
Data Pine
MARCH 11, 2020
As digital transformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. That way businesses remain responsive and adaptable in an ever-changing digital environment. a) IT project management dashboard.
Astera
DECEMBER 10, 2024
Enterprises and organizations in the healthcare, financial services, logistics, and retail sectors deal with thousands of invoices daily. Manually processing invoices requires a lot of time, effort, and resources, and considering the organizations fiscal health depends on it, why trust it to spreadsheets and papers?
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