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Lift-and-shift cloud migration – Hear from AWS experts
Lift-and-shift cloud migration – Hear from AWS experts
AWS Solutions Architects discuss success stories in cloud migration
Play NowLift-and-shift cloud migration – Hear from AWS experts
AWS Solutions Architects discuss success stories in cloud migration
Play NowAppian’s Low-Code Platforms – All you need to know
Explore use cases and real-life case studies of Appian’s low-code platform
Play NowHow to make fixed bid projects thrive in Agile environment?
Product Development expert shares tips to make fix bid projects work in agile
Play NowHealthcare data doubles every 3 years and over 80% of this data is in the form of handwritten scribbles, nurse notes, comments from clinicians, payment authorizations etc. Existing automation systems and newer AI and ML models have no way of processing information contained within this data.
Data readiness operations helps caregivers, healthcare administrators, payers, and providers convert and annotate this data into automation and algorithm-ready streams. This allows faster flow of information across multiple systems, faster care provision, better access to past insights, optimized procurements and other benefits across the entire healthcare enterprise.
In short, data readiness ensures that your ML and AI algorithms learn from reliable and relevant data sources and deliver better patient care and operational excellence.
With adaptive maintenance, Excellarate will perform any required modifications to your applications that result from changes to the operating system, software dependencies, hardware, or business policies of a related product, keeping your system up to date with little to no downtime.