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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

Modern methods of software development take a more systematic approach to testing, in accordance with the IBM Rational Unified Process (RUP). It is performed by viewing documentation (including source code) and static analysis. Along with testing, it is also necessary to create a reference section and a user manual.

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Here’s How Blockchain Can Change Bancassurance

Smart Data Collective

move within the insurance and banking chain through documents and forms. The higher the number of hands these documents are passed through, along with the number of alterations made, the higher the odds of human-related error. This means that names, dates, addresses, social security numbers, health information, etc.

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

And that is only possible when common mistakes while implementing predictive analytics are avoided. To make your job easier, create a document that specifies your project’s inputs and deliverables, and then double-check your resource and format criteria related to the description of your predictive analytics project.

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Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Collaborate with Data Engineers Data Engineers play a vital role in building and maintaining data warehouses. Data Governance Ensure that data in the warehouse is governed and properly documented. What is Data Warehousing?

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Half Agile Isn’t Real Transformation

Leading Agile

The latter provides a nice-looking and usable interface to the “real” systems in the back-end, to provide read and write access to customers’ data via their smart devices, and to print materials to be mailed out, such as account summaries, late payment notices, and documentation required by regulatory bodies. HP NonStop?

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Health Data Management | Challenges and Best Practices

Astera

Health Data Management , also known as clinical data management and health information management, refers to the management of medical data stored in a digital format as Electronic Health/Medical Records (EHR/EMR). What is Health Data Management ? Is your healthcare organization looking for a data management solution?

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Legacy System: Definition, Challenges, Types & Modernization

Astera

Despite their critical functions, these systems also lead to increased maintenance costs, security vulnerabilities, and limited scalability. A legacy system refers to an outdated computer system, software, or technology still in use within an organization despite the availability of newer alternatives. What is a Legacy System?