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How AI is Changing the Data Integration ProcessĀ 

Astera

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. The perfect application of this would be in industries such as healthcare, where medical images such as X-rays and MRIs contain important diagnostic information.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

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What is Data Transformation & How Does it Work?

Astera

Data transformation is a process that can help them overcome these challenges by changing the structure and format of raw data to make it more suitable for analysis. This improves data quality and facilitates analysis, enabling them to leverage more effectively in decision making.

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Document Data Extraction 101: Understanding the Basics

Astera

Legal Documents: Contracts, licensing agreements, service-level agreements (SLA), and non-disclosure agreements (NDA) are some of the most common legal documents that businesses extract data from. Healthcare Records: These include medical documents, such as electronic health records (EHR), prescription records, and lab reports, among others.

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. This technique applies across different industries, including healthcare, service, and manufacturing.

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How AI Is Transforming the Future of Business Intelligence and AnalyticsĀ 

Astera

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

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3 data trends that will drive the future of healthcare

Tableau

The past few years have been ones of radical change in the healthcare industry. The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. Molly Brown. Executive Content Manager, Tableau.