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AI Is Transforming Real-Time Data Governance | Simplilearn

Simplilearn

As consumers become more aware of their data rights, data governance is becoming more and more relevant. While targeting their objectives, their use of data must be efficient and effective. In this way, data govern. Read More.

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As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater

Dataversity

Data privacy is essential for any business, but it is especially important at a time when consumers are taking notice and new regulations are being deployed. […]. The post As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater appeared first on DATAVERSITY.

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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated […].

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Improving Healthcare Data Governance and Integration with Astera

Astera

This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details. According to RBC, the digital universe of healthcare data is expected to increase at a compound annual growth rate of 36% by 2025.

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Enabling Agility with Real-Time Data

Actian

Historical reports and batch data from last night or last week don’t provide leaders with the information and actionable insights they need to lead the company effectively – they need real-time data (and plenty of it!). Agility requires real-time data. What it means to be agile.

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Driving Government Efficiency: How Automated Bank Statement Data Extraction Saves 70% of Cost 

Astera

Technological advancements have paved the way for groundbreaking solutions that aid government agencies in enhancing operational efficiency and maximizing taxpayer value. One such innovation that has caught the attention of government bodies worldwide is automated bank statement data extraction.

Banking 40
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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.