Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Data Pine

DECEMBER 11, 2019

Of all the developments currently in the pipeline, these 10 SaaS industry trends, in particular, are showing signs of standing out as the most significant in 2020: Artificial intelligence. 1) Artificial Intelligence. Vertical SaaS. The growing need for API connections. Increased thought leadership. Migration to PaaS.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Astera

MAY 9, 2023

It is crucial that the data sources are accurate, dependable and well-built to ensure that the data collected, and the information gathered is of superior quality and functionality. Data Preparation The data collected in the first stage is then prepared and cleaned. Businesses are now relying more on quality data.

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Astera

MARCH 1, 2024

The review process is significantly streamlined by automation, which detects crucial policy terms and cross-references the claimant’s details with external databases, ensuring a comprehensive and accurate review. Claim Verification: The insurer then proceeds to authenticate the claim by collecting additional data.

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Marutitech

DECEMBER 17, 2021

That’s why LSTM RNN is the preferable algorithm for predictive models like time-series or data like audio, video, etc. To understand the working of the RNN model, you’ll need a deep knowledge of “normal” feed-forward neural networks and sequential data. Most Popular Predictive Analytics Techniques .

Predictive Analytics 140

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Astera

SEPTEMBER 28, 2023

Batch Load Batch loading in ETL refers to the practice of processing and loading data in discrete, predefined sets or  batches. Bulk Load A bulk load refers to a data loading method in the ETL process that involv es transferring a large volume of data in a single batch operation.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.

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Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144