Smart Data Collective

SEPTEMBER 16, 2020

These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

Predictive Analytics 349

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 349

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

Domo

MARCH 17, 2017

Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.

Artificial Intelligence 52

Artificial Intelligence Master Data Management Government Big Data 52

Argon Digital

OCTOBER 24, 2023

From budgeting, expense tracking, and account reconciliation, to risk management and compliance reporting, nearly every financial process can be automated to some degree. This capability is particularly impactful in financial environments bustling with large volumes of complex data.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Marutitech

DECEMBER 17, 2021

It can learn about the filters and characteristics of the image, unlike the primitive data analytics model trained enough with these filters. . The architecture of the CNN model is inspired by the visual cortex of the human brain. As a result, it is quite similar to the pattern of neurons connected in the human brain.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. It utilizes artificial intelligence to analyze and understand textual data. Can handle large volumes of data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 28, 2023

For example, a financial services company can significantly optimize the performance of its ETL pipelines by using the incremental loading technique to process the daily transactions’ data. Automate the Process Once your ETL pipeline is created, you can automate it to streamline company-wide data integration.

Data Warehouse 52

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