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.

Predictive Analytics 319

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 319

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

This is done by translating it into a language, that the system can understand, either manually or through input devices set up to collect structured or unstructured data. Data Processing This stage involves processing data for interpretation using machine learning algorithms, and artificial intelligence algorithms.

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 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. . Most Popular Predictive Analytics Techniques . If you consider business a “number game,” predictive analytics is the best way to play it. .

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Key Features: Interactive Workflow Tool Explore and Graph nodes for visualizing data Automated Model Building features Integration with RWorks with Big Data SQL Pros: Seamless integration with the Oracle Database Enterprise Edition.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

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.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144