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Attribution Modelling using Data Science and Deep Learning

Data-driven Attribution Modeling

October 20, 2024/in Artificial Intelligence, Business Analytics, Business Intelligence, Data Science, Deep Learning, Machine Learning, Main Category, Use Cases/by Alexander Lammers

Data-driven attribution modelling in marketing is very powerful if based on AI methods like markov chain analytics or deep learning.

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines

The Crucial Intersection of Generative AI and Data Quality: Ensuring Reliable Insights

October 1, 2024/in Artificial Intelligence, Big Data, Business Analytics, Business Intelligence, Data Engineering, Data Science, Deep Learning, Main Category, Tools/by AnalyticsCreator

The Crucial Intersection of Generative AI and Data Quality for Ensuring Reliable Insights in Business Data Analytics.

Looking Ahead: The Future of Data Preparation for Generative AI

August 22, 2024/in Business Analytics, Business Intelligence, Data Engineering, Data Migration, Data Warehousing, Main Category, Sponsoring Partner Posts, Tools/by AnalyticsCreator

AnalyticsCreator is the tool for your data ingestion and readiness for Data Science and Analytics as well as for AI.

CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

May 20, 2024/in Data Engineering, Tool Introduction/by Benjamin Aunkofer

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator.

Kappa vs Lambda Architecture

January 15, 2024/in Data Engineering, Data Warehousing/by Lydia Song

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.