IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Data Platform 204

Data Platform Data Mining AI AI 204

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. A data lake and a data warehouse are integrated into the Lakehouse Platform.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Artificial Corner

JUNE 6, 2023

The advent of relational databases and data warehouses in the 1970s and 1980s set the stage for the next wave of advancements in data engineering, including the development of data mining techniques, the rise of big data, and the evolution of data storage and processing technologies.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

JUNE 11, 2024

Let’s explore some key features and capabilities that empower data warehouses to transform raw data into actionable intelligence: Historical Data Integration Imagine having a single, unified platform that consolidates data from all corners of your organization – sales figures, customer interactions, marketing campaigns, and more.

ETL 52

ETL Data Mining Data Integration Actionable Intelligence 52