Marktechpost

APRIL 19, 2024

The platform’s distinctive and adaptable design makes connecting and organizing data across any cloud storage option possible. As a result, data silos are eliminated and procedures are streamlined. Key Features When it comes to artificial intelligence, old-fashioned data management technologies can’t keep up.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence Data Discovery Automation 108

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

ODSC - Open Data Science

JULY 20, 2023

According to reports from the Wall Street Journal, the goal is to provide IBM with “greater automation capabilities.” For those unaware, Apptio is a provider of automated software cost management and other hybrid-IT tools. These moves signal to some that IBM is going in deep with automation. Customer Support Startup Cohere.io

Machine Learning 52

Machine Learning Automation Neural Network AI 52

IBM Journey to AI blog

MAY 9, 2023

Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] What is watsonx.data?

Data Platform 202

Data Platform Business Intelligence AI AI 202

Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. The processors that make up the data flows can be customized by the user.

ETL 52

ETL Data Integration Business Intelligence Automation 52

IBM Journey to AI blog

AUGUST 3, 2023

The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary. It’s both a data security and privacy issue.

Natural Language Processing 158

Natural Language Processing Data Discovery Automation Big Data 158