Marktechpost

AUGUST 27, 2024

The quantity and quality of data directly impact the efficacy and accuracy of AI models. Getting accurate and pertinent data is one of the biggest challenges in the development of AI. LLMs require current, high-quality internet data to address certain issues. How Does Saldor Work?

Data Extraction 96

Data Extraction Automation AI AI 96

Marktechpost

AUGUST 15, 2024

Improving AI is complicated by data, as the amount of training data required for each new model release has increased significantly. This burden is further worsened by the growing problem of finding useful, compliant data in the open domain. Meet David AI , the artificial intelligence data marketplace.

Artificial Intelligence 62

Artificial Intelligence Artificial Intelligence AI AI 62

IBM Journey to AI blog

JANUARY 25, 2023

Any use of data – such as combining or consolidating datasets from multiple sources – requires a level of understanding of that data beyond the physical formats. Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment.

Linked Data 130

Linked Data Data Quality AI AI 130

Unite.AI

AUGUST 15, 2024

At Tamr, the platform availability of machine learning at scale allows us to disrupt manual rules-based MDM in favor of an AI-based approach. What inspired the development of AI-native Master Data Management (MDM), and how does it differ from traditional MDM solutions? The next challenge is to link records which are duplicates.

Machine Learning 147

Machine Learning Computer Scientist LLM Large Language Models 147

Pickl AI

JUNE 28, 2023

Horizontal Integration Horizontal integration combines data from similar sources or systems across different organizations. For example, integrating customer data from different retail stores under the same company. Entity Integration Entity integration focuses on linking data that relates to the same entities.

Data Mining 52

Data Mining Data Integration ETL Data Quality 52