Defined.ai blog

AUGUST 10, 2023

For example, if your AI model were designed to predict future sales based on past data, the output would likely be a predictive score. This score represents the predicted sales, and its accuracy would depend on the data quality and the AI model’s efficiency. Maintaining data quality.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network AI 52

Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. Data Quality and Availability The performance of ANNs heavily relies on the quality and quantity of the training data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

IBM Journey to AI blog

OCTOBER 12, 2023

A single point of entry eliminates the need to duplicate sensitive data for various purposes or move critical data to a less secure (and possibly non-compliant) environment. Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks.

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253

ODSC - Open Data Science

FEBRUARY 24, 2023

Data Quality Now that you’ve learned more about your data and cleaned it up, it’s time to ensure the quality of your data is up to par. With these data exploration tools, you can determine if your data is accurate, consistent, and reliable.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Bugra Akyildiz

MAY 25, 2024

Automated Query Optimization: By understanding the underlying data schemas and query patterns, ChatGPT could automatically optimize queries for better performance, indexing recommendations, or distributed execution across multiple data sources. Structured format to track data coming in and out of DB.

ChatGPT 59

ChatGPT Machine Learning OpenAI Data Analysis 59