Unite.AI

DECEMBER 27, 2024

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. That fuel is dataand not just any data, but high-quality, purpose-built, and meticulously curated datasets. Data-centric AI flips the traditional script.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

AI 189

AI AI Data Integration Generative AI 189

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. Here’s what’s involved in making that happen.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

The MLOps Blog

JUNE 27, 2023

Data storage and versioning You need data storage and versioning tools to maintain data integrity, enable collaboration, facilitate the reproducibility of experiments and analyses, and ensure accurate ML model development and deployment. Easy collaboration, annotator management, and QA workflows.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Defined.ai blog

AUGUST 10, 2023

It can quickly process large amounts of data, precisely identifying patterns and insights humans might overlook. Businesses can transform raw numbers into actionable insights by applying AI. For instance, an AI model can predict future sales based on past data, helping businesses plan better.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Data Quality 52

DataRobot Blog

MARCH 15, 2022

The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. AI systems need to be built to be humble and—when there is doubt—transfer the decision-making to humans.

Explainability 52

Explainability AI AI Explainable AI 52

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025.

Explainable AI 52

Explainable AI Explainability ETL Automation 52