High-quality data is crucial for nearly everything, especially for Artificial Intelligence and Machine Learning.
Our latest advancement, Data Quality for AI: A Roadmap, is designed to assist you and your organization in addressing data quality issues, paving the way for a successful future in AI.
Data Quality for Artificial Intelligence: A Roadmap
Data Quality is now the number one factor limiting success with AI. DQS is pleased to offer our new Data Quality for Artificial Intelligence Roadmap.
A bespoke yet structured advisory service that embraces data quality as a management, not technology, problem.
Our service aims to help you enjoy some early success. As time goes on, we’ll shift to help you build the larger program you need to support the entire company.
Our focus is on management. This roadmap encompasses four mutually reinforcing components:
Foundations: What you need to know about data quality in general and for AI in particular
Data quality for AI projects: Requirements, how to evaluate where you stand and close gaps.
Organizational capabilities: We will teach you how to develop the human and organizational capabilities needed for AI
Provocateurs: Special assistance for those few true agents of change.
Our service aims to help you enjoy some early success. As time goes on, we’ll shift to help you build the larger program you need to support the entire company.
You will surely need some technology, but if you don’t get the organization stuff right, they won’t help.
It’s not just us ! Check out what others are saying…..
Forrester-February 2024 “Data Quality is Now the Primary Factor Limiting GenAI Adoption”
The Economist-June 2020- “For AI Data Are Harder to Come By Than You Think”
The Economist-June 2024- “AI Will Exhaust Most of the Internets Data Sets”
Google Research-2021- “Everyone Wants To Do the Model Work, No One Wants To Do the Data Work”
NY Times Magazine-July 2023- “Wikipedia’s Moment of Truth”
J Betker-The IT in AI Models is the Data Set
Here is why you and your company need us for AI.
We have been talking about this for a long time. Are most popular AI related articles
“If Your Data is Bad Your Machine Learning Tools Are Useless” Harvard Business Review, April 2018
“Ensure High Quality Data Powers Your AI” Harvard Business Review, August 2024.
“Can Your Data Be Trusted?” Harvard Business Review, October 2015
“What Managers Should Ask About AI Models and Data Sets” MIT Sloan Management Review, December 2023
“What Does It Actually Take to Build a Data Driven Culture?” Harvard Business Review, May 2023