Artificial Intelligence (AI) Insights
Understanding Your Business Needs Before Building AI
Use an Agile Approach to Define Business Needs & Develop an Effective ML Strategy ...
Innovation in Public Health, Education, and Security at the AWS Summit
Through our partnership with AWS, we attended the AWS Summit in Washington, DC. In the...
Using a Lean Canvas to Refine AI Solutions
To build valuable artificial intelligence/machine learning (AI/ML) solutions, it is essential to have a clear...
ML Model Security – Preventing The 6 Most Common Attacks
Security is an essential part of any machine learning (ML) model, especially when it comes...
Is Agile for AI Possible? Yes.
Many people think that Agile approaches don’t work for AI efforts; that there is a...
MLOps: Your Guide To Sustainable Solutions At Scale
The demand for AI continues to increase across private and public organizations and sectors. Bloomberg...
Why Government Agencies Need to Incorporate Explainable AI in 2021
Consumers want reassurance about ethical use and fairness related to AI. In a world fueled...
NIST’s Four Principles for Explainable ArtificiaI Intelligence (XAI)
The National Institute of Standards and Technology (NIST) recently proposed four principles for explainable artificial...
Using AI to Enhance Disaster Relief with an Eye in the Sky
Last fall, Excella participated in the Department of Defense’s (DoD) Eye in the Sky Challenge....
Teaching Machines: What is Machine Learning?
Artificial Intelligence (AI) and machine learning have generated a lot of discussion and a lot...
What Skills Do You Need on an AI Project?
The Basics If you are starting an Artificial Intelligence (AI) initiative, one of the first things you need...
Haunted by Data Quality Issues? Call DataOps!
October is here and with it comes jack-o-lanterns, skeletons, witches, and yes…bad data. There are many...