Artificial Intelligence (AI) Insights
When (and Why) AI Needs a Human in the Loop
In the past five years, artificial intelligence (AI) adoption has more than doubled, fueled in part...
How to Deliver Impactful Software with Doguhan Uluca and Keith Mealo
In case you missed it, Excella Principal Fellow, Doguhan Uluca, and Senior Engagement Manager, Keith...
Excella Innovators: Taylor Bird
Meet Taylor Bird, Lead Consultant, Data Scientist, and Xpert candidate at Excella. We sat down...
XAI: Explainable AI – What is It & Why is it Important?
Recently, we sat down with John Gilroy with Federal Tech Talk to talk about an...
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...