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Excella Innovators: Taylor Bird

Meet Taylor Bird, Lead Consultant, Data Scientist, and Xpert candidate at Excella. We sat down...

AI Ethics, Explainable AI, XAI

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...

Agile, Artificial Intelligence, Business Analysis, Machine Learning

Understanding Your Business Needs Before Building AI

Use an Agile Approach to Define Business Needs & Develop an Effective ML Strategy  ...

ai security, AWS, AWS Summit, Cloud, healthcare ai, legacy system

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...

Agile for AI development, AI framework refinement loop, AI lean canvas, AI solutions, Benefits of AI framework, Lean canvas

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...

AI, Machine Learning, machine learning operations, ML at scale, ML solutions, mlops

MLOps: Your Guide To Sustainable Solutions At Scale

The demand for AI continues to increase across private and public organizations and sectors. Bloomberg...

Artificial Intelligence, Explainable AI

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...

Artificial Intelligence

NIST’s Four Principles for Explainable ArtificiaI Intelligence (XAI)

The National Institute of Standards and Technology (NIST) recently proposed four principles for explainable artificial...

Agile, Artificial Intelligence, DevOps

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....

Artificial Intelligence, Consulting, Machine Learning

Teaching Machines: What is Machine Learning?

Artificial Intelligence (AI) and machine learning have generated a lot of discussion and a lot...