Customers
You’re in good company. Data science and ML teams across industries build responsible AI solutions with Fiddler.
Featured
how.fm reduces time to detect model issues from days to minutes
With Fiddler:
- Agile model development with quick model iterations
- Continuous feedback loop in the ML lifecycle
- Visibility into underlying reasons for model underperformance
Read case study
“Fiddler's explainability capability is a real game changer, giving us a much better understanding of our models. It was the most convincing argument to use Fiddler instead of its competitors.”
Richard Sieg
Lead Data Scientist, how.fm
Lead Data Scientist, how.fm
“Fiddler has greatly reduced the energy barrier to gaining valuable insight on production data. Not only does this provide our team with peace of mind, but we’re equally excited to see how this ‘production-first’ mindset is already informing model improvements in our LTV use cases for more resilient predictions.”
Anthony Anderson
Head of Data Science, Conjura
Head of Data Science, Conjura
Featured resources
Video
Operationalize ML Models at Scale With Fiddler MPM
Fiddler MPM provides data science and MLOps teams with a unified platform to monitor, analyze, explain, and improve machine learning models at scale, and build trust into AI.
Watch product overview video
Blog
ML Model Monitoring Best Practices
ML model monitoring is a must-have tool to ensure optimal model performance. But where should MLOps teams begin?
Read blog
Webinar
AI Explained: A Data Scientist’s Guide to Explainable AI
ML and data science experts discuss the value of XAI for models, how to do XAI right, and why explainability is critical.
Watch on-demand
“Using Fiddler to maintain and improve our ML performance in conjunction with AWS services for reliable scale, means we can flex and react at the speed of business."
Amit Attias
Co-founder and CTO, Bigabid
Co-founder and CTO, Bigabid
