Fiddler Introduces End-to-End Workflow for Robust Generative AI. Read blog
Learn how human-centric approach to designing better frameworks and training to fully utilize the potential of explainable tools.
Krishna Gade, Founder & CEO of Fiddler, discusses how companies can address potential bias and other challenges in their AI.
Learn about FairCanary, a novel approach to generating feature-level bias explanations that is an order of magnitude faster than previous methods.
Léa Genuit, a senior machine learning engineer at Fiddler AI, presents at the ML Fairness Summit on intersectional group fairness using worst-case comparisons.
Learn why fairness metrics need to incorporate intersectionality, including a simple method to expand the definitions of existing group fairness.
Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.
Watch this on-demand webinar to understand the White House's recently released AI Bill of Rights.
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Accelerate time-to-value, minimize risk, and improve predictions
Detect model drift, assess performance and integrity, and set alerts
Operationalize the entire ML workflow with trusted model outcomes
Know the why and the how behind your AI solutions
Build trustworthy AI solutions
Operationalize LLMOps for generative AI at scale
Build transparent, accountable, ethical, and reliable AI
The real-world value of MPM for AI and ML solutions