Key capabilities and benefits of model performance management
Understand the ‘why’ and ‘how’ behind your models
Build vs Buy
Key considerations for buying an MPM solution
Enterprise-grade security and compliance standards
Optimize ML model deployment and experimentation
Detect model drift, assess performance and integrity, and set alerts
Connect predictions with context to business alignment and value
Mitigate bias and build a responsible AI culture
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Deliver seamless customer experiences
Lending and Trading
Make fair and transparent lending decisions with confidence
Conjura reduces time to detect and resolve model drift from days to hours
Bigabid monitors thousands of models in production
Extend the customer lifetime value
Risk and Compliance
Minimize risk with model governance and ML compliance
Webinar: The New Fiddler for Unstructured Models and Advanced XAI
Class Imbalance: Monitoring Rare and Nuanced Model Drift
AI regulations are here. Are you ready?
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Read the latest blogs, product updates, and company news
Download our latest reports on model monitoring and AI explainability
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Amazon SageMaker + Fiddler
End-to-end model lifecycle management
Our mission and who we are
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Join Fiddler AI to build trustworthy and responsible AI solutions
Fiddler AI is on a16z's inaugural Data50 list of the world's top 50 data startups
Explore recent news and press releases
Blog post from the category:
FairCanary: Rapid Continuous Explainable Fairness
XAI Summit Highlights: Responsible AI in Banking
Where Do We Go from Here? The Case for Explainable AI
Introducing Three New Leaders!
Zillow Offers: A Case for Model Risk Management
Responsible AI Shifts Into High Gear
The key role of Explainable AI in the next decade
Fiddler recognized as a Representative Vendor in the 2021 Gartner® Market Guide
Fiddler Listed As A Sample Vendor for Explainable AI in Two 2021 Gartner® Hype Cycle™ Reports
Responsible AI Podcast with Scott Zoldi — "It's time for AI to grow up"
EU Mandates Explainability and Monitoring in Proposed GDPR of AI
Fiddler x AWS Startup Showcase: Why Model Performance Management is the Next Big Thing in AI
Welcome Hima 🎉
Announcing Series B and general availability of enterprise-ready Fiddler!
How Explainable AI Keeps Decision-Making Algorithms Understandable, Efficient, and Trustworthy - Krishna Gade x Intelligent Automation Radio
Responsible AI Podcast With Anjana Susarla - "The industry is still in a very nascent phase"
Introducing Bias Detector: A New Methodology to Assess Machine Learning Fairness
Building Trust With AI in the Financial Services Industry
Achieving Responsible AI in Finance With Model Performance Management
Fiddler AI Named To Forbes AI 50 List Two Years In A Row!
Introducing All-Purpose Explainable AI
What Should Research & Industry Prioritize to Build the Future of Explainable AI?
Redefining ML Monitoring; Fiddler named to CB Insights AI 100 List
AI Explained: Understanding Bias and Fairness in AI Systems
AI in Finance Panel: Accelerating AI Risk Mitigation with XAI and Continuous Monitoring
The Past, Present, and Future States of Explainable AI
Supporting Responsible AI in Financial Services
A Practical Guide To Adversarial Robustness
Explainable Monitoring for Successful Impact with AI Deployments
How Do We Build Responsible, Ethical AI?
Achieving Responsible AI in Finance
The State of AI Explainability and Monitoring: Market Survey 2020
Turbocharge Sagemaker ML Operations with Monitoring and Explainability from Fiddler
AI in Banking: Rise of the AI Validator
How to Build a Fair AI System
XAI Summit Speaker Spotlight: How Can We Increase Trust in AI?
XAI Summit Speaker Spotlight: What is Responsible AI to you and why is it important?
Fiddler’s 3rd Annual Explainable AI Summit
AI Explained Video Series: The AI Concepts You Need to Understand
Announcing Fiddler’s Latest Suite of ML Monitoring Capabilities Powered by AI Explainability
Fiddler & Captum join hands to enhance explainable AI offerings
Accelerating AI in the time of COVID-19; Fiddler named to Forbes’ AI 50 list
[Video] AI Explained: What are Integrated Gradients?
Explainable Monitoring: Stop flying blind and monitor your AI
Identifying bias when sensitive attribute data is unavailable: Geolocation in Mortgage Data
Identifying bias when sensitive attribute data is unavailable: Exploring Data from the HMDA
AI Explained Video series: What are Shapley Values?
The State of Explainability: Impressions from Partnership on AI (PAI)’s Workshop in NYC
Counterfactual Explanations vs. Attribution based Explanations
The Next Generation of AI: Explainable AI
CIO outlook 2020: Building an explainable AI strategy for your company
Where is AI headed in 2020?
Explainable AI at NeurIPS 2019
The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?
Introducing Fiddler Labs!