Webinars

AI Explained: The Ins and Outs of Foundation Models

AI Explained: The Ins and Outs of Foundation Models

Feb 15, 2023 10:00 AM

AI Explained: The Ins and Outs of Foundation Models

Responsible AI

Use Cases

AI Explained: Challenges and Best Practices for Conversational AI

Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.

AI Explained: Challenges and Best Practices for Conversational AI

Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.

Jan 26, 2023 10:00 AM

AI Explained: Challenges and Best Practices for Conversational AI

Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.

Bias and Fairness

AI Explained: From MLOps Theory to Practice

Join us for AI Explained to learn the comprehensive requirements for the end-to-end MLOps lifecycle and how to prove ROI for your ML initiatives.

AI Explained: From MLOps Theory to Practice

Join us for AI Explained to learn the comprehensive requirements for the end-to-end MLOps lifecycle and how to prove ROI for your ML initiatives.

Dec 13, 2022 10:00 AM

AI Explained: From MLOps Theory to Practice

Join us for AI Explained to learn the comprehensive requirements for the end-to-end MLOps lifecycle and how to prove ROI for your ML initiatives.

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.

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.

Nov 15, 2022 10:00 AM

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.

Explainable AI

Obtain New Insights on Model Behavior with Fiddler

Join MLOps Community and Fiddler to discover how MLOps teams can monitor, explain, and analyze their ML models.

Obtain New Insights on Model Behavior with Fiddler

Join MLOps Community and Fiddler to discover how MLOps teams can monitor, explain, and analyze their ML models.

Obtain New Insights on Model Behavior with Fiddler

Join MLOps Community and Fiddler to discover how MLOps teams can monitor, explain, and analyze their ML models.

Model Performance Management

AI Explained: The AI Bill of Rights

ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.

AI Explained: The AI Bill of Rights

ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.

Oct 14, 2022 10:00 AM

AI Explained: The AI Bill of Rights

ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.

Responsible AI

Bias and Fairness

AI Explained: Unraveling Unstructured Text and Image Models

ML and data science experts discuss how to improve models ingesting unstructured data with model monitoring.

AI Explained: Unraveling Unstructured Text and Image Models

ML and data science experts discuss how to improve models ingesting unstructured data with model monitoring.

Sep 20, 2022 10:00 AM

AI Explained: Unraveling Unstructured Text and Image Models

ML and data science experts discuss how to improve models ingesting unstructured data with model monitoring.

The New Fiddler for Unstructured Models and Advanced XAI

Watch this demo-driven webinar to see major updates to the Fiddler MPM platform.

The New Fiddler for Unstructured Models and Advanced XAI

Watch this demo-driven webinar to see major updates to the Fiddler MPM platform.

Aug 16, 2022 10:00 AM

The New Fiddler for Unstructured Models and Advanced XAI

Watch this demo-driven webinar to see major updates to the Fiddler MPM platform.

AI Explained: Rethinking Model Monitoring

ML and data science experts discuss the mess plaguing ML workflows, emerging research around model monitoring, and how to build responsible AI.

AI Explained: Rethinking Model Monitoring

ML and data science experts discuss the mess plaguing ML workflows, emerging research around model monitoring, and how to build responsible AI.

Jul 21, 2022 10:00 AM

AI Explained: Rethinking Model Monitoring

ML and data science experts discuss the mess plaguing ML workflows, emerging research around model monitoring, and how to build responsible AI.

AI Explained: Model Monitoring Best Practices IRL

ML and data science experts discuss model monitoring best practices, why organizations should have it, and how to integrate it into MLOps workflows.

AI Explained: Model Monitoring Best Practices IRL

ML and data science experts discuss model monitoring best practices, why organizations should have it, and how to integrate it into MLOps workflows.

May 24, 2022 10:00 AM

AI Explained: Model Monitoring Best Practices IRL

ML and data science experts discuss model monitoring best practices, why organizations should have it, and how to integrate it into MLOps workflows.

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Model Evaluation in Model Monitoring

Model evaluation is a critical element of the MLOps lifecycle during training and monitoring. Find out how it works and the most common evaluation methods.

Model Monitoring Tools

With the right processes and model monitoring tools in place, we can work to create more responsible, and impactful AI.

Model Accuracy vs Model Performance

Model accuracy is an important subset of machine learning model performance. Learning how to evaluate it is the first step toward improvement.

Model Monitoring Framework

Discover how machine learning models can steer your business in the wrong direction and what measures you can take to stay on course.

Is accuracy a good measure of model performance?

By itself, model accuracy doesn’t tell the whole story. For better model monitoring, you should also keep an eye on metrics like precision and recall.

Which is more important: model performance or model accuracy?

Model accuracy is an important component of model performance in machine learning, but how exactly do the two relate?

What is the difference between model performance and model accuracy?

Accuracy is just one core classification metric used to assess model performance. Discover how to effectively monitor model performance here.

When Does Model Monitoring Take Place?

Model monitoring should take place during each phase of a machine learning model, from development through retraining.

What is ML model monitoring?

Machine learning models benefit from ongoing monitoring for accuracy, performance, and more.

What is a model monitoring tool?

Your machine learning models can only be as good as the tools used to monitor them. Find out what model monitoring tools are and what features to look for.

How do you check the performance of a model?

Model monitoring is key to an effective and ethical machine learning (ML) model. Find out how it can ensure and demonstrate your models are running as intended.

How do you maintain a deployed model?

If you’re using machine learning models, how do you keep them running smoothly? We give you solutions.

MLOps vs. DevOps

A definition of MLOps vs DevOps and why MLOps is growing in relevance as machine learning gets more common.

How are ML models measured?

What happens when a ML model has innate bias? How do you measure the performance of an ML model in an effort to create more responsible and explainable AI?

How do you implement MLOps?

Model performance management is the key to implementing machine learning operations.

What Is the difference between observability and monitoring?

Model monitoring and data observability practices are an important part of the machine learning lifecycle.

How are machine learning models tested? And where can testing go wrong?

How can developers combat the significant challenges associated with testing ML models? Model performance management is the key.

How can you improve your ML performance?

Poor performance has serious consequences in AI. But a model performance monitoring framework might be the solution.

How do you train and test a model in machine learning and create responsible AI?

Want to eliminate AI bias? It all starts with your ML training and testing process.

What Is MLOps technology?

Discover how MLOps technology can keep your AI working for you—not against you.

What is data observability?

Create and maintain a complete, consistent, timely, valid, and unique data ecosystem with data observability.

What are the main 3 types of ML models?

Machine learning has several models and algorithms that work together to provide you with better data analysis.

What is MLOps and why do we need it?

80% or more of machine learning projects stall before deploying an ML model. Why is this happening and how does this problem get solved?

How do you monitor ML models in production?

Monitoring machine learning models in production helps ensure accuracy and consistent performance