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Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3

AWS Machine Learning Blog

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Data must reside in Amazon S3 in an AWS Region supported by the service.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. and Pandas or Apache Spark DataFrames.

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Monitoring Machine Learning Models in Production

Heartbeat

Model Performance Monitoring includes measuring the model’s accuracy and other performance metrics over time. Feedback Monitoring gathers feedback from users and stakeholders to ensure the model meets their needs and expectations. This article will cover the challenges you can face with Machine Learning models in production.

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights. Alation’s deep data profiling helps data scientists and analysts get important data profiling insights. In Summary.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” What can get less attention is the foundational element of what makes AI and ML shine. That’s data.

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Capital One’s data-centric solutions to banking business challenges

Snorkel AI

Piyush Puri: Please join me in welcoming to the stage our next speakers who are here to talk about data-centric AI at Capital One, the amazing team who may or may not have coined the term, “what’s in your wallet.” What can get less attention is the foundational element of what makes AI and ML shine. That’s data.

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How and When to Use Dataflows in Power BI

phData

Attach a Common Data Model Folder (preview) When you create a Dataflow from a CDM folder, you can establish a connection to a table authored in the Common Data Model (CDM) format by another application. We suggest prioritizing efficiency in your model designs by ensuring query folding whenever it is feasible.