Remove Auto-classification Remove Responsible AI Remove Software Development
article thumbnail

Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsible AI development with human oversight and transparency.

article thumbnail

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Use case and model governance plays a crucial role in implementing responsible AI and helps with the reliability, fairness, compliance, and risk management of ML models across use cases in the organization. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

ML 90
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. of all code comes from suggestions generated by the model, reducing coding iteration time for these developers by 6%. Let’s get started!

article thumbnail

Announcing New Tools for Building with Generative AI on AWS

Flipboard

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.