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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.

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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. Model risk : Risk categorization of the model version. Model stage : Stage where the model version is deployed.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Generative AI Trends: Transforming Business and Shaping Future

Chatbots Life

They are followed by marketing and sales (42%), and customer service (40%); 64% expect it to confer a competitive advantage; By 2026, companies focusing on responsible AI could enhance business goal achievement and user acceptance by 50% ; Artificial intelligence disruption may increase global labor productivity by 1.5%-3.0%

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Optimize your machine learning deployments with auto scaling on Amazon SageMaker

AWS Machine Learning Blog

At a high level, these metrics are categorized into three classes: invocation metrics, latency metrics, and utilization metrics. About the Authors Mohan Gandhi is a Senior Software Engineer at AWS. He is currently focused on natural language processing, responsible AI, inference optimization and scaling ML across the enterprise.

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15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

Session 2: Bayesian Analysis of Survey Data: Practical Modeling withPyMC Unlock the power of Bayesian inference for modeling complex categorical data using PyMC. This session takes you from logistic regression to categorical and ordered logistic regression, providing practical, hands-on experience with real-world surveydata.