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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning Blog

By moving our core infrastructure to Amazon Q, we no longer needed to choose a large language model (LLM) and optimize our use of it, manage Amazon Bedrock agents, a vector database and semantic search implementation, or custom pipelines for data ingestion and management. Jonathan Garcia is a Sr.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

Therefore, when the Principal team started tackling this project, they knew that ensuring the highest standard of data security such as regulatory compliance, data privacy, and data quality would be a non-negotiable, key requirement. He has 20 years of enterprise software development experience.

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Level Up Your AI Game with More ODSC West Announced Sessions

ODSC - Open Data Science

In particular, you’ll focus on tabular (or structured) synthetic data and the privacy-preserving benefits of working with synthetic data. You’ll even get hands-on with the open-source tool (DataLLM) and create tabular synthetic data yourselves. Gen AI in Software Development. What should you be looking for?

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

Version control for code is common in software development, and the problem is mostly solved. However, machine learning needs more because so many things can change, from the data to the code to the model parameters and other metadata. They’d likely need additional labels to compensate for those data quality issues.