Remove Business Intelligence Remove DevOps Remove Responsible AI
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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

ML 88
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Data Analytics Trend Report 2023 – How to Stay Ahead of the Game

Pickl AI

Ref: [link] Top Data Analytics Trends in 2023 The Pervasiveness of Analytics Across the Business Domains One of the latest trends that is changing the way business operates. The focus would be to synchronize analytics techniques with business operations. Hence, introducing the concept of responsible AI has become significant.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. Collaboration The principles you have learned in this guide are mostly born out of DevOps principles. My Story DevOps Engineers Who they are? Model serving.