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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. Foundation models offer a breakthrough in AI capabilities to enable scalable and efficient deployment across various domains.

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

ODSC - Open Data Science

A published author on AI and large language models, she shares her expertise through insightful articles and technical writing. Cal Al-Dhubaib, Head of AI and Data Science atFurther Cal Al-Dhubaib is a leading voice in responsible AI, specializing in high-risk sectors like healthcare, energy, and defense.

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Evolving Trends in Data Science: Insights from ODSC Conference Sessions from 2015 to 2024

ODSC - Open Data Science

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices. Fifth, we’ll showcase various generative AI use cases across industries. And finally, get ready for the AWS DeepRacer League as it takes it final celebratory lap.

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6 hard truths CEOs must confront in the generative AI era

IBM Journey to AI blog

Clearly explaining how generative AI will protect and process customer data can foster engagement, loyalty and trust as customers get more comfortable with generative AI.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

Using Amazon Bedrock allows for iteration of the solution using knowledge bases for simple storage and access of call transcripts as well as guardrails for building responsible AI applications.