AI News

SEPTEMBER 27, 2024

First is clear alignment of the data strategy with the business goals, making sure the technology teams are working on what matters the most to the business. Second, is data quality and accessibility, the quality of the data is critical. Poor data quality will lead to inaccurate insights.

AI Strategy 304

AI Strategy Automation Data Quality Big Data 304

IBM Journey to AI blog

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. What is an AI strategy?

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

TheSequence

DECEMBER 3, 2023

📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. Bedrock has emerged as the cornerstone of AWS's generative AI strategy, now supporting Anthropic’s Claude 2.1

AI Strategy 110

AI Strategy Generative AI DevOps Data Quality 110

Unite.AI

FEBRUARY 21, 2025

Akeneos Product Cloud solution has PIM, syndication, and supplier data manager capabilities, which allows retailers to have all their product data in one spot. What AI-driven personalization strategies can brands implement to enhance customer experiences?

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AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.

Machine Learning 133

Machine Learning DevOps Data Scientist Data Quality 133

IBM Journey to AI blog

AUGUST 12, 2024

LLMs in comparison with traditional ML models Unlike traditional machine learning models, which often require extensive feature engineering and domain-specific adjustments, LLMs can generalize from vast datasets without the need for such tailored configurations. This makes them versatile and highly adaptable across different use cases.

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Automation Generative AI AI AI 159

ODSC - Open Data Science

FEBRUARY 28, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery.

Data Science 96

Data Science Auto-complete Machine Learning AI 96