Generative Data Intelligence

Tag: data scientists

Bridging Data Science and Engineering for Sustainable Banking Experience

In this article, I am going to explain how bridging the gap between data scientists and engineers may help your company unlock the full...

Developers are calling the shots on AI planning

Reader Poll Results When it comes to rolling out AI systems, developers are still the most important in deciding which to run, but there...

Jamie Dimon’s Chilling Warning: Stickier Inflation, Higher Rates, and Economic Risks

On April 8, financial services giant JPMorgan Chase & Co. (NYSE: JPM) published its 2023 Annual Report, including letters to shareholders from its Chairman...

Jamie Dimon’s Chilling Warning: Stickier Inflation, Higher Rates, and Economic Risks

On April 8, financial services giant JPMorgan Chase & Co. (NYSE: JPM) published its 2023 Annual Report, including letters to shareholders from its Chairman...

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive...

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services

Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering...

Efficient continual pre-training LLMs for financial domains | Amazon Web Services

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on...

5 trends these AI experts think could change payments and commerce

For businesses at the forefront of their industries, artificial intelligence (AI) has...

Unlock the potential of generative AI in industrial operations | Amazon Web Services

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...

In the rush to build AI apps, don’t leave security behind

Feature While in a rush to understand, build, and ship AI products, developers and data scientists are being urged to be mindful of security...

Best practices to build generative AI applications on AWS | Amazon Web Services

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However,...

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