Generative Data Intelligence

Tag: business analysts

Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI | Amazon Web Services

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. Until recently, building and deploying ML models...

Empower your business users to extract insights from company documents using Amazon SageMaker Canvas and Generative AI | Amazon Web Services

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. Until recently, building and deploying ML models...

AI and Generating Alpha in Real Time with aisot – Finovate

Is there a subsector of fintech that is more eager to adopt AI than the world of investing and asset management? From the...

New – No-code generative AI capabilities now available in Amazon SageMaker Canvas | Amazon Web Services

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning...

Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis models | Amazon Web Services

According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. Customers provide feedback and reviews about products they have...

Create an HCLS document summarization application with Falcon using Amazon SageMaker JumpStart | Amazon Web Services

Healthcare and life sciences (HCLS) customers are adopting generative AI as a tool to get more from their data. Use cases include document summarization...

Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs | Amazon Web Services

We’re excited to announce that Amazon SageMaker Canvas now offers a quicker and more user-friendly way to create machine learning models for time-series forecasting. SageMaker Canvas is...

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models | Amazon Web Services

In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new...

Announcing New Tools to Help Every Business Embrace Generative AI | Amazon Web Services

From startups to enterprises, organizations of all sizes are getting started with generative AI. They want to capitalize on generative AI and translate the...

Train and deploy ML models in a multicloud environment using Amazon SageMaker | Amazon Web Services

As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations...

Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web...

Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE)...

Generative AI to augment 11 million jobs in the US by 2030

Generative AI will replace 2.4 million US jobs by 2030, and influence another eleven million, but other forms of automation will cost more jobs,...

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