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Disconnected Location Data? Here’s How to Fix That

Precisely

To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.

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How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights

AWS Machine Learning Blog

Architecture layers The architecture consists of the following layers: Data acquisition layer – This foundation layer features specialized components for social media connectivity across channels like LinkedIn, Twitter, and YouTube, alongside sophisticated web scraping frameworks with rate limiting and randomization capabilities.

AWS
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Disconnected Location Data? Here’s How to Fix That

Precisely

To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.

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Address Data vs. Property Data: What’s the Difference?

Precisely

To drive real AI-powered innovation, you need to deliver location data (and all enterprise data) where it’s needed – quickly, securely, and reliably. A modern integration strategy lets you design pipelines wherever your data resides – whether on-premises, in the cloud, or across hybrid environments.

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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

Many organizations store their data in structured formats within data warehouses and data lakes. Amazon Bedrock Knowledge Bases offers a feature that lets you connect your RAG workflow to structured data stores. The key is to choose a solution that can effectively host your database and compute infrastructure.

AWS
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5 Recent Data Science and AI Webinars You Need to See

ODSC - Open Data Science

Each month, ODSC has a few insightful webinars that touch on a range of issues that are important in the data science world, from use cases of machine learning models, to new techniques/frameworks, and more. So here’s a summary of a few recent webinars that you’ll want to watch. Watch on-demand here.

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Open Data Lakes, Safeguarding Images From AI, Free Data Viz Tools, and 50% Off ODSC East

ODSC - Open Data Science

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake. To DIY you need to: host an API, build a UI, and run or rent a database.