Remove Artificial Intelligence Remove Big Data Analytics Remove Data Engineering
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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Artificial intelligence is evolving rapidly, reshaping industries from healthcare to finance, and even creative arts. Thats exactly what AI & Big Data Expo 2025 delivers! Enterprise AI & Automation Explore AI-powered business solutions, from intelligent chatbots to AI-driven cybersecurity and workflow automation.

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Most Common Use Cases of Data Engineering in Healthcare

phData

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. Thus, using data engineering is a must in 2023 for hospitals.

professionals

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State of Machine Learning Survey Results Part One

ODSC - Open Data Science

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Lastly, data engineering is popular as the engineering side of AI is needed to make the most out of data, such as collection, cleaning, extracting, and so on.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Rajesh Nedunuri is a Senior Data Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team. He specializes in designing, building, and optimizing large-scale data solutions.

AWS 129
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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Artificial Intelligence : Concepts of AI include neural networks, natural language processing (NLP), and reinforcement learning.

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Showcasing the ODSC Europe 2024 Schedule Overview

ODSC - Open Data Science

To help our data scientists, data engineers, AI practitioners and data professionals of all types stay at the forefront of their fields, this day will be dedicated to hands-on training and workshops from leading experts. Friday, September 6th The final day of ODSC Europe will start strong with Keynote talks.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning Blog

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

AWS 132