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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 329
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What is Oracle’s generative AI strategy?

CIO

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO

His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was born as a series of print buying guides in 1966 and began making its data available via CD-ROM in the 1990s.

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AI in the Cloud: What Are The Go-To Options?

Exadel

If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Amazon For Cloud Artificial Intelligence Amazon began by making storage and virtual machines. Azure Machine Learning lets you accelerate and manage ML-based projects.

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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand . :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 85
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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

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How to Hire AI Developers?

Existek

With the major progress in all sub-domains of artificial intelligence, the demand for AI developers has tremendously increased. And the main focus remains on implementing and integrating artificial intelligence into the project deliverables.