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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 199
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AI Is Changing Security — 5 Predictions from Cortex

Palo Alto Networks

Our objective is to present different viewpoints and predictions on how artificial intelligence is impacting the current threat landscape, how Palo Alto Networks protects itself and its customers, as well as implications for the future of cybersecurity.

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9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019.

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OtterTune, which taps AI to optimize databases, raises $12M

TechCrunch

In conversations with executives, he was surprised at how much the company was paying administrators to do what he considered to be basic maintenance database tasks. “The database administrators were almost boasting about how much they were getting paid to do trivial things to keep their databases running,” Pavlo said.

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Data engineers vs. data scientists

O'Reilly Media - Data

On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Or will machine learning engineers be the database administrator reborn? At their core, data scientists have a math and statistics background (sometimes physics).

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CIOs take note: Platform engineering teams are the future core of IT orgs

CIO

The core roles in a platform engineering team range from infrastructure engineers, software developers, and DevOps tool engineers, to database administrators, quality assurance, API and security engineers, and product architects.

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Data Summit 2023 Event Recap

Datavail

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. He noted that over the last few years, advances in technology have had a major impact on database administrator roles and responsibilities.