Remove Artificial Intelligence Remove Database Administration Remove Machine Learning
article thumbnail

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. The need for machine learning engineers. Their title is machine learning engineer. Diagram showing where a machine learning engineer fits with a data scientist and data engineer.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

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.

article thumbnail

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.

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. relational database,” “Oracle database solutions,” “Hive,” “database administration,” “data models,” “Spark”—declined in usage, year-over-year, in 2019.

article thumbnail

Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock

AWS Machine Learning - AI

In this post, we explore a solution that uses generative artificial intelligence (AI) to generate a SQL query from a user’s question in natural language. He is passionate about migration and modernization, data analytics, resilience, cybersecurity, and machine learning.