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Why AI is key to hiring and retaining developers

CIO

By Bryan Kirschner, Vice President, Strategy at DataStax It’s high time to treat HR as every bit as important to your company’s artificial intelligence strategy as IT. The words of one software engineer illustrate why: “(With Copilot,) I have to think less, and when I have to think it’s the fun stuff.

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Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

TechCrunch

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. They could see that the longer-term issue would be a growing need and priority for data privacy. But humans are not meant to be mined.”

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

Molino, who joined Uber by way of the company’s acquisition of startup Geometric Intelligence, helped to create Ludwig in 2019. Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber. tech company, a large national bank and large U.S.

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

The Citus Data

(on-demand talk, Citus team, foreign keys, distributed PostgreSQL) Postgres without SQL: Natural language queries using GPT-3 & Rust , by Jelte Fennema, senior software engineer on the Citus team at Microsoft. Maps with Django (and PostGIS) , by Paolo Melchiorre the CTO of 20tab. (On-demand

Azure 85
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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

Snehal Kundalkar is the chief technology officer at Valence. The first is that it can be difficult to differentiate machine learning roles from more traditional job profiles (such as data analysts, data engineers and data scientists) because there’s a heavy overlap between descriptions. Contributor.

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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

In today’s fast-developing digital age, the technology industry has emerged as a key factor in national and international economies. Despite all the tech innovations, one thing hasn’t altered: the persistent gender gap and inequity regarding women in software engineering.