Curated articles, resources, tips and trends from the DevOps World.
SYDNEY; SAN FRANCISCO — Feb. 25, 2021 — Appen Limited (ASX:APX), the leading provider of high-quality training data for organizations that build effective AI systems at scale, today announced new off-the-shelf (OTS) datasets.
Data science continues to evolve as one of the most promising and in-demand career paths and services. It is a forward-looking approach, an exploratory way with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions.
toubimed2 hours ago·3 min readIntroductionOne of main devops goal is to break silos in software development in order to streamline the process of software delivery, from planning and software development life cycle (SDLC) to production and monitoring, to build shorted delivery cycle, increase deplo
QA performance metrics are essential for eliminating inefficient strategies and improving internal processes. They also enable managers to track the progress of their QA team over time and make data driven decisions about future projects.
The lookup function will be run on the agent and the value of $d will be resolved when the catalog is applied. This will make a call to https://vault.hostname:8200/v1/secret/test and wrap the result in strings marked as sensitive, which prevents the value from being visibly logged.
I've been in the industry for 20+ years; and this is what I learned from dealing with numerous production server issues. If the production server issue were a villain, it would have been Thanos. Scary and powerful—with goals beyond your understanding.
Graph processing, AI and analytics company will use new investment to accelerate product roadmap execution, sales and marketing activities AUSTIN, TX – February 24, 2021 – Katana Graph, the high-performance scale-out graph processing, AI and analytics company, announced today that it has complet
A well-structured Software Development Life Cycle is of the utmost importance. Each phase in the SDLC requires its own set of security tools. Let's discuss! Introduction In the development of a robust software system, a well-structured Software Development Life Cycle (SDLC) is of utmost importance.
Enterprises are undergoing rapid changes. Throughout the past year, companies have been pressed to learn a diversified set of technologies and methods to remain agile in a changing economy.
We have seen an explosion in developer tools and platforms related to machine learning and artificial intelligence during the last few years. From cloud-based cognitive APIs to libraries to frameworks to pre-trained models, developers make many choices to infuse AI into their applications.
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