OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. The principle of continuous integration Continuous integration is the practice of regularly merging code changes into a central repository and testing them automatically.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

DevOps.com

FEBRUARY 10, 2023

It aims to improve collaboration and communication between these two teams and to automate the process of software delivery so that changes can be made and deployed more quickly and easily. This can include continuous integration, continuous delivery […] The post Graduating From DevOps to MLOps?

DevOps 104

DevOps Tools Continuous Delivery Continuous Integration 104

Blue Sentry

MAY 17, 2021

In particular, deep learning, machine learning, and AI tend to be the three trickiest to pin down. Despite machine learning and AI embedding into nearly every industry, both technologies are still extremely modern — especially in the context of business fit. Machine Learning is Use-case Drenched.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

OTS Solutions

AUGUST 10, 2023

DevOps Landscape in 2023 The DevOps landscape has evolved significantly over the years, and as we look ahead to 2023, the latest trends in DevOps will continue to shape the industry. One of the major shifts in DevOps is the increasing adoption of artificial intelligence and machine learning.

DevOps 130

DevOps Software Review Weak Development Team Artificial Inteligence 130

O'Reilly Media - Ideas

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

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Product Management UI/UX Artificial Inteligence Machine Learning 145

DevOps.com

MARCH 12, 2024

Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT).

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Artificial Inteligence Testing Artificial Intelligence Machine Learning 70

OTS Solutions

SEPTEMBER 5, 2023

Security is supposed to be part of the automated testing and should be built into the continuous integration and deployment processes. Continuous Deployment (CD) and continuous Integration for Cloud apps Continuous Integration (CI) and Continuous Deployment (CD) are highly regarded as best practices in DevOps cloud environments.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

CircleCI

OCTOBER 5, 2020

Our CEO, Jim Rose, recently sat down with Cack on IVP’s Hypergrowth podcast to discuss the rise of software delivery as a competitive differentiator, and what it’s like achieving hypergrowth and adjusting CircleCI as an organization. Cack Wilhelm: I’d love to hear about the secular trends behind CircleCI.

Software 122

Software Scalability Marketing Infrastructure 122

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 60

Course Training Artificial Inteligence Machine Learning 60

CloudScaling

APRIL 12, 2017

Continuous response—or “CR”—is an overlooked link in the DevOps process chain. The two other major links—continuous integration (CI) and continuous delivery (CD)—are well understood, but CR is not. Similarly, CR is a process flow that begins with the delivery of new code via CD. They are a process flow.

DevOps 56

DevOps Software Review Artificial Inteligence Continuous Delivery 56

DevOps.com

AUGUST 13, 2019

At the DevOps World | Jenkins World 2019 conference, OverOps announced it has integrated its namesake tools for analyzing Java and Microsoft.NET code at runtime with a variety of continuous integration/continuous deployment (CI/CD) platforms, including Jenkins, JetBrains TeamCity, Atlassian Bamboo and Pivotal Concourse.

Continuous Integration 44

Continuous Integration DevOps Conference Engineering 44

Mobilunity

APRIL 22, 2025

What Is DevOps DevOps integrates Development and Operations teams to streamline the software development lifecycle. Its built around automation, Continuous Integration / Continuous Delivery (CI/CD), and rapid iteration. Accelerates deployments and releases through automation and Continuous Integration pipelines.

DevOps 40

DevOps Software Review Development Team Review Technical Review 40

Linux Academy

MARCH 28, 2019

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. The popularity of agile development, continuous integration, and continuous delivery has brought levels of automation that rival anything preciously known.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Cloudera

APRIL 14, 2021

Using the CDE Integration API: CDE provides a robust API for integration with your existing continuous integration/continuous delivery platforms. This ensures that the right data pipelines are running on the most cost-effective engines available in the market today. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

Altexsoft

FEBRUARY 10, 2021

Another representative of Ops family — MLOps — merges operations with machine learning. It may prepare quality datasets and features for machine learning algorithms, but doesn’t offer solutions for training ML models and running them in production. DataOps vs MLOps. What MLOps has in common with DataOps.

Analytics 75

Analytics DevOps Development Software Review 75

DevOps.com

APRIL 11, 2019

DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent and most of the time businesses decided it was far too much effort. However, if the last nine years has taught us anything, […].

DevOps 111

DevOps Trends Infrastructure Artificial Inteligence 111

Apiumhub

JULY 24, 2023

Carlos predicted that 2023 would bring significant advancements in front-end development, particularly in the areas of artificial intelligence, machine learning, and automation. He discussed the potential applications of machine learning for performance optimization and adaptive content loading.

Software Development 52

Software Development Software Review Software Development 52

Altexsoft

JANUARY 26, 2022

They commonly prepare data and build machine learning (ML) models. Get acquainted with how data is prepared for machine learning projects in our dedicated video. Get acquainted with how data is prepared for machine learning projects in our dedicated video. Data visualization.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Altexsoft

SEPTEMBER 28, 2021

machine learning , DevOps and system administration, automated-testing, software prototyping, and. Buildbot for continuous integration (CI). Among them are a Gradle build tool and platforms for continuous delivery and integration (CI/CD)such as Travis CI , Strider CD (continuous deployment), and TeamCity.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Invid Group

AUGUST 28, 2024

The legal sector has been traditionally conservative, but in recent years, it has embraced AI integration and innovation advantages. Consider tools like CicleCI [22] for Continuous Integration (CI) and Continuous Delivery (CD) to speed up testing new changes and their deployment to production.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Linux Academy

APRIL 9, 2019

AWS Certified Machine Learning. Architect a continuous integration and deployment process. This means you should be very knowledgeable in the areas of: Implement and manage continuous delivery systems and methodologies on AWS. AWS Certified Machine Learning. AWS Certified Big Data.

AWS 60

AWS DevOps Architecture Scalability 60

Coveros

JANUARY 17, 2024

DevOps: Streamlining Development and Operations DevOps practices aim to enhance collaboration between development and operations teams, fostering a culture of continuous integration and continuous delivery (CI/CD).

Strategy 59

Strategy How To Artificial Inteligence Training 59

Trigent

MARCH 8, 2021

Expanding nature of products, need for faster releases to market much ahead of competition, knee jerk or ad hoc reactions to newer revenue streams with products, ever increasing role of customer experience across newer channels of interaction, are all driving the need to scale up development and testing.

Testing 98

Testing Software Review DevOps Technical Review 98

DevOps.com

AUGUST 4, 2023

Release management is a critical discipline within software development and IT operations that focuses on the planning, scheduling, coordination and deployment of software releases. It includes the procedures, plans and methods employed to guarantee that software updates or items are sent to customers in a secure and effective way.

Software Development 96

Software Development Software Artificial Inteligence Development 96

Apiumhub

MARCH 26, 2019

He worked on several projects focused on the principles of designing massively scalable software architectures for big data applications, and building knowledge bases both manually and using machine learning to support engineering tasks. Dave Farley. Juan Manuel Serrano Hidalgo. Juan Manuel is CTO and co-founder of Habla Computing.

Software Review 44

Software Review Architecture Technical Review Software 44

Openxcell

NOVEMBER 27, 2023

As an example, you might replace an old data management environment with an autonomous database that can perform automatic updates and has built-in machine learning capabilities when moving an HCM application from your data center to the cloud. Whenever possible, middleware tools should be used to automate certain processes.

Strategy 52

Strategy Cloud Tools Disaster Recovery 52

Altexsoft

OCTOBER 24, 2022

Artificial intelligence (AI) and machine learning technologies enable CloudOps administrators to automate these tasks efficiently. At the core of a DevOps organization is a continuous integration / continuous delivery (CI/CD) pipeline that supports automated building, testing, and deployment of software projects.

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Organization Disaster Recovery DevOps Artificial Inteligence 40

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning. What does this tell us?

Trends 144

Trends Technical Review Technology Software Review 144

CIO

AUGUST 7, 2024

To counter bad actors, TCS decided to deploy automation, artificial intelligence, and machine learning resulting in a more sophisticated, AI-assisted enterprise defense. It also crafted multiple machine learning and AI models to tackle business challenges.

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Artificial Inteligence Data Center Weak Development Team Fractional CTO 180

Tenable

MARCH 22, 2024

Secure continuous integration and continuous delivery (CI/CD) pipelines with, for example, strong IAM, log audits and secrets management. This can be a roadblock for organizations otherwise eager to deploy AI and machine learning tools. Implement network micro segmentation and end-to-end encryption.

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Artificial Inteligence Cloud Technical Review Generative AI 127