Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

DevOps.com

SEPTEMBER 24, 2019

The Rise of Microservices Enterprise adoption of microservices is continuing to rise. Its popularity is so strong that 86% of development professionals internationally expect microservices to become the default application architecture within the next five years. At its core, a […].

Microservices 98

Microservices Enterprise Architecture Applications 98

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Some examples of application modernization: Leveraging microservices Improving automation 3. A Comprehensive Guide.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

OCTOBER 24, 2023

CIOs that don’t drive standard ways of working or governance models may find teams debating which agile frameworks to adopt, what devops tools to focus on, or how to implement design thinking into their roadmaps.

Technical Advisors 363

Technical Advisors Technical Review Artificial Inteligence Generative AI 363

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Some examples of application modernization: Leveraging microservices Improving automation 3. A Comprehensive Guide.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OverOps

JULY 1, 2019

To maintain reliable software, DevOps practices and Site Reliability Engineering are being adopted to ensure the stability of software in fast-paced dev cycles. Static and dynamic analysis can be run on our code, machine learning and artificial intelligence can be applied to our system metrics… you get the picture.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

DevOps.com

JANUARY 11, 2019

trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve […]. Enterprises spent $1.3 The post 5 Trends Transforming Digital and IT Operations Management appeared first on DevOps.com.

Artificial Inteligence 105

Artificial Inteligence Trends Artificial Intelligence Microservices 105

Apiumhub

SEPTEMBER 14, 2022

We constantly participate in software architecture, DevOps, QA, React, Nodejs, and other events as speakers, sponsors, moderators, or partners. DevOps Global Summit’22 (October 4-5). Global Summit React Summit. Global Summit React Summit. Geekle events are always huge! iOS Developers Global Summit’22 (October 11-12).

Software 65

Software DevOps Architecture Blockchain 65

RapidValue

NOVEMBER 3, 2019

If one had to bet on a use case where AI and ML are likely to create a tangible, lasting impact, then he’ll probably put his chips on DevOps. DevOps is all about automation of tasks. AI and ML are considered to be perfect fits for a DevOps culture. They also learn patterns, anticipate problems and suggest solutions to issues.

Artificial Inteligence 14

Artificial Inteligence Artificial Intelligence Machine Learning DevOps 14

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). Systems have multiplied their components in the industry-wide shift to containers and microservices. DevOps vs AIOps. Enter the world of AIOps.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Artificial intelligence and machine learning. Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Microservices Architecture and Design , January 16-17. Domain-Driven Design and Event-Driven Microservices , January 22-23.

Artificial Inteligence 102

Artificial Inteligence Course Training Blockchain 102

O'Reilly Media - Ideas

JANUARY 22, 2019

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. DevOps breaks down more silos; rise of the SRE. Gone are the days of simply responding to issues as they pop up.

Systems Review 78

Systems Review Trends Engineering System 78

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

RapidValue

FEBRUARY 18, 2021

Integration of Artificial Intelligence. Thanks to its numerous benefits, the global Artificial Intelligence market is expected to reach $267 billion by 2027. In addition to this, IDC predicts that 95% of the new microservices will be deployed in the containers by 2021. Increasing Need for Data Security.

Trends 98

Trends Cloud Artificial Intelligence Artificial Inteligence 98

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 frequently attends events like DevOps Days and Kubernetes Community Days. Victor mentioned that he enjoys smaller events more than large ones.

Software Development 52

Software Development Software Review Software Technical Review 52

Apiumhub

JUNE 13, 2023

Inma also recommends following experts on social media including, Allen Hollow, who shares content con software development, and Nerea Luis, a Spanish computer scientist who regularly posts tweets on artificial intelligence. He finds valuable content related to microservices, Java, and cloud technologies on these platforms.

Software Development 65

Software Development Software Review Software Development 65

Apiumhub

JUNE 2, 2022

This year GOTO covers topics like APIs, artificial intelligence, ethics & security, microservices, Cloud computing and so much more. GOTO seeks the best speakers from around the world and let them shape the agenda — they’re the experts after all.

Software Review 52

Software Review Technical Review Fractional CTO Conference 52

Linux Academy

JANUARY 26, 2019

Big Data systems feeding machine learning and artificial intelligence are a prime example of why cloud computing is growing faster than any other segment of the computing infrastructure industry. The impending release of 5G cellular networks will further increase the use of wireless platforms. Last but not least is cloud optimization.

Cloud 60

Cloud Artificial Inteligence Data Center Artificial Intelligence 60

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Artificial Intelligence for Big Data , February 26-27. Microservice Fundamentals , January 10. Microservices Architecture and Design , January 16-17.

Course 57

Course Artificial Inteligence Training Blockchain 57

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Build the continuous integration, delivery, and performance testing that a DevOps or DevSecOps approach requires . Create value from the Internet of Things (IoT) and connected enterprise.

Software Review 94

Software Review Technical Review Software Development Team Review 94

TechBeacon

NOVEMBER 6, 2019

Microservices and DevOps have accelerated time-to-value for code, and cloud computing has made infrastructure almost completely programmable. IT has been transformed over the past decade. Everyone is scrambling to adapt as efficiently as possible to this new landscape.

Microservices 15

Microservices DevOps Infrastructure Cloud 15

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. AIOps will be very much a requirement for the DevOps teams.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Capgemini

JULY 16, 2021

IDEA by Capgemini leverages cloud technology, DevOps principles and a modular microservices architecture to reduce the burden of change on the workforce and help organizations simplify and streamline every aspect of their data modernization journey.

Data 52

Data Microservices Architecture Energy 52

TIBCO - Connected Intelligence

JULY 29, 2020

With no native support for the practice of DevOps that advocates an agile relationship between development and IT operations, teams aren’t able to act or perform cohesively. New developments should be moved into the cloud by creating microservices that can easily scale with the new load it is expected to handle. The Future is Now.

Insurance 42

Insurance Systems Review System Cloud 42

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. One way to ensure your approach meets these requirements is to implement AIOps.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. One way to ensure your approach meets these requirements is to implement AIOps.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

O'Reilly Media - Ideas

MAY 1, 2019

Artificial Intelligence: AI for Business , July 2. Network DevOps , June 6. Deploying Container-Based Microservices on AWS , June 10-11. Microservices Caching Strategies , June 17. Microservice Fundamentals , July 10. Microservice Collaboration , July 11. Blockchain. Ansible in 4 Hours , June 3.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Applications are becoming more modular, leveraging containers and microservices as well as virtualization and bare metal. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Blue Sentry

MAY 17, 2021

When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e., It’s a nightmare. This is where Kubernetes comes into play.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52

Openxcell

NOVEMBER 27, 2023

In addition, their products integrate artificial intelligence to automate repeatable tasks during migrations, modernizations, and variations. It is much easier to develop, test, and launch new features to such an application when you refactor it into a microservices architecture.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

CIO

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. The tool also integrates machine learning and artificial intelligence to help analyze consumption patterns across multiple clouds.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

d2iq

FEBRUARY 19, 2021

There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. Unit and integration tests are pretty standard for data pipelines and microservices. As little as 5% of the code of production machine learning systems is the model itself.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Artificial Intelligence: An Overview of AI and Machine Learning , March 20. Next Generation Decision Making: Pragmatic Artificial Intelligence , March 20-21. Artificial Intelligence for Robotics , March 21-22.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

O'Reilly Media - Ideas

FEBRUARY 18, 2020

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. Also: infrastructure and operations is trending up, while DevOps is trending down. Most cloud native design patterns involve microservices. Coincidence?

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

DevOps.com

JANUARY 7, 2020

Opsani has added support for cloud computing environments to its namesake software-as-a-service (SaaS) platform that leverages machine learning algorithms and other forms of artificial intelligence (AI) to optimize the IT environment.

Artificial Inteligence 16

Artificial Inteligence Artificial Intelligence Cloud Machine Learning 16

Datavail

AUGUST 5, 2021

In a previous blog post, we discussed a number of ways that you can modernize your legacy applications, including cloud migrations, microservices and DevOps. Machine learning and artificial intelligence (AI) have been cited as keys to digital transformation for organizations of all sizes and industries. Azure DevOps.

Azure 52

Azure Software Development Artificial Inteligence Serverless 52