Remove Agile Remove Artificial Intelligence Remove Development Remove Devops
article thumbnail

5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Business leaders expect IT to develop new products, improve customer experiences, automate workflows, and deliver new artificial intelligence capabilities. Many IT teams use agile methodologies to iteratively deliver feature-rich releases, improve capabilities, address technical debt, and experiment with emerging technologies.

Agile 125
article thumbnail

Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands. The problem with unstructured manual testing processes The benefits of DevOps testing revolve around increased speed and flexibility.

Devops 95
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

How to get started with AI to speed software delivery

CIO Business Intelligence

Artificial intelligence has so dominated headlines and conversations that it seems like every company is announcing their own AI-related feature, solution, or initiative for their business. It’s already optimizing employee experiences and business workflows, including software development.

Software 124
article thumbnail

Digital.ai’s AI-powered devops platform offers predictive insights

Venture Beast

Digital.ai's new toolset lets IT managers use automation to connect agile development practices at the portfolio, team and individual levels. Read More.

Devops 72
article thumbnail

5 Principles Full Stack Developers and Solutions Architects Must Understand About Machine Learning

Social, Agile and Transformation

According to recent and separate studies from Gartner, Harvey Nash/KPMG, and O'Reilly, somewhere between 24% and 37% of organizations are at least moderately investing in machine learning and artificial intelligence. require(["mojo/.

article thumbnail

The Value of Automation Testing for Enterprises

CIO Business Intelligence

Enterprises that have adopted automation across their organizations—including development, IT operations, and business teams—often find it is difficult to scale their automations due to manual or old testing methods. The tool is Veracode-certified and can also integrate into a DevOps toolchain.

article thumbnail

Introducing! 5 Minutes with @NYIke

Social, Agile and Transformation

Each episode will be approximately five minutes and I'll be sharing best practices and insights on the areas that I cover including digital transformation, agile planning and practices, product management, devops, data science, big data, data governance, artificial intelligence,