Remove Artificial Inteligence Remove Software Remove Software Engineering
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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

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Defensive Programming Grows Up

Leading Agile

Defensive programming consists of learning and using guidelines for software design and coding that tend to minimize the frequency and severity of problems in production. The day came when the software community more-or-less forgot about defensive programming. The Age of the Mainframe. And sleep, too. The Age of the Webapp.

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Creating a Positive Workplace: Strategies for Building Trust & Respect

Proofhub

For example, a software engineer may be passionate about artificial intelligence and machine learning. Using collaboration tools to streamline communication and foster teamwork, such as project management software , Kanban boards, instant messaging platforms, and video conferencing tools.

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Generative AI and Project Management in 2024: Three Themes to Watch

MPUG

Increasingly, all enterprises are becoming software-led, which is changing the traditional project management lifecycle into the continuous iterative loop that modern software teams have employed for decades. Increasingly, companies are building applications on top of these models to accomplish astounding automation.

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills. It’s also a fav for analysts as it’s an easily readable and understandable language.

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Working With Machines: AI in Work Management

Wrike

The age of artificial intelligence (AI) is upon us, changing forever the way companies operate and grow. Machine learning (ML) now helps to predict and minimize delays, reduce time spent on mundane tasks, and optimize the skills and talents of the human workforce.

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The Pillar of Steady Operations: Site Reliability Engineer

Wrike

This comprehensive article will delve into the world of SREs, exploring their role, responsibilities, importance in business operations, the intersection of software engineering and systems administration, and the future trends shaping this crucial field.