Remove Infrastructure Remove Risk Management Remove Software Engineering
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Infrastructure & Platform Management

Alan Parker Blog

Introduction Purpose The primary aim of infrastructure and platform management is to ensure that an organisation’s technological base, comprising hardware, software, networks, and facilities, is robust, efficient, and capable of meeting current and future needs.

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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime. By automating routine and complex tasks alike, AI allows engineers to focus on innovation and strategic tasks.

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The Pillar of Steady Operations: Site Reliability Engineer

Wrike

In today’s fast-paced technological landscape, maintaining a stable and reliable system infrastructure is paramount to business success. Enter the Site Reliability Engineer (SRE), the unsung hero of the digital age. Unlike traditional system administrators, SREs bring a software engineering perspective to the table.

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Risk Management Resources

Herding Cats

Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.

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A Compendium of Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. reducible and irreducible ? De Meyer, C.

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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. In our experience, there are a few key themes to watch in 2024 as generative AI impacts Project Management : 1.

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Biases in Project Management and How to Remove Them

Herding Cats

There is always lots of complaining about the biases introduced into managing projects and making the estimates needed to make project decisions. Optimism bias - a cognitive bias that causes a person to believe that they are at a lesser risk of experiencing a negative event compared to others. These principles originate in: .