UltraVista Inc

In 2025, Agile Methodology is being reshaped by the profound integration of Artificial Intelligence, a continued shift to hybrid work models, and a stronger focus on strategic and human-centric skills. The field is moving beyond traditional methodologies to become more adaptive, data-driven, and aligned with broad business goals. Technology is no longer just a support function but a core driver of efficiency and insight in Agile Methodology and project management.

Identity and Access Management (IAM) is no longer just about granting employees access to corporate systems with a username and password. It has evolved from a back-office IT function into the cornerstone of modern cybersecurity and business strategy. The digital landscape has been transformed by cloud computing, remote work, sophisticated cyberattacks, and stringent privacy laws. In this new environment, the traditional "castle-and-moat" security model—where everyone inside the corporate network is trusted—is obsolete. The new paradigm is "never trust, always verify," and identity has become the central control point.

This shift is driving several powerful trends that are making IAM more secure, user-friendly, and intelligent.

Exploring Agile Projects Failure

The Agile methodology as a popular framework for software development and project management, emphasizing its flexibility, iterative process, and emphasis on collaboration. Agile methodology is important for several reasons, particularly in the context of software development and project management, as we have explained in this article. Here are some key points that highlight its significance.

Identity and Access Management (IAM) is no longer just about granting employees access to corporate systems with a username and password. It has evolved from a back-office IT function into the cornerstone of modern cybersecurity and business strategy. The digital landscape has been transformed by cloud computing, remote work, sophisticated cyberattacks, and stringent privacy laws. In this new environment, the traditional "castle-and-moat" security model—where everyone inside the corporate network is trusted—is obsolete. The new paradigm is "never trust, always verify," and identity has become the central control point.

This shift is driving several powerful trends that are making IAM more secure, user-friendly, and intelligent.

Exploring Agile Projects Failure

The Agile methodology as a popular framework for software development and project management, emphasizing its flexibility, iterative process, and emphasis on collaboration. Agile methodology is important for several reasons, particularly in the context of software development and project management, as we have explained in this article. Here are some key points that highlight its significance.

Agile Leadership In The Time of Artificial Intelligence

Inasmuch as most of the project management word has already realized that impact Artificial Intelligence (AI) to the real management of project is in reality limited to writing an elaborate project chapter or parsing a contract, the value of AI can be considered from a different perspective - Agile Leadership. This article was inspired by the PMI webinar "Enhancing Leadership Skills with AI", featuring Tomasz Grochowski and Wojciech Dymowski, where they dived into how leadership is changing because of artificial intelligence in project management. And it does, Generative Pre-trained Transformer family of neural network models that uses the transformer architecture and is a key advancement in artificial intelligence (AI) powering generative AI applications as ChatGPT and Deep Seek have influenced a lot of people to lean on AI in generating content. As Agile principles gain traction, Agile leaders must build a distinct set of qualities and talents in order to effectively lead in the era of AI integration. Hopefully more for the education than for plagiarism.

Why is Scrum the Most Popular Agile framework ?

As it is fashionable nowadays, I have decided to consult Artificial Intelligence (AI) to find the answer to this question. So a Web AI assistant had dutifully summarized various query responses in its "AI Overview" as the following:

• Efficiency: Scrum helps teams complete projects quickly and efficiently.
• Time and money management: Scrum ensures that time and money are used effectively.
• Sprint-based: Scrum divides large projects into sprints that are easier to manage.
• Continuous improvement: Scrum provides a framework for focusing on iteration and continuous improvement.
• Collaboration: Scrum values like openness, courage, and respect encourage collaboration.
• Adaptability: Scrum is a process that can be adapted to the current context and circumstances.
• Scrum helps teams structure and manage their work through: values, principles, and practices.
• Scrum teams commit to delivering work at the end of each sprint. They adopt practices and a team structure to help them achieve this cadence.

Agile, What Is It Good For

During 3 days of February 2001, 17 software development practitioners and enthusiasts who called themselves the Agile Alliance, and who observed the increasing need for an alternative to the existing Waterfall software development process, got together at The Lodge at Snowbird ski resort in Utah. We cannot guarantee that there was not heavy drinking involved, though we know that members of the initial alliance were experienced in software development and even more in the business entrepreneurship. So, they produced four principles that they called “Manifesto for Agile Software Development”.

I have been recently chatting with some of my friends about pretty interesting articles with anecdotal examples of why Agile, and particularly Scrum (Scrum Sucks), has failed to deliver on its promises (see the links here and here). The overall sentiment of these insights is that the Agile methods aren’t always the best tools for the job. Let’s explore in more depth, why?