Generative AI Initiating Sustainability 
Scrum.org
MARCH 30, 2025
A reason to embrace generative AI in Agile? Introduction: The AI Dilemma in the Agile Community Interestingly, Agile practitioners are no strangers to skepticism about new tools. provides compelling evidence of AIs impact on collaborative work.
Planview
JULY 26, 2023
But in the wake of generative AI technology, we’re on the brink of a transformative change in how projects are managed. Vendors who dismiss generative AI as just another flash-in-the-pan will see their customers run for the exits toward more sophisticated and user-friendly solutions.
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Project Accelerator News
JANUARY 17, 2025
Lauren says over 80% of CIOs plan to increase investments in cybersecurity, generative AI, data analytics, and integration technologies/APIs, meanwhile almost half (43%) plan to cut spending on legacy infrastructure and on-premises data centres. The lesson is: Bring your IT Project talent into the decision-making process sooner!
Scrum.org
JANUARY 30, 2023
This article is another excursion into this nascent yet fascinating new technology of generative AI and LLMs and the future of knowledge work. We thought that AI might initially come after simple office jobs. We thought that AI might initially come after simple office jobs. I am no longer sure about that.
The IIL Blog
FEBRUARY 28, 2024
With thematic focuses on artificial intelligence, sustainability, and cybersecurity, this online event promises to be a truly transformative experience for professionals across a broad spectrum of industries. Learn how to harness the power of AI to drive innovation, optimize processes, and unlock new possibilities for growth.
Digite
SEPTEMBER 20, 2018
Digital Transformation (DX) is one of the, if not the, most crucial initiatives that many organizations have undertaken or are taking up. However, it is our belief that Artificial Intelligence (AI) and Machine Learning (ML) will be the key technologies that will propel organizations through the Digital Transformation. In Summary.
NimbleWork
OCTOBER 11, 2024
Through machine learning algorithms, AI analyzes historical performance data, skill sets, and current workloads to ensure tasks are assigned to the most suitable team members, enhancing project management and collaboration. However, one of the most significant applications of AI in the software industry is code generation.
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