Agile Artificial Inteligence Software Developers 
Planview
OCTOBER 22, 2024
Software development teams face increasing pressure to deliver high-quality products faster than ever. To meet these demands, organizations are turning to Artificial Intelligence (AI) and Value Stream Management (VSM) as powerful solutions that can streamline their processes and enhance productivity.
Planview
JANUARY 21, 2025
This year promises to bring transformative changes , driven by the software-defined vehicles (SDVs) challenge, the push to be profitable, and the convergence of automotive and technology ecosystems. Traditional manufacturing methods cannot keep pace with the dynamic demands of software development.
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Planview
JANUARY 15, 2025
What if the principles that transformed software development over the last decade could be the key to successfully implementing AI in your organization? From organizational structure to developer roles, Debois shares insights on why DevOps experience gives teams a unique advantage in navigating the challenges of enterprise AI adoption.
Planview
MARCH 15, 2024
GenAI has become a broad label, described as a type of artificial intelligence (AI) technology that can produce numerous types of content, such as text, video, image, and even music. In essence, AI models can take inputs in various forms and generate new content based on the modality of the model.
Planview
SEPTEMBER 12, 2023
The software development methodologies and organizational design principles harnessed by digital natives are well documented. The latest advances in generative AI and Large Language Models (LLMs) have become ubiquitously available at an unprecedented rate.
Qmarkets
AUGUST 20, 2024
The shift from classical to quantum computing could lead to unprecedented advancements in fields ranging from artificial intelligence to material science, potentially reshaping the competitive landscape in numerous industries.
Planview
DECEMBER 7, 2023
The idea of cutting waste, a principle from manufacturing, is relevant more than ever in software development and knowledge work as a means to increase efficiency. This highlights the critical need for understanding where waste is coming from within the software delivery lifecycle and developing strategies to mitigate it.
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