Artificial Inteligence Controlling Generative AI Risk 
Planview
JULY 26, 2023
In its conventional sense, project management has been marked by rigorous methods and stringent controls. But in the wake of generative AI technology, we’re on the brink of a transformative change in how projects are managed.
The IIL Blog
APRIL 2, 2024
By Monica Mendoza April 3, 2024 Artificial intelligence (AI) has been in the news a lot recently, thanks to the recent launch of several impressive generative AI tools such as GPT-4 and Synthesia. Similar concepts have been explored on a smaller scale in industrial parts and controlled urban settings worldwide.
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LiquidPlanner
JUNE 14, 2023
The basics of good collaboration, communication, scheduling and managing risk might still underpin everything we do, but project professionals have to regularly adapt to the world around them. Get good at budgeting so you keep project costs under control. AI has a huge capacity to help us deliver projects more reliably.
Epicflow Blog
JANUARY 30, 2024
Diverse Applications of Artificial Intelligence The application of artificial intelligence (we also include here machine learning, automation, predictive analytics, and generative AI) is gaining momentum in the project management landscape, revolutionizing the ways projects are planned and managed.
Project Pulse Journal
MARCH 15, 2024
Models Models in project management are theoretical frameworks or representations that help explain, predict, or control project aspects. Models can also identify relationships between various project variables or components, visualize the workflow in project documents, or act as a decision-making aid.
Resource Guru
JUNE 27, 2023
No industry or discipline has escaped the emergence of generative AI, but we’re still in the early stages of knowing exactly what it means and how to use it (fully) to our advantage. What is ChatGPT and generative AI? Here’s what it said: “ChatGPT is an advanced language model developed by OpenAI.
Henny Portman
JANUARY 31, 2024
It can be used for task allocation, resource management, monitoring scope (creep) and schedules including EVA, controlling costs, and maintaining quality. Risk management AI can identify and analyze risks as well as plan responses and monitor progress. It can generate (and answer) questionnaires to gather expert opinions.
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