Community Specialist| Project Management InstituteNewtown Square, PA, United States
Over the last few months, there has been much discussion around how community members have leveraged Generative AI on projects and various project management activities.
Have you found that Generative AI adoption (whether for meeting minutes, drafting communications, data analysis, etc.) is more challenging for specific industries or project types?
Yes, data security can have a very big influence on how AI can be used. In tech heavy industries like aerospace, network security is a big issue with specific accounts required for every system of which there are many. Being able to link the information from many databases together to provide a more comprehensive picture is very difficult if not impossible for a tool that must securely access many databases. Requirements for using outside AI tools like ChatGPT require no proprietary information be used. Effectively, you can look the broader industry trends better than your own department. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
Generative Ai (GenAI) is outside there from long time ago. The break point was a new model created and published by Google in 2015. Just to remember, GenAi is just like a human being has the possibility to read and remember all the data that exists in the whole world up to a date and then, when you ask to her/him, in a probabilistic way she/he answer your question. What organizations has to be taking into account is that to use it for business almost a new structure has to be created inside the organization. Why? Because GenAI input (which is data) has to be decided, GenAI output (which is a best guess) has to be validated, security, ethic and other things (included legal ones) has to be checked about the GenAI outputs no matter you use the outputs internally. Adding to that, training about how to answer (prompt) has to be deliver between other things. Saving Changes...
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