IA na Gestão de Riscos

Artificial Intelligence Risk Management

Ivan Lourenço Costa Goiânia, Goiás, Brazil

Estou terminando minha Especialização Latu Sensu em Inteligência Artificial Aplicada. Minha área de pesquisa será em IA aplicada à Gestão de Riscos. Espero contar com a expertise de vocês para criar meus melhores modelos.

Posted: Nov 16, 2023 8:28 AM

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Laura Schofield

PMI Team Member

Community Specialist| Project Management Institute Newtown Square, PA, United States

Hi Ivan, thanks for your post! I'm including a few ProjectManagement.com resources on AI and risk management here to get you started and to help you identify some experts in the online community:

https://www.projectmanagement.com/articles...risk-management

https://www.projectmanagement.com/articles...tion-challenges

https://www.projectmanagement.com/articles...-key-to-success

https://www.projectmanagement.com/videos/8...al-intelligence

Please note that a "Translate" option is available at the bottom of the page to display this post in the language of your choosing!

Posted: Nov 17, 2023 4:26 PM (Updated by author: Nov 17, 2023 4:29 PM)

Markus Kopko AI Enabler for Project & Program Mgmt | Founder PMotion.ai / The PM AI Coach| PMotion.ai Hamburg, Hamburg, Germany

Hi Ivan,

Thank you for reaching out. Having recently completed my Specialization in Applied Artificial Intelligence, I'm delighted to share insights from my journey, particularly in applying AI to risk management. In my experience, several critical approaches stand out:

Predictive Modeling: machine learning models, especially neural networks, are invaluable in forecasting risks. identify risk patterns effectively.

Sentiment Analysis: Utilizing natural language processing to gauge stakeholder sentiments has been a game-changer. This proactive measure is instrumental in identifying and mitigating potential risks.

Simulation and Modeling: Implementing simulation models to test different risk scenarios has been part of my strategy. It helps understand the implications of various decisions and identify vulnerabilities.

Real-time Data Analysis: Integrating AI systems for real-time data analysis is crucial. They provide swift alerts on emerging risks, vital in dynamic project environments.

Customization of AI Models: Each project has its uniqueness, and I've learned that developing AI models tailored to specific project needs is more effective than applying generic ones.

Ethics and Transparency in AI: I always ensure that my AI models are transparent and ethical, focusing on data privacy and bias issues.

Drawing from my experience in project and program management, I advocate for a holistic approach to risk management, where technical innovation is balanced with a deep understanding of business processes. I am enthusiastic about further exploring this field and am always open to interdisciplinary collaborations that enrich my work.

BR,

Markus

Posted: Nov 20, 2023 1:09 PM

THIAGO SIQUEIRA DA SILVA Engenheiro Civil| VEXOR ENGENHARIA GOIANIA, GO, Brazil

Vejo a IA na gestão de riscos como uma aliada estratégica na execução de obras. Ela não substitui a experiência do engenheiro, mas potencializa nossa capacidade de antecipar problemas.

Com base em dados de cronogramas, produtividade e ocorrências passadas, a IA consegue apontar padrões de atraso, gargalos e até sugerir replanejamentos antes que o risco se materialize no canteiro.

Na prática, é como ter uma visão ampliada do projeto enxergando o que pode dar errado antes de chegar ao campo. É mais precisão na tomada de decisão e menos tempo apagando incêndio.

Posted: Jun 6, 2025 9:13 AM (Updated by author: Jun 6, 2025 4:07 PM)

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