Implementing AI is a process from initial concept through to deployment and ongoing maintenance. This panel guided attendees through each stage of the AI lifecycle, including ideation, data collection, model development, testing, deployment, and continuous improvement. Experts discussed best practices for managing this process, ensuring that AI projects are delivered on time and within budget while meeting the specific needs of project teams. The session also covered common pitfalls, such as data quality issues and model bias, and how to mitigate them effectively.
Speakers:
- Luis Lourenzi, Gerdau S.A.
- Medo Eldin, Terrascape AI
- Igor Starkov, Teleworker AI
- Dheekshita Kumar, CivCheck
Discussion
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