AI assisted engineering: adoption framework, main blockers, and ways forward
Quickie (INTERMEDIATE level)
MC 2
Content:
Key takeways:
Audience:
- Ai-adoption framework (a detailed framework on how AI adoption is driven and orchestrated in efood, including steps, KPIs etcr)
- Main blockers of AI-adoption, and ways to overcome them
- A look into the future
Key takeways:
- AI-adoption should be guided and measured.
- Engineers need guidance, motivation, help, and training.
Audience:
- Mostly managers and engineers, although the AI-adoption framework is generci and can be potentially used for all employees of a company.
thanassis bantios
efood
Leading the engineering team at efood, the #1 delivery service in Greece, a company focused on food, groceries, and all kind of goods delivered at your door with the best user experience."
Previous experiences include Beat, a ride-hailing company operating mainly in Latin America, and Linearity, a design and animation software company.
My work has been heavily influenced by the Agile and DevOps movement. MLOps, and recently, AI-assisted engineering.
Previous experiences include Beat, a ride-hailing company operating mainly in Latin America, and Linearity, a design and animation software company.
My work has been heavily influenced by the Agile and DevOps movement. MLOps, and recently, AI-assisted engineering.