Development PracticesQuickie15min
AI assisted engineering: adoption framework, main blockers, and ways forward
This talk presents efood’s detailed AI-adoption framework, outlining steps, KPIs, and strategies to overcome common blockers. It emphasizes that successful AI adoption requires structured guidance, measurable progress, and continuous support through motivation, training, and leadership—offering practical insights for managers, engineers, and broader organizational teams.
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thanassis bantiosefood
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Thursday, April 23, 15:35-15:50
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
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.
