Everyone can build an AI demo. The harder question is what happens after people start using it.
WHO YOU SEE
Tara Chklovski // https://www.linkedin.com/in/tarachk/
Maria Delgado // https://www.linkedin.com/in/zmariadelgado/
Maria Zervou // https://www.linkedin.com/in/mariazervou/
​For our next Builder's Room, we’re sitting down with Maria Zervou, Chief AI Officer EMEA at Databricks, to talk about the gap between AI experiments and AI products that actually survive.
​Maria has seen AI projects succeed, stall, and scale. We’ll get into the decisions builders need to make when the prototype works, from data advantage and trust to sustainability and real-world adoption.
​We’ll explore:
​- Why some AI products become essential while others disappear after the demo
​- How builders can turn community knowledge and local context into a real advantage
​- What’s real with AI agents today and what builders should ignore
​- The first questions to ask before scaling an AI product
​- How small teams can build trustworthy AI without enterprise resources
​Try the Databricks platform for free! // https://www.databricks.com/
​This will be an interactive conversation was moderated by Maria Delgado, COO of ThinkingBeyond Education and Technovation alumna. She inspires Gen Z to explore STEM careers and curates high-quality immersive programmes to help rising talent catalyse their potential. Her current line of work lies at the intersection of emerging technologies like AI, ML and Quantum Computing with research-like experiences.
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