The Phase 2 results of the ET GenAI Hackathon have now been announced after the completion of the prototype-based evaluation. Shortlisted teams were assessed on their working AI prototypes, showing how well they could turn ideas into usable, real-world solutions. The results highlight a strong focus on execution among India’s AI builders.
“Phase-2” marked the shift from ideas to action. Shortlisted teams were required to submit working AI prototypes, along with system architecture details, demo videos and supporting documents. The evaluation focused on how well the prototype worked, as well as technical strength, innovation and real-world relevance.
This focus on execution reflects what organisations are increasingly looking for from AI. As adoption grows, expectations have shifted from exploration to impact. Businesses are now prioritising solutions that can improve productivity, automate workflows and support better decision-making across teams.
At the same time, companies are looking for AI they can depend on. They want systems that are easy to deploy, work reliably and fit into existing processes. The focus has moved beyond experimentation to building tools that can be used every day.
As the programme moves closer to its final stages, the ET GenAI Hackathon, an initiative by The Economic Times, has continued to highlight the importance of practical AI. The focus throughout has been on building solutions that address real organisational and industry challenges, rather than rewarding futuristic ideas alone.
The emphasis remained firmly on real-world use. What emerged were AI solutions that were practical, relevant and ready to be used. The Phase 2 results reinforce a simple idea: progress in AI comes from building solutions that work in practice, not just in theory.
“Phase-2” marked the shift from ideas to action. Shortlisted teams were required to submit working AI prototypes, along with system architecture details, demo videos and supporting documents. The evaluation focused on how well the prototype worked, as well as technical strength, innovation and real-world relevance.
This focus on execution reflects what organisations are increasingly looking for from AI. As adoption grows, expectations have shifted from exploration to impact. Businesses are now prioritising solutions that can improve productivity, automate workflows and support better decision-making across teams.
At the same time, companies are looking for AI they can depend on. They want systems that are easy to deploy, work reliably and fit into existing processes. The focus has moved beyond experimentation to building tools that can be used every day.
As the programme moves closer to its final stages, the ET GenAI Hackathon, an initiative by The Economic Times, has continued to highlight the importance of practical AI. The focus throughout has been on building solutions that address real organisational and industry challenges, rather than rewarding futuristic ideas alone.
The emphasis remained firmly on real-world use. What emerged were AI solutions that were practical, relevant and ready to be used. The Phase 2 results reinforce a simple idea: progress in AI comes from building solutions that work in practice, not just in theory.
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