Scaling AI Projects: Insights from Siddharth Pani

Siddharth Pani, an expert in AI and project management, talks about why many AI projects get stuck in the pilot phase.

He explains that companies often focus too much on the technology and not enough on solving real business problems.

Successful projects start by identifying key metrics and operational challenges.

For example, in a project with McDonald's, Pani and his team developed a system to track service quality and efficiency using 26 different metrics.

They faced challenges in scaling the project across 21 restaurants, but by collaborating with partners like Intel and Microsoft, they made the system reliable and easy to use.

Pani emphasizes that technology alone isn't enough; it needs to fit into everyday operations and solve real problems.

His experience with his own product, FAVO, reinforced this idea.

He believes that AI has become more practical and accessible, moving from experimental projects to tools that deliver real value.