MLDS 2025: Key Highlights from Day 2

Day two of MLDS 2025, India’s biggest GenAI summit for developers, hosted by AIM Media House, continued with just as much energy, excitement, and insightful discussions as the first day. Multiple tech enthusiasts attended the event.

Today’s captivating talk featured AI innovators Ganesh Gopalan, CEO and co-founder of Gnani AI, and Bharat Shankar, co-founder and chief product and engineering officer at Gnani AI, highlighting the transformative impact of AI-powered voice agents across various industries.

A standout example mentioned was a user who forgot about his PAN card application and was assisted by an AI voice agent in just 24 hours. 

These AI-driven solutions, built for enterprise-scale use, are enhancing customer experiences, reducing call handling times, and automating millions of daily interactions across industries like banking, insurance, and retail.

AI voice agents are more than just chatbots. “They are the next level of automation—handling real-time conversations at scale,” Gopalan explained. Their AI-powered voice customer service agents have already processed over 30,000 concurrent calls and millions of daily interactions.

The technology works across platforms, including telephone, WhatsApp, and iMessage, automating customer service and reducing operational costs.

“Our AI can lower call handling time by 15% and improve outcomes for customer support agents by 40%,” Gopalan shared.

In another interesting session, Ritesh Agarwal, solution architect at Talentica Software, discussed hallucinations as a key challenge with AI. 

Although databases and a few other methods can mitigate this, they are not the only solution. 

Agarwal and his team found it difficult to use AI to handle over 10 million stock-keeping units (SKUs) in e-commerce searches, so they used AI to fix AI-related problems.

He further explained that they use test queries to retrieve results based on semantic or cosine similarity. They then send the image and query to OpenAI for validation of stock items, which returns a simple true or false flag indicating accuracy. This flag is stored in the database to manage hallucinations.

Another highlight of the day was an exciting workshop, “Building Scalable Multi-Agent Systems with Gemini: From Scratch to EV Industry Report,” led by Gopala Dhar, an AI engineer at Google Cloud, and Lavi Nigam, a developer relations engineer at Google Cloud.

This hands-on session delved deep into the world of multi-agent systems, showing participants how to build scalable AI applications from the ground up using Google’s Gemini AI models. Attendees explored key design patterns, architecture, and essential tools needed to develop robust, intelligent AI systems.

Finally, a prominent highlight of the day was the “40 Under 40 Data Scientists” awards at MLDS 2025, hosted by AIM Media House. 

This prestigious recognition brought together some of India’s brightest minds in data science, celebrating their innovation, impact, and contributions to the industry.

These young data scientists are driving the future of analytics in India, shaping the landscape with their vision and expertise. The award highlights real innovators and achievers, setting them apart as leaders in the field. AIM’s expert panel of editors and industry veterans carefully reviewed and selected the winners, making this a truly elite recognition in the world of data science.