Day two of MLDS 2025, India’s largest GenAI summit for builders, hosted by AIM Media Home, continued with simply as a lot vitality, pleasure, and insightful discussions as the primary day. A number of tech fans attended the occasion.
Right now’s fascinating discuss 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 impression of AI-powered voice brokers throughout numerous industries.
A standout instance talked about was a consumer who forgot about his PAN card utility and was assisted by an AI voice agent in simply 24 hours.
These AI-driven options, constructed for enterprise-scale use, are enhancing buyer experiences, decreasing name dealing with occasions, and automating tens of millions of day by day interactions throughout industries like banking, insurance coverage, and retail.
AI voice brokers are extra than simply chatbots. “They’re the following stage of automation—dealing with real-time conversations at scale,” Gopalan defined. Their AI-powered voice customer support brokers have already processed over 30,000 concurrent calls and tens of millions of day by day interactions.
The know-how works throughout platforms, together with phone, WhatsApp, and iMessage, automating customer support and decreasing operational prices.
“Our AI can decrease name dealing with time by 15% and enhance outcomes for buyer assist brokers by 40%,” Gopalan shared.
In one other fascinating session, Ritesh Agarwal, resolution architect at Talentica Software program, mentioned hallucinations as a key problem with AI.
Though databases and some different strategies can mitigate this, they don’t seem to be the one resolution.
Agarwal and his workforce discovered it troublesome to make use of AI to deal with over 10 million stock-keeping items (SKUs) in e-commerce searches, so that they used AI to repair AI-related issues.
He additional defined that they use take a look at queries to retrieve outcomes based mostly on semantic or cosine similarity. They then ship the picture and question to OpenAI for validation of inventory objects, which returns a easy true or false flag indicating accuracy. This flag is saved within the database to handle hallucinations.
One other spotlight of the day was an thrilling workshop, “Constructing Scalable Multi-Agent Methods with Gemini: From Scratch to EV Trade 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 programs, displaying contributors learn how to construct scalable AI purposes from the bottom up utilizing Google’s Gemini AI fashions. Attendees explored key design patterns, structure, and important instruments wanted to develop sturdy, clever AI programs.
Lastly, a distinguished spotlight of the day was the “40 Below 40 Knowledge Scientists” awards at MLDS 2025, hosted by AIM Media Home.
This prestigious recognition introduced collectively a few of India’s brightest minds in knowledge science, celebrating their innovation, impression, and contributions to the trade.
These younger knowledge scientists are driving the way forward for analytics in India, shaping the panorama with their imaginative and prescient and experience. The award highlights actual innovators and achievers, setting them aside as leaders within the discipline. AIM’s professional panel of editors and trade veterans rigorously reviewed and chosen the winners, making this a very elite recognition on the earth of knowledge science.
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