MLDS speaker · 2019 · 2026
Ananth Nagaraj
Co-Founder & CTOGnani.ai
About Ananth Nagaraj
Ananth Nagaraj is the Co-Founder & CTO of Gnani.ai and a seasoned technology leader with over 15 years of experience in artificial intelligence, voice technologies, and software engineering. At Gnani.ai, he has been instrumental in developing advanced agentic AI and speech recognition solutions tailored for enterprise use. Prior to his entrepreneurial journey, Ananth worked as an Applications Engineer at Texas Instruments and held engineering roles at Aricent Group and Kyocera Wireless India, building a strong foundation in telecom and embedded systems. He also co-founded 300 Feet Eco Solutions, a waste management firm delivering innovative solutions for corporate spaces and large-scale events, while contributing to civic initiatives aimed at improving urban waste management systems in Bangalore.
2 editions on the MLDS stage · 2 sessions on record

Talks at MLDS
Sessions from the MLDS agendas, newest first.
MLDS 2026
Bengaluru
26–27 Mar 2026Mar 27, 2026 · 16:15–16:35 · Hall 1 · Bengaluru
Keynotes / Tech TalksInya Voice OS by Gnani.ai: An Integrated Approach to STT, TTS, and Voice-to-Voice AI
This presentation introduces Inya Voice OS by Gnani.ai, an integrated voice AI platform that brings together Speech-to-Text (STT), Text-to-Speech (TTS), and Voice-to-Voice capabilities into a unified system. It explores how combining these components enables seamless, real-time conversational experiences, reducing latency and improving accuracy across voice interactions. The session will highlight the design principles behind building scalable and efficient voice pipelines, including handling multilingual speech, optimizing model performance, and enabling natural, human-like responses. It will also discuss practical applications of such an integrated voice stack in enterprise environments, demonstrating how end-to-end voice systems can enhance user engagement and operational efficiency. Additionally, the presentation will touch upon key challenges in deploying voice AI at scale, such as noise robustness, domain adaptation, and real-world variability in speech. The presentation will also include select case studies illustrating real-world deployments and measurable impact across industries. It will conclude with insights into future directions for voice technologies, including more personalized, context-aware, and adaptive voice interactions
MLDS 2019
Bengaluru
30–31 Jan 2019Jan 30, 2019 · 10:00–10:35 · Hall 1 · Bengaluru
KeynoteLearning To Learn
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