Vention’s Post

View organization page for Vention

62,228 followers

71 percent of companies rely on GenAI for core business functions, including voice for customer service, training, and interactive marketing campaigns. But one challenge remains: can AI voices truly sound human? At Vention, our ML team set out to answer that question — building a real-time voice assistant that listens, understands, and responds instantly. 💡 In this case study, Machine Learning Engineer Mikita Ramanovich shares how the team tackled low-latency dialogue and lifelike speech. “In early-stage AI projects, context, speed, and modular iterations matter most. Quick wins build trust and prove value fast,” he shares. #GenAI #VoiceAI #AIassistants #MLengineering #AIspeech

To view or add a comment, sign in

Explore content categories