Building Voice AI Agents with Deepgram and AWS (NYC Workshop)
Join us for an exclusive lunch and hands-on workshop tailored for developers and data scientists in the medical, insurance, banking, and media sectors. Learn how to harness Deepgram's cutting-edge speech recognition models in a scalable cloud environment, whether on hosted SaaS or self-hosted on Amazon Web Services (AWS). This session will guide you through the entire deployment process.
Transforming Industries with Voice AI
Healthcare: Streamline clinical workflows, enhance patient engagement, and capture accurate medical histories with AI-powered voice solutions.
Insurance: Improve customer service, expedite claims processing, and reduce operational costs with intelligent voice assistants.
Banking: Enhance customer support, automate contact center operations, and secure voice-based transactions with AI-driven voice solutions.
Media: Revolutionize content creation, automate transcription, and unlock new monetization opportunities with voice AI.
Gain hands-on experience deploying Deepgram's ASR models on AWS, from setting up the necessary infrastructure to optimizing for real-time transcription. Our experts will guide you through:
Building sophisticated voice AI agents that understand and respond to human speech
Industry best practices and real-world applications in healthcare, media, insurance, and banking
Setting up Deepgram self-hosted deployments on AWS, plus EC2 instances, storage solutions, and networking configurations for maximum performance and reliability
Optionally, participate in a self-hosted AWS deployment (NDA required) to gain practical experience with Deepgram's models
Participants are encouraged to bring their laptops to follow along with the exercises and leave with the skills needed to implement and manage a robust ASR solution on AWS. A basic understanding of coding is required, but no prior experience with voice AI is necessary.
What you will learn:
Learn how speech-to-text powers efficient conversational workflows
Discover best practices for incorporating low-latency text-to-speech
Build your own voice AI workflow integrating cutting-edge AI
Get frameworks for rapid testing and scaling to deliver exceptional user experiences
Understand the benefits of running Deepgram on AWS VPC for secure, compliant speech recognition
Q&A and networking with industry peers and experts in the Voice AI space
Agenda:
10:00-10:30 AM: Welcome & Intro
10:30-12:00 PM: Workshop
12:00-1:00 PM: Hosted lunch
1:00-2:00 PM: Deploying Deepgram Self-Hosted on AWS (Optional with NDA Required)
Presenters:
Mansi Vaghela – AWS Sr Solutions Architect
Gokhul Srinivasan, Sr Partner Solutions Architect
Damien Murphy, Deepgram Applied Engineer
Rafe Gandola, AWS Partner Manager
Abe Pursell, Deepgram VP Business Development and Partnerships