The COO of Bland AI reveals the Future of Voice Tech | Sobhan Nejad скачать в хорошем качестве

The COO of Bland AI reveals the Future of Voice Tech | Sobhan Nejad

👉🏼Join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit My Agency Website: https://bit.ly/4cD9jhG In this video, we explore Bland AI's cutting-edge Inbound Agent AI Receptionist service, designed to revolutionize how businesses handle inbound calls. Sobhan Nejad, COO and Co-Founder of Bland AI, shares insights on how their platform integrates seamlessly with AI tools like ChatGPT and Claude to automate customer interactions. Whether your goal is to reduce workload, enhance customer service, or streamline communication, this discussion covers the practical benefits and robust features of Bland AI’s voice-driven workflows. We also delve into its enterprise-level infrastructure and scalability, including self-hosting capabilities, guardrails, and observability tools. Learn more about the future of voice AI, industry-specific use cases, and how Bland AI is poised to lead the space with their reliable and consistent solutions. 👋 About Me: I'm Mark, a Data Science Manager by day and owner of Prompt Advisers by night, bringing over a decade of experience in AI to help you maximize the potential of applied AI. At Prompt Advisers, we focus on innovative AI solutions tailored to your needs. 🚀 My Mission: To help you navigate the AI landscape confidently by providing practical knowledge, tools, and support to achieve your AI goals.    • Forget Cursor, Replit Agent Can Help Anyon...   #BlandAI #AIReceptionist #VoiceAI #CustomerServiceAutomation #AIinBusiness #TechInnovation #ChatGPT #Claude #VoiceTechnology #AutomationTools #aiworkflow TIMESTAMPS ⏳ 0:00 - Introduction: Overview of podcast discussion with Savon Nad on AI voice agents. 0:08 - Introduction to Bland AI: Leading AI voice platform for automating phone calls. 0:25 - Key Focus Areas: Reliable voice infrastructure, behavior guardrails, and observability. 1:15 - Bland's Growth: 1.5 years old, 14 employees, $20M raised. 1:48 - Differentiation: Full end-to-end voice AI system, self-hosted infrastructure. 3:35 - Enterprise Focus: Scalable platform for large and small operations. 4:28 - Challenge of Human-like Voices: Balancing natural voices with business logic. 5:48 - Timeline for Human-level AI: Predicted in 6 to 12 months. 6:30 - Future Integration: Voice, text, and other communication modes combined. 7:30 - Business Communication Vision: 24/7 AI system for customer communication. 8:15 - Operational Challenges: Self-hosting for reliability and scalability. 8:50 - Competition with GPT Voice: Focus on business-specific needs and scalability. 9:45 - Bland's Use Cases: Customer support, lead qualification, and healthcare calls. 11:10 - Healthcare AI Agents: AI helps check in with patients, easing healthcare burdens. 12:00 - Unexpected Use Cases: AI checking medication availability at pharmacies. 13:30 - Value in Business Calls: AI agents handle logic-based calls more efficiently. 14:35 - AI Receptionists: AI agents expected in nearly all businesses within 3-5 years. 15:00 - Future of AI Calls: AI will enhance customer experience and call efficiency. 15:45 - Emotional Detection: Important only for higher-touch interactions. 17:30 - Common Mistakes: Failing to give proper instructions alongside dialogue examples. 18:45 - Importance of Prompt Engineering: Clear instructions key to success. 20:00 - Next for Bland: Focus on refining product and improving infrastructure with new funding. 21:45 - Closing Remarks: Gratitude for Bland’s growth and podcast collaboration.