Building conversational ai
Download as PPTX, PDF0 likes109 views
Rabeb Othmani gave a presentation on building conversational AI. Conversational AI is being fueled by advances in artificial intelligence, machine learning, and natural language processing. To build conversational AI, one must determine the problem it solves, where it will be available, how the conversation will flow, which technologies to use, and plan accordingly. Challenges include ensuring the AI can understand users, adapt to different languages, and that the natural language processing is advanced enough. The experience should be delightful for users. An iterative process of building, testing, publishing, and using analytics is important.
Building conversational ai
- 1. Building Conversational AI Rabeb Othmani Developer Advocate, Nexmo
- 2. Housekeeping Rabeb or BiBi? Either, I don’t mind. Preferred pronoun? She/Her. Tell me yours. Not comfortable speaking in front of a crowd? No worries, talk to me afterwards or email/tweet me. Feel free to ask questions during the talk. Help yourselves to swag
- 3. The next major disruption in computing? Functional programming Containerization Serverless Conversational AI Conversational interfaces Conversational experiences
- 4. Computers that talk AI driven conversational solutions A smarter technology Conversation on human terms Conversational AI
- 6. The Rise of Conversational AI ~45% of end users prefer chatbots as the primary mode of communication for customer service inquires.* Consumer Intelligence Research Partners (CIRP) estimates that 8.2 million people own an Amazon Echo device Alexa has over 40000 skills.** by 2019, the voice recognition market will be a $601 million industry.*** *source: Grand View Research report **source: Expandedrambling Magazine ***source: Technavio
- 7. What fuelled The Rise of Conversational AI? New era of computing Boom of Artificial Intelligence Advances in machine learning Advances in language technologies (Text-to-speech, natural language processing, etc.)
- 8. Building Conversational AI source: Microsoft
- 9. What problem does it solve? Where is it going to be available? What’s the Conversation flow? What tech? Plan
- 10. Challenges & Considerations Make it smart • When to reply? • How to understand the user intentions? User language • Be adaptable • Use a language that the user can understand and relate to. The capabilities of your tech • Is the natural language processing advanced enough?
- 11. A delightful User Experience
- 13. C O N N E C T
- 14. A World of Opportunities
- 15. A World of Opportunities
- 16. A World of Opportunities
- 17. A World of Opportunities
- 18. Connect
Editor's Notes
- #5: A new way to interact with apps engaging voice and text based conversational interfaces. Conversational UIs are text, voice or both Applications that are growing smarter with the ability to learn. powered by AI conversational AI Contextual communication
- #6: Mention examples of conversational AI, how some of them are text based (chatbots) and some others are voice or both. Conversational AI for individual users also for businesses.
- #8: The rise of mobile and messaging apps also helped. Because businesses want to reach their customers whreever they are.