Track: Keynote VoiceTech |
| AI for Using Voice Effectively |
| Voice technology is becoming ubiquitous, and it generates enormous user excitement about the potential of AI. Meeting those user expectations requires far more than recognizing and generating the speech itself. This talk will position Natural Language Processing (NLP) within AI and analytics, focusing on the characteristics of well understood tasks and of capabilities that are farther in the future. It will demystify AI, and it will describe a range of types of NLP and related understanding to enable natural and engaging voice experiences, including the exciting new advances that are making far more understanding possible than in the past – and it will talk about the importance of different kinds of understanding. It will describe common cases such as customer care, where context and applicable data sources are key; it will describe more advanced cases, such as assisting experts, where finding new and significant information about their area quickly is critically important; and it will describe more advanced cases and longer-term visions, such as incorporation with Digital Humans and broader AI both to support the voice interaction and to interpret its effects. It will illustrate these ideas by providing examples of work we’ve done at IBM to make voice interactions engaging and seamless, ranging from use of our tools that democratize AI through more highly specialized projects that focus on providing an almost human-like experience. |
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| Presentation Video |