Oracle announced availability of its AI-trained voice with Oracle Digital Assistant. Now, enterprise customers can use voice commands to communicate with their enterprise applications to drive desired actions and outcomes, enriching the user experience with conversational AI, simplifying interactions and improving productivity.
Built on Oracle’s next-generation infrastructure, Oracle Digital Assistant applies AI with deep semantic parsing for natural language processing (NLP), natural language understanding (NLU) and custom machine learning (ML) algorithms. This combination allows Oracle Digital Assistant to understand a user’s natural conversation, derive intent, produce compositional logical forms, and identify and learn user behavior patterns to proactively act on behalf of the user.
A no-code tool that allows enterprises to build conversational experiences, Oracle Digital Assistant can also integrate with human agent work-flows and business processes without any coding required.
Why Oracle Voice
Speak.AI Conversational AI Technologies
Originated first as Voicebox technologies, a leading Speech and NLU company selling into the automotive, mobile, IoT and customer markets. Later, was acquired by Nuance but had retained its core technology assets and its top engineers and scientists in a newly formed company called Speak.ai.
Speak.AI is at edge and on the cloud with 3 core technologies:
Conversational AI at the Edge
Oracle’s intelligent voice assistant for the enterprise brings conversational AI to new applications by analyzing enterprise-specific and domain-specific vocabulary on which open, and consumer-oriented domain models are not trained on. Oracle Digital Assistant, the only enterprise digital assistant on the market today, makes voice and user interactions more expressive by processing complex queries and deriving intelligence from all available enterprise applications, such as ERP, CRM and HR systems to respond in the context to the request made.
The NLP engines that power today’s traditional messaging-based channels lack the ability to handle highly expressive sentences. Voice interactions, however, enable expressive conversations which require NLP engines to manage much more complex constructs. Linguistic constructs like relative clauses, comparatives, superlatives, negation, anaphora, ordinals, cardinals, superlatives, ellipsis, quantifiers and conjunctions now need to be processed by the NLP engines that require more sophistication than the simple intent classification and slot-filling engines available today.
Create a voice enabled Enterprise Digital Assistant that can enable natural conversations
On-Demand Webcast: Oracle’s New Voice for the Enterprise – Click HERE
Hear Oracle VP Suhas Uliyar describe how Oracle is delivering AI-powered conversations for customers. See comparative demos and Q&A session. On-demand replay is now available.