Oracle has 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.
“Enterprises are demanding an AI-powered voice assistant that understands their specific vocabulary and enables naturally expressive interactions for its users,” said Suhas Uliyar, vice president, AI and Digital Assistant, Oracle. “Most of all though, enterprises value a highly secure AI-powered voice assistant that stores their business’ sensitive data in Oracle’s second generation cloud infrastructure.”
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 in order to proactively take action 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.
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 run existing messaging-based channels lack the flexibility to handle extremely expressive sentences and complicated constructs.
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.
Oracle Digital Assistant is pre-built with AI-trained enterprise skills across ERP, SCM, HCM and CX and can connect to multiple back-end systems simultaneously to orchestrate user interactions across various application skills.
Customers in various industries showcase the power of Oracle Digital Assistant.
“Deploying the chatbot is going to make significant savings this year,” said Chris Ashworth, CIO, Hermes. “Oracle Digital Assistant now handles 38 percent of our customer queries providing us with significant cost savings and an increase in our customer satisfaction levels.”
Oracle Digital Assistant can also be deployed to popular conversational interfaces, such as Microsoft Teams, Slack, Facebook Messenger, WeChat and across voice interfaces like Siri and Alexa.