Digital Assistant is an AI service that offers prebuilt skills and templates to create conversational experiences for your business applications and customers through text, chat, and voice interfaces. Application owners can easily get started with prebuilt skills to provide chatbot functionality to business users. Developers can build on the library of templates and create their own custom skills to automate the customer experiences. Attend this webcast series to get started with Oracle Digital Assistant, build your own chatbot, improve your conversational AI and understand what makes a great bot.
In this 6 part series we will focus on the end-to-end best practices, to guide you on what constitutes a great conversational experience.
We start with "What makes a great digital assistant" where we look to some live implementations , good and bad examples, smart strategies to manage typical scenarios and the importance of conversation design.
The second session will focus on a "Production quality NLP" and how to make the most of the incredibly powerful engine that powers ODA. Learning the best practices in designing intents and utterances, how to incrementally test progress and also strategies to manage disambiguation.
"Why are Entities so important?" will be the topic for the 3rd session. Here we will explore real life challenges for entity extraction and how to leverage the platform features to solve them.
The Visual flow designer gives the tools to easily create a conversation flow. In "Best practices while designing conversations" we look some of best practices and patterns.
Backend connectivity is how we get to data stored externally. In the 5th session with "Connect ODA with any backend application" we focus on how to make the best of ODA's custom components and deployment options.
We end the series with "Expose your assistant anywhere you need" that will cover some of the most used channels our customers use to expose the digital assistant to their end users