TrustRadius Insights for Oracle Digital Assistant are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Effective Natural Language Processing: Users have praised Oracle AI for its ability to process natural language effectively, resulting in smooth conversations and a good flow of interaction. This feature contributes to more realistic interactions and enhances the quality of conversations with each use.
Seamless Integration with Messaging Apps: Reviewers appreciate how Oracle AI seamlessly integrates with messaging apps, enhancing the overall user experience and making interactions more convenient. The seamless integration allows for more refined results as users engage with the platform.
Chatbot Functionality as Virtual Assistant: Some users value Oracle AI for its chatbot functionality, serving as a virtual assistant that simplifies tasks and boosts efficiency in various applications. The chatbot's secure and scalable nature ensures reliability across different tasks and departments.
We are using Oracle Digital Assistant to bring to life little automated assistants, chatbots, for customer engagements on our website. The bots now handle the monotonous recurrent tasks that were done by humans as they mimic the human actions. We have implemented the assistant bots on multiple departments in our company, tweaking their use depending on the specifics being demanded.
Pros
Oracle AI processes natural language well and the conversations pick a good flow.
It recognizes pattern of behavior for more refined results with each implementation under machine learning.
Cons
It is less flexible with response choices.
Voice recognition needs improvement to detect both distant and close sounds more accurately.
Likelihood to Recommend
We have several customers visiting our websites daily and they've had very common concerns. We used ODA version 21 to implement FAQs, and established a robust Question and Answer framework that utilized well history and data at large. Implementation on departments was notably smooth and the channeled conversations displayed an incredible messaging flow.
We've used Oracle Digital Assistant to deploy AI chatbots and digital assistants for our clients in backend websites and applications. In our company, we are using it for workflow tasks and all for conversational engagements with our clients. We've integrated the software with messaging apps (Facebook, slack) to deliver personal assistance with artificial intelligence.
Pros
It integrates well with messaging apps.
Because it supports natural language, it gives users more realistic experiences.
Cons
Our clients have reported that upon integration with Siri for voice commands, the results are pretty obvious (basic) Nd the conversation is unnatural.
The languages it supports are very limited.
Likelihood to Recommend
It's worked well on websites and apps for repetitive inquiries and frequently asked questions. It's suitable for personalized and more intense engagement with customers. I must admit that Oracle's machine learning ability and natural language processing is impressive which makes the AI conversations awesome. However, the AI is poor with "emotional IQ" but that's why you have the input from staff in the back-end.
We currently use Oracle Digital Assistant as a plug-and-play chatbot for our customers and their attendees to troubleshoot during their events to facilitate a smooth and frictionless attendee experience.
Pros
Help new users become acclimated
Avoid wasting department resources
Head off basic support requests
Cons
More flexibility in response choices
Ability to integrate with other solutions
Likelihood to Recommend
Oracle Digital Assistant is very well suited to helping to solve basic, repeatable inquiries that require minimal technical expertise, helping to avoid committing human resources to very simple to solve problems, and keeping users happy without having to wait long times for a response.
Oracle Digital Assistant helps to provide chatbot functionality to our users to assist them on a prompt basis. Our organizations use it for servicing various our own employees, whomsoever faces issues can raise over a chatbot.
Pros
Chatbot functionality to provide virtual assistant.
Secure and scalable.
Work as one assist nacre for all problems/applications.
Cons
Some additional functionality might be added like suggestions or help for users self-assistance.
Voice recognition is to be improved little bit.
Likelihood to Recommend
For small organizations having a small number of business applications running for their organization, it would be as complex to integrate and study using ORM but for large organizations having numerous applications, working could go with this so that user single assistance for all applications.
Verified User
Employee in Research & Development (1001-5000 employees)
We use Oracle Digital Assistant's AI capabilities to automate some of our most used businesses processes and also to interact with our customers via pre-elaborated messaging.
Pros
Improved process automation.
AI-enabled customer communications.
Ability to integrate to other applications.
Cons
Language differentiation (some of our customers primarily use Spanish, but the AI communications are standardized in English).
Various delicate manual tasks aren't compatible with Oracle Digital Assistant.
Its voice commands are too basic.
Likelihood to Recommend
Oracle Digital Assistant is very well suited for automating basic business processes and localized AI-enabled conversations in English.
It's less appropriate for manual tasks that require careful attention to detail. And it's also less appropriate for foreign languages, for instance, Spanish.
We leverage ODA mainly for building chatbots for the end customers. There are many customers where we implemented chatbots for the entire department and tweaked the use cases for different departments based on the requirements. It has allowed our customers to get a much better user experience and reduced call volume for service agents of that organization resulting in lowering their cost.
Pros
Developing new and custom skills for chatbots.
Developing conversational style skills for chatbots.
Menu style skills for chatbots.
Lots of skills those are available out of the box.
Cons
Building emotional intelligence as part of skills to make it more human like.
Giving more omni-channel experience.
Virtual agents through tighter IVR integration.
Likelihood to Recommend
As mentioned in pros and cons, it depends on the use cases. Most of the normal chatbot use cases can be handled by ODA. If you want to build a chatbot with menu style or conversation style (it is not straight forward but it can be done), ODA can be perfect. If use cases are to also include AI with emotional intelligence to make conversational more interactive and also be able to detect through AI engine automatically what a person would like to do or perform or ask, then ODA may not fit for it. If you also are looking for virtual agents through tighter IVR integration then ODA may not be right. There are a few limitations around the number of words in the text to voice feature.
Verified User
Director in Professional Services (201-500 employees)
Oracle Digital Assistant is a cutting edge platform for developing chatbots with AI/ML integrated. Here are some of the benefits of using ODA for chatbot development:
It can easily integrate with the mobile hub and integration cloud.
Has a set of pre-built skills.
Comes with AI/ML processing - since it works like a subscription, all the new technology is available automatically. The new beta version has an inbuilt conversation builder which can be used to build conversation without the YAML code.
Pros
All new technology is upgraded automatically.
Has a set of pre-built skills.
Cons
Conversation builder.
User-authentication.
Analytics for the conversation.
Likelihood to Recommend
Well suited:
Building a bot that needs continuous improvement.
Conversion of FAQs into a suitable conversation bot.
Building bots which need integration with third-party ERP applications or any other systems.
Can integrate well with any third-party systems.
Integration happens through API.
Less appropriate:
I do not see an area where ODA can be inappropriate for building bots.