49 Reviews and Ratings
17 Reviews and Ratings
It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.Incentivized
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.Incentivized
Being hosted in Azure solves a massive hosting problemThe language understanding system has the ability to revolutionize many vertical marketsIntegrating with Cortana Analytics was really simple due to easy to understand documentationIncentivized
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.Incentivized
More partnerships with colleges and schools to increase the workforce with technical knowledge (increase local workforce)Have more online training and documentation in other languagesHave affordable prices for studentsIncentivized
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.Incentivized
IBM Watson Assistant has been early into this market and has improved a lot over time compared to Azure AI Cortana. More documentation related to the services. But Ease of integration Azure AI ranks over IBM Watson Assistant. And again in terms of services offered under the ecosystem, Azure AI precedes IBM Watson Assitant.Incentivized
I selected Oracle Digital Assistant against all other digital assistant platforms as this platform works like a charm with any Oracle application. It integrates well with Oracle Integration Cloud. The new beta version has an inbuilt conversation builder which can be used to build conversation without the YAML code. Incentivized
Difficult to ascertain the ROI as we are a software house who have developed a module in our application using Cortana. However for companies that use our software I would say the use of sentiment analysis in our application could free up at least 1 full time resource to be used elsewhere in their organisation.Incentivized
We've had a good integration with our existing databases and applications.Our customers are crypto traders and we've had more engagement with them, which means a lot to us.Incentivized