Users can build custom conversational experiences using Google Assistant’s voice and visual APIs. Take users on journeys through a product, using Assistant’s natural language understanding (NLU) capabilities and developer tools.
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Oracle Digital Assistant
Score 7.9 out of 10
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Oracle Digital Assistant delivers an AI platform to create conversational experiences for business applications through text, chat, and voice interfaces.
For quick timing and scheduling calls - As I can just say, ok google, I want to have a call with {teammate's name} today, can you find a. time of 30mins for me sometime this week?
Can you answer on the design pattern which Netflix uses for next video
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.
I think newer, complementary ideas are a bit sharper than Google Assistant especially in a Q&A environment or when seeking some depth to a subject. That enhancement is to be expected I feel. And Google Assistant is not so self limiting so I don't have a lot of improvement needs because I use this for what I've become accustomed to and for the ability overall.
It is always important to do your best around hectic places, in bad tower signal areas or even if trying to do something new while using Google Assistant. Have patience in the setting. It pays off.
I feel this can be adjusted and after some trial and error you sort of start knowing what will work and how. And I have to say the overall impact becomes personal and we are all different. I'm small scale and as I've said, it works.
This is where I would go next. And I think in functionality Google Gemini has a place. Especially so in this Newer AI driven world. I don't have any full force desire or usage on Google Gemini at the present. It is mostly what has been passed on to me in indirect ways.
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.
I'm about strategy and clarity in my projects and flexibility to change, enhance and correct. I get what I need in this via Google Assistant.
When I need to get the word out or have a little extra done in real time I can easily use the feature via my voice commands while I'm doing something else simultaneously even in an environment where background noise and atmospheric clutter might be present. Clarity is pretty solid in my experience.
I like to use as little as possible when it comes to Bluetooth, smart enhancements and such and having Google Assistant interact with my connected items is rather smooth as well.
