AWS provides Amazon Lex, a chatbot building technology.
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Per Speech Request
Google Cloud Dialogflow
Score 7.7 out of 10
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Dialogflow (formerly Api.ai) is a chatbot building tool, designed to give users new ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI.
Dialogflow was acquired by Google in 2019.
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Agentforce
Score 8.0 out of 10
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Agentforce is a solution that provides intelligent bots created and customized via a low code builder. Agentforce agents operate autonomously by retrieving data on demand, building action plans for any task, and executing these plans without human intervention.
If you wish to quickly deploy multilingual chatbots without having to worry about infrastructure and model training, go for Amazon Lex. It is one of the best general-purpose conversational AI solutions in the market. The cherry on the cake is that it also seamlessly integrates with other AWS services, so you would be good there. Performance monitoring is very easy with AWS. It has support for both text and integration. If you are not a pro-NLP expert, Amazon Lex will make your job really easy.
Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
Agentforce has a lot of applications. We are using it in consulting to benchmark other clients, what they're doing, where we stand, how can we have better efficiencies coming in, et cetera. Those are the areas where it is doing exceptionally well. The area where we feel it can do much more better is maybe a market benchmark because it's been used across by so many players and it's a connected ecosystem. If Salesforce can have something where it gives me the market view of things, I can then benchmark rather than in my own universe to the broader university Salesforce and I know where I exactly stand and what more can I achieve, what's my final goalpost. So that would be something really great.
Easy to deploy and very easy to integrate with other AWS services. Automating simple tasks is also very easy with Amazon Lex. We never had NLP experts in our team, but we were still able to deploy chatbots for our support functions with minimal issues. Native integration with other AWS services like S3 and Lambda has been of paramount importance.
Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
The platform offers an intuitive overall experience and the expected strong integration with other Salesforce existent tools. It has a low learning curve for new users on the commom use cases, such as intent classification, routing and knowledge-based answers. It could be improved with more transparency regarding to the AI decision logic.
Community support for Amazon Lex is good. Also, since it is an AWS service, the support has a similar standard as other AWS services. We have had a couple of instances of our bots weren't able to interact with our web apps. We reached out to the support team, and they were able to resolve our issue in no time. The documentation from the Amazon Lex team also makes creating chatbots a breeze.
Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
We did evaluate the EVA bots, which are coming in market for Salesforce effectiveness. Those bots are good, but they're based out of very traditional use cases in the life sciences space. Agentforce is very, very advanced, right? Eva can talk about a typical sales rep coming in, logging in the day, log their entire day, and then probably having a simple text to reporting kind of a view. And that's it. Agentforce gives me a lot of insights, it gives me a lot of actionable insights. It uses its own brain. That's where Salesforce is an AI company. So we trust the Salesforce banner for it to innovate more and more, more and more. And that's where we chose Agentforce over.
As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
