The market of Conversational AI service has been increasing continuously from a longtime now. Leading tech companies like Microsoft, Facebook, Google, and Amazon are offering Natural language understanding and conversational AI tools as a service but IBM Watson is leading in this field traditionally. The way we use AI has changed a lot since last two decades. There was a time when everything was to be hard coded but now, we can use various technologies having tools and blocks.
Both provide Intent classification. Means you can provide examples on which you can train your model. Other than this we need to take care of entities recognition and it can be done by machine learning, a dictionary of possible values or some form of rules. ML Based intent classification is provided by both. But ML based entities recognition is not provided by Dialogflow, which in turn is provided by IBM Watson Assistant. IBM Watson provides dictionary-based entities recognition while dialogflow chatbot provides dictionary as well as Auto expansion mode.
To build complex dialogues both provide UI tools. Also, dialogflow has an option called Knowledge connector which can learn from a simple FAQ document to answer the question. Other than this – both provide Form filling based dialog GUI. IBM Watson doesn’t provide machine learning based dialogue, while Dialogflow provides Machine learning based Dialogue and that too only for Q and A.
Connection to the messaging and Voice Ui channels such as Facebook messenger, Google Assistant and Slack are provided in out of the box format by Dialogflow. But IBM provides a built-in connection to most of the mentioned above channels.
Advantages of Dialogflow
- Built-in conversational agents
- Custom Webhooks
- Great Interface
- OOTB Integrations
- Knowledge Base
- Quick Display
Advantages of IBM Watson
- Pre-built front-end GUI
- Intent Auto-Generation
- Custom Webhooks
Cons of Dialogflow
- Can’t be self-hosted
Cons of IBM Watson – Multilingual
Some of the alternatives of Dialog flow and IBM Watson are – Amazon Lex, Microsoft Bot, Framework, TensorFlow, Telegram Bot API, Messenger platform.
Some of the application of this chatbot are:
- Customer Service Agents- Q and A type of bots, which will provide best prementioned solution to any customer query.
- Conversational Commerce – These bots can help customers make self-service purchases or schedule deliveries.
- Internet of Things – Dialog flow can be integrated with IOT devices at home, which will also improve their precision
Conclusion: According to us, Dialog flow provides the easiest and quickest way to create a custom conversational AI bot, while IBM Watson offers are much more towards targeting more corporations and enterprise organizations.
Get in touch with leading Software service provider who have expertise in building chatbot in all the technologies who can build chatbot in comparatively much lesser time. This will ultimately affect the overall development cost of the project.