Google Dialogflow: How enterprises can use it for chatbot development

At a time when enterprises are searching for innovative ways to automate their processes, Google's full release of Dialogflow enterprise edition is expected to add value in the development of conversational AI tools for improved end-user experience.

For companies looking to create intelligent chatbots and better serve their customers, Google has launched Dialogflow enterprise edition after five months of starting the beta phase. The platform provides organizations with little or no AI expertise, the capacity to design and deploy bots capable of natural language processing so as to better serve the end users. Google says that the platform can also be used to extend capabilities of existing virtual assistants such as Google Assistant, Alexa, and Cortana.

With Dialogflow, AI-based conversational interfaces for websites, mobile applications, social media networks, and IoT devices may be developed for enterprise use. Dialogflow has direct integration with Google cloud services, including built-in support for speech recognition API. 

“Even if you have little or no experience in conversational interfaces, you can build natural and rich experiences in days or weeks with the easy-to-use Dialogflow platform."

Dan Aharon

Google Product Manager, Cloud AI

According to Google, KLM Royal Dutch Airlines, Domino's, Ubisoft, and Best Buy are already using Dialogflow to improve customer service and gaming experiences. 

"Even if you have little or no experience in conversational interfaces, you can build natural and rich experiences in days or weeks with the easy-to-use Dialogflow platform," says Dan Aharon, Product Manager, Cloud AI in a blog statement.

Dialogflow can run batch operations, meaning that it combines operations usually requiring multiple API calls into a single API call, reducing code surface and shortening development time, says Google.

The platform is powered by Google Cloud Speech, with real-time streaming and synchronous nodes and support for more than 30 global languages. An integrated analytics dashboard is provided to gain conversational insights for the bot to better recognize and respond to customer needs. 

As Dialogflow runs on the Google cloud platform, the company is aiming to scale the service to millions of enterprise users and compete against big players like AWS and Microsoft which too provide similar cloud-based services for bot development.