VAs - Virtual Assistants
Increase your staff capabilities with virtual employee assistants
Robots are increasingly helping us daily (from robot vacuums to Alexa 'IVA or IPA'). Virtual assistants can revolutionize the employee experience similarly by managing repetitive tasks on behalf of your workforce.
See what Tinubu is producing on Virtual Assistant
Here you will find the assets developed by the Innovation LAB Team. This list will be completed progressively with new articles when developed.
- Technical paper
- Scientific publication
- Technical achievement (or Prototype)
Part I: Build a Virtual Assistant with Google Dialogflow that consumes Financial Open Data APIs
This is the first part of the series on how to build an enterprise-grade multiplatform Virtual Assistant with Google Dialogflow & Flutter
A.I. and Virtual Assistant revolution:
Consumer-grade virtual assistants (e.g. Google Assistant, Alexa, Siri) have deeply transformed how people engage with technology in their personal lives. But I’m one of those who believe that one day, Virtual Assistants and AI will be massively used to transform the way employees interact with their systems at work and automate their day-to-day tasks.
Part II: Integrate your Dialogflow agent with Euler Hermes APIs and present the data to the user
This is the second part of the series on how to build an enterprise-grade multiplatform Virtual Assistant with Google Dialogflow & Flutter
This article will go further and will allow you to build step-by-step a real chatbot connected to an open data Euler Hermes API. As this article is more technical, it requires some programming knowledge.
Part III: Design a simple iOS application in Flutter that communicates with your Dialogflow agent
This is the third part of the series on how to build an enterprise-grade multiplatform Virtual Assistant with Google Dialogflow & Flutter
With this new article, we want to allow you to go beyond the limitation of Google Assistant layout, design a simple multiplatform application in Flutter and manage customized ‘Payload’ Dialogflow messages to exchange information between Dialogflow and our Flutter application.
The additional benefit is that the designed mobile application can be dynamic. It can react and display components depending on the business logic in payload messages that are sent from your NLP conversational backend engine.