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WeAreDevelopers LIVE • Sep 22, 2021

Integrate your Cognitive Assistant with 3rd-party DBs and software

Felix Augenstein

Basic chatbots read scripts; cognitive assistants execute real business workflows. Learn how to securely connect Watson Assistant to Jira, HubSpot, and third-party databases using serverless middleware.

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#1 about 2 min

Introduction to Watson cognitive assistance and deployment flexibility

An introduction to cognitive assistants and the session outline covering Watson services and practical tutorials.

#2 about 2 min

Deploying Watson services across hybrid cloud environments

How Cloud Pak for Data running on Red Hat OpenShift allows deploying Watson on any infrastructure.

#3 about 2 min

Real-world example of Watson Assistant in space

How the Simon interactive companion assists astronauts on the international space station to save time and reduce costs.

#4 about 4 min

Core capabilities and features of Watson Assistant

Building intelligent conversational interfaces that integrate with multiple channels, searchable databases, and external APIs.

#5 about 3 min

Creating a new Watson Assistant service instance

Navigating the IBM Cloud dashboard to provision a service and select usage plans for development.

#6 about 2 min

Starting a new dialog skill for conversational AI

Navigating the Watson Assistant dashboard to create or import dialog skills for conversational applications.

#7 about 3 min

Identifying user goals with intent classification

Training the assistant to recognize user aims by providing examples of natural language input.

#8 about 3 min

Extracting specific variables via system and custom entities

Using entities to recognize contextual values like product types for customized and human-like interactions.

#9 about 4 min

Structuring conversational flow using dialog nodes

Configuring dialog nodes with specific conditions to handle user requests throughout the conversation path.

#10 about 3 min

Testing and debugging intents in the try it panel

Verifying how custom dialog flows process conversational inputs and assign context variables during interactions.

#11 about 4 min

Integrating the web chat interface into a frontend application

Customizing the web chat user interface and embedding the generated code snippet into a Node.js project.

#12 about 5 min

Connecting Watson Assistant to external databases using webhooks

Triggering webhooks during a dialog to pass collected context variables to external api endpoints.

#13 about 2 min

Creating cloud functions to handle webhook requests

Writing serverless code to process parameters from Watson Assistant and interact with database services.

#14 about 4 min

Integrating an assistant application with Jira software

Configuring Watson Assistant to automatically create issue tickets in Jira using REST API calls.

#15 about 5 min

Automating lead generation with HubSpot CRM integration

Collecting potential customer details through a chat flow and piping the data straight into your CRM tool.

#16 about 9 min

Audience Q&A on architecture and deployment use cases

Addressing questions about typical organizational scales, encryption settings, on-premise deployments, and sub-node complexity.

Matching moments

3:50 min

Powering workflows with connected and agentic AI

Christian Voigt Christian Voigt · World Congress 2026 Europe

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 · LIVE

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot · World Congress 2024

1:23 min

Developer adoption of integrated AI chat features

Julia Kasper · Coffee With Developers

2:21 min

Applying context engineering across the full software lifecycle

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

1:39 min

Live demo of AI chat interactions with ClickHouse

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

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