Felix Augenstein
Integrate your Cognitive Assistant with 3rd-party DBs and software
#1about 5 minutes
Understanding cognitive assistants and IBM Watson
Learn the difference between simple chatbots and cognitive assistants, using the Simon space station bot as a real-world example of Watson Assistant.
#2about 3 minutes
Exploring Watson Assistant features and deployment options
Discover the core capabilities of Watson Assistant, including its 24/7 availability, multi-channel support, and flexible deployment on public cloud, private cloud, or on-premises.
#3about 5 minutes
Creating a Watson Assistant service on IBM Cloud
Follow a step-by-step guide to navigate the IBM Cloud dashboard, create a new Watson Assistant service instance, and select the appropriate pricing plan.
#4about 10 minutes
Building a dialogue skill with intents, entities, and nodes
Define user goals with intents, capture specific details with entities, and structure the conversation flow using dialogue nodes and slots in a practical bike shop example.
#5about 4 minutes
Deploying your assistant with the web chat integration
Customize the appearance of the web chat UI and embed the generated JavaScript snippet into your website to deploy the assistant.
#6about 6 minutes
Connecting to a database with webhooks and cloud functions
Use webhooks to call an external API from your assistant, leveraging serverless IBM Cloud Functions to create and retrieve records from a database.
#7about 3 minutes
Creating Jira issues directly from your assistant
Integrate Watson Assistant with Jira Software by using a webhook to send user-reported issues directly to a Jira project via its REST API.
#8about 4 minutes
Adding new contacts to HubSpot CRM via the assistant
Automate lead capture by connecting your assistant to HubSpot CRM, allowing users to submit their contact information which is then added to your CRM system.
#9about 8 minutes
Audience Q&A on use cases, pricing, and deployment
Explore answers to common questions about Watson Assistant, including pricing models, on-premises deployment, SDK availability, and handling rich media.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
02:20 MIN
Using AI for a conversational developer experience
Platform Engineering untold truths: is just an infrastructure matter?
02:14 MIN
A practical example of an AI collaboration assistant
Breaking Silos: Successful Collaboration Between Tech & Business Teams in Complex Enterprise Systems
08:39 MIN
Demo of an enterprise assistant for integrated systems
Creating Industry ready solutions with LLM Models
03:51 MIN
The diverse ways AI assists developers today
Developer Productivity Using AI Tools and Services - Ryan J Salva
06:09 MIN
Using AI to enhance the employee experience
Is HR dead? The Bold Future of HR Tech
10:13 MIN
Practical applications, integrations, and adoption strategies
Creating bots with Dialogflow CX
01:52 MIN
Understanding AI agents as collaborative assistants
Designing the Future of Human<>Agent Collaboration
02:13 MIN
Applying AI across the software development lifecycle
Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure
Featured Partners
Related Videos
Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization
Andreas Christian
Raise your voice!
Lee Boonstra
Creating bots with Dialogflow CX
Xavier Portilla Edo
OpenAI for FinTech: Building a Stock Market Advisor Chatbot
Akmal Chaudhri
Building APIs in the AI Era
Hugo Guerrero
From Syntax to Singularity: AI’s Impact on Developer Roles
Anna Fritsch-Weninger
Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More
Simi Olabisi
Alibaba Big Data and Machine Learning Technology
Dr. Qiyang Duan
Related Articles
View all articles



From learning to earning
Jobs that call for the skills explored in this talk.

doinstruct Software GmbH
Berlin, Germany
Intermediate
Senior
Node.js

Commerz Direktservice GmbH
Duisburg, Germany
Intermediate
Senior


Speech Processing Solutions
Vienna, Austria
Intermediate
CSS
HTML
JavaScript
TypeScript



Reply Deutschland SE
Gütersloh, Germany
Intermediate
Senior
Python
Angular
JavaScript
TypeScript

