Learn the difference between simple chatbots and cognitive assistants, using the Simon space station bot as a real-world example of Watson Assistant.
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.
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.
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.
Customize the appearance of the web chat UI and embed the generated JavaScript snippet into your website to deploy the assistant.
Use webhooks to call an external API from your assistant, leveraging serverless IBM Cloud Functions to create and retrieve records from a database.
Integrate Watson Assistant with Jira Software by using a webhook to send user-reported issues directly to a Jira project via its REST API.
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.
Explore answers to common questions about Watson Assistant, including pricing models, on-premises deployment, SDK availability, and handling rich media.
45:58Andreas Christian
30:59Lee Boonstra
55:27Xavier Portilla Edo
31:39Rainer Stropek
56:33Akmal Chaudhri
58:06Anna Fritsch-Weninger
1:09:49Simi Olabisi
32:28Hugo Guerrero
Jobs that call for the skills explored in this talk.
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