Upcoming events

Have Watson Chatbot Answer the Phone

December 7, 2020

In this workshop, you learn how to instantiate and manage a Voice Agent based on IBM technologies. Chatbots are increasingly popular but cannot be accessed without a computer or a smart phone. How can you enable people with a simple phone to access automated agents ? If you are looking to add a phone channel to your conversational agents, come and participate to this workshop.

Introduction to IBM Hybrid Cloud Technologies

December 8, 2020

This workshop helps you learn to work with hybrid clouds and container technologies including Docker, Kubernetes, Helm and OpenShift across different private and public clouds. Participants will use Open source solutions, IBM technologies to learn how to build hybrid cloud applications based on containers.

Introduction to IBM Events Streams (Kafka) with Cloud Pak for Integration

December 9, 2020

IBM Event Streams is is a high-throughput message bus, a fully managed service built with the open source Apache Kafka project. It is available as part of the Cloud Pak for Integration. Event Streams is optimized for event ingestion into event stream distribution between your services and applications. Event Streams supports all of the Kafka APIs including Kafka Streams and Kafka Connect. It leverages the availability zone support from the Kubernetes Service to ensure that in an unlikely event of an entire zone being unavailable, your applications will continue to work uninterrupted.

IBM Hybrid Cloud Implementation

December 10, 2020

This workshop is a follow on to Introduction to IBM Hybrid Cloud Technologies. Today, we will focus on Hybrid clouds, IBM Cloud Paks, multi-cloud management, DevOps and pertaining implementation.

Data Virtualization with Cloud Pak for Data

December 11, 2020

This workshop helps to gain understanding of Data Virtualization, one of the IBM Cloud Pak for Data's key capabilities. Learn how to make your data ready for an AI and multicloud world with the IBM Cloud Pak for Data platform - an open and extensible platform that runs on any cloud. During this 3-hour instructor led workshop, you'll gain experience with the Data Virtualization capability of Cloud Pak for Data. You will learn how to view, access, manipulate and analyze data without the need to know or understand its physical format or location through Data Virtualization.

Data Governance with Cloud Pak for Data

December 15, 2020

During this 3-hour instructor led workshop, you'll gain experience with the data governance capability of Cloud Pak for Data. You will learn how to make your data ready for an AI and multicloud world with the IBM Cloud Pak for Data platform - an open and extensible platform that runs on any cloud. You will discover how this platform can accelerate your journey to AI to transform how your business operates.

Cloud Pak for Automation Overview

December 17, 2020

In this session, you 'll learn how the IBM Automation Platform for Digital Business can help transform the way you handle your content and processes. The IBM Automation Platform for Digital Business is an integrated platform of five automation capabilities that assist business people drive virtually all types of automation projects at speed and scale from highly repetitive and administrative to more personalized, expert-level work.

Data Science Practical Use Case with Watson Studio on Cloud

December 18, 2020

A practical use-case implementation where we show how to infuse Data Science and AI into a business application using Watson Studio, Cognos embedded dashboarding, Watson Machine Learning and AutoAI. In this workshop, you will go through an end-to-end scenario where Data Science and AI technology will be applied to enhance an application.

Data Operations with Watson Machine Learning and AutoAI

December 22, 2020

This webinar will give the participant an understanding and practical experience of DataOps capabilities provided by Watson AutoAI and Watson Machine Learning. AutoAI and Watson Machine Learning are part of Watson Studio's DataOps services, providing automated Machine Learning pipeline composition and deployment.