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IBM Consulting AIOps for Incident Management

This demo video showcases how the IBM Consulting AIOps for Incident Management places an AI-powered assistant to work alongside your team to streamline your IT ticket resolution processes.

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Why IBM Cloud for Financial Services® matters

The IBM Payments Center® is delivered on the IBM Cloud for Financial Services, a public cloud that's built for trust and security. It is designed to address the requirements of financial…

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IBM Turbonomic Master Class: Managing multicloud sprawl and runaway costs with automation

A technical session where we deep dive into how to use IBM Turbonomic to better manage AWS, Azure, Google Cloud, Kubernetes and more.

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IBM watsonx at the Masters

IBM works with the Masters to design, develop, and deliver the digital experiences found in the Masters app and website. This year, IBM Consulting is using generative AI models developed with IBM…

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The Masters digital platform

The Masters digital infrastructure runs workloads across multiple clouds from multiple vendors. This “hybrid by design” architecture—enabled by Red Hat OpenShift—increases…

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What is Cloud-Native Application Protection Platforms (CNAPP)?

Cloud-Native Application Protection Platforms (CNAPP) provides a toolbox of cloud security services. In this video, Janet Van explains what CNAPP is and how it can help you manage the overall…

From  chq_master_librarians

Navigating Composable ERP

Many organizations today have in place a monolithic environment where all the capabilities they use are in a single system. What works better is an environment where they can implement the right tool…

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Accelerated, Gen AI powered Mainframe App Modernization with IBM watsonx Code Assistant for Z

Many of the top global enterprises and organizations run their mission critical workloads on IBM Z. Building off the recent announcement of IBM watsonx Code Assistant for Z, clients can now…

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Exercise 7: Monitor the model

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to use AI Factsheets in Cloud Pak for Data to track AI models in an organization.

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Exercise 6: Analyze the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to use AutoAI in Cloud Pak for Data to analyze data and create a model.

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Exercise 5: Prepare the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to use Data Refinery in Cloud Pak for Data to prepare data for analysis.

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Exercise 4: Govern the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to profile and protect data in Cloud Pak for Data.

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Data Governance and IBM Knowledge Catalog

This video provides an overview of how data governance is implemented in IBM Knowledge Catalog in IBM Cloud Pak for Data.

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Exercise 3: Collect the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to virtualize data in Cloud Pak for Data.

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Exercise 2: Create a project for analyzing data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to create a project in Cloud Pak for Data to use for analyzing data.

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Exercise 1: Explore the Cloud Pak for Data environment (v4.8)

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.8 course, and demonstrates how to navigate the Cloud Pak for Data user interface.

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