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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

With more dependency on technology and third and fourth parties, expectations are increasing for organizations to continue delivering critical business services through a major disruption in a safe and secure manner. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

Cloud 83
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How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Understand your strategic drivers. Mitigating risk.

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ABBYY’s New FlexiCapture Platform Is Faster, More Powerful, and Runs Native in the Cloud

Info Source

The updated enterprise capture platform offers dramatically improved performance and higher processing speeds, continuous improvement through deeply integrated machine learning, and a brand new native cloud delivery channel. The platform is perfectly suited for any enterprises or organizations implementing a digital transformation strategy.

Cloud 45
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Modernizing mainframe applications with a boost from generative AI

IBM Big Data Hub

To achieve business agility and keep up with competitive challenges and customer demand, companies must absolutely modernize these applications. Instead of putting off change, leaders should seek new ways to accelerate digital transformation in their hybrid strategy. In many ways, this is a rather unfair predisposition. Transformation.

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Enterprise Architecture: Secrets to Success

erwin

Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., M&A, new markets, products and businesses). Emerging Markets : What opportunities align to our business (e.g., operating strategy, global business services and shared services)?

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

This creates self-contained code that can be run on any infrastructure, such as desktop, on-premises IT or cloud-native. Containers have grown more important as organizations need portable and resource-efficient technologies, becoming the de facto compute units of modern cloud-native applications.

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4 key metrics to know when monitoring microservices applications running on Kubernetes

IBM Big Data Hub

In this article, we will discuss why observing microservice applications on Kubernetes is crucial and several metrics that you should focus on as part of your observability strategy. Why should you observe microservice health running on Kubernetes and what are the Kubernetes metrics you should monitor?