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Decoding the future: unravelling the intricacies of Hybrid Cloud Mesh versus service mesh 

IBM Journey to AI blog

Hybrid Cloud Mesh, which is generally available now, is revolutionizing application connectivity across hybrid multicloud environments. Let’s draw a comparison between Hybrid Cloud Mesh and a typical service mesh to better understand the nuances of these essential components in the realm of modern enterprise connectivity.

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.” Let’s use address data as an example. How can organizations get a holistic view of data when it’s distributed across data silos?

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Maximizing business outcomes and scaling AI adoption with a Hybrid by design approach 

IBM Journey to AI blog

For established businesses, the debate is settled: a hybrid cloud approach is the right strategic choice. However, while embracing hybrid cloud might be intrinsic, clients continually seek to derive business value and higher return on investment (ROI) from their investments. What does a Hybrid by design approach involve?

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning Blog

As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations in a multicloud environment. We train the model using Amazon SageMaker, store the model artifacts in Amazon Simple Storage Service (Amazon S3), and deploy and run the model in Azure.

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What is cloud cost optimization?

IBM Journey to AI blog

It can be hard to monitor metrics and compare data when using multiple cloud vendors with different dashboards, and overspending can be easy. Whether you use IBM Cloud, Amazon AWS, Google Cloud, Microsoft Azure or some combination of platforms, it’s essential to understand, evaluate and optimize what you spend on cloud operations.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Journey to AI blog

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Why move to cloud?

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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Just one of these problems can prove costly to an organization.