Remove continuing-the-journey-to-an-enterprise-data-mesh
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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

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Data Mesh 101: How Data Mesh Can Be Used in an Organization

Ontotext

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Engage key stakeholders from the start.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Big Data Hub

Obviously, IBM has a huge stake in the success of AI with watsonx™, our AI and data platform with AI assistants. Enterprises continue to adopt edge, hybrid, and multicloud architectures with applications and data assets spread across public and private clouds while also supporting a remote, dynamic userbase.

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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Intermediates: Build on your successes and work to scale your IDB capabilities across the enterprise using agile and adaptive DevOps, DataOps, and ModelOps processes. .

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The battle of the personas in the world of enterprise applications—how IBM Hybrid Cloud Mesh and Red Hat Services Interconnect unify them

IBM Big Data Hub

Navigating the intricate realm of modern enterprise applications requires collaboration among diverse personas to effectively manage complexity. This helps with continuous business support through applications automating essential workflows. Traditionally, applications and their hosting infrastructure align with DevOps and CloudOps.

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What is Data Mesh ?

Octopai

Data mesh is an approach to data architecture that is intentionally distributed, where data is owned and governed by domain-specific teams who treat the data as a product to be consumed by other domain-specific teams. What are the principles behind data mesh architecture?

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

IBM Big Data Hub

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.