Remove how-do-you-design-new-data-architectures
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How Do You Design New Data Architectures?

Data Virtualization

Organizations are rethinking their current data architectures. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time. Unfortunately, the majority considers it a challenge. This article.

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. We built that end-to-end data model and process from scratch while we ran the old business. The architecture was a means to get there. Today, we’re a $1.6

Modeling 107
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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients).

Strategy 289
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? That’s exactly what Google, Amazon, and Meta are doing today. Attention is all you need What is the source of big tech market power?

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How to become an AI+ enterprise

IBM Big Data Hub

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. Consider the following: Do you need a public foundation model? Should you build your own? times higher ROI.

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8 questions CIOs should ask to prime their business for gen AI

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. So leaders will need to radically re-think how work gets done. So, what can CIOs do now? In other words, what architecture best ensures model outputs are relevant, reliable, and usable.