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An integrated asset management data platform

IBM Journey to AI blog

No single system can manage all the required information views to enable end-to-end optimization. The following figure demonstrates how a platform approach can integrate data flows. Asset data is the basis for the network. The asset management ecosystem The asset management network is complex.

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Dream properties at the touch of a button: Quant and Huawei in Saudi Arabia

AI News

Despite being one of the richest countries in the world, and the overwhelming preference of investors for the property market of the country over stocks, Saudi Arabia remained data-poor in the real-estate sector until relatively recently. But first we asked what his chosen data platform of choice was the basis on which the business runs.

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IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent

IBM Journey to AI blog

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. For more information about the IBM and AWS partnership, please visit www.ibm.com/aws. Visit us at AWS re:Invent in booth #930.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. For every traditional “model-centric” step (e.g.,

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Redefining the CDP: 8 Data-Driven Designs for Successful Customer Journeys

In this guide, discover 8 use cases for how a customer data platform can tackle common challenges faced by marketing, commerce, service, and sales teams.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

For every model development step in the modern journey of building AI applications, there is a critical but often underappreciated data development step, where the data that actually informs the model is selected, labeled, cleaned, shaped, and curated. For every traditional “model-centric” step (e.g.,

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.