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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

“We use the peer-to-peer computing of CPUs, GPUs, and NPUs to enable the multi-active data center to run efficiently, just like a computer,” Mr. Cao told the conference. The distributed architecture now outperforms the original core host platform, notably with lower latency. Huawei’s new Data Intelligence Solution 3.0

Finance 98
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Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

“We use the peer-to-peer computing of CPUs, GPUs, and NPUs to enable the multi-active data center to run efficiently, just like a computer,” Mr. Cao told the conference. The distributed architecture now outperforms the original core host platform, notably with lower latency. Huawei’s new Data Intelligence Solution 3.0

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Through the Looking Glass: Suspending Judgement on Synthetic Data

TDAN

In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] 1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location.

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SAP enhances Datasphere and SAC for AI-driven transformation

CIO Business Intelligence

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

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How Novo Nordisk built distributed data governance and control at scale

AWS Big Data

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. This will include how to configure Okta, AWS Lake Formation , and a business intelligence tool to enable SAML-based federated use of Athena for an enterprise BI activity.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.