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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of. The post Data Analytics for Crypto Casinos: Significance and Challenges appeared first on BizAcuity Solutions Pvt.

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Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Big Data Hub

That’s where the next problem lies: omics data analysis and interpretation, including sequence alignment, assembly and variant discovery, are computationally intensive tasks required for interpretation and other downstream analysis and thus are of importance to guarantee overall accuracy.

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value. Even physical assets can be monetized this way.

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Habib Bank manages data at scale with Cloudera Data Platform

Cloudera

The architecture of data lake was designed keeping in mind reliability, security, high performance and robust data structures which can fulfill current and future business needs. The bank will be able to secure, manage, and analyse huge volumes of structured and unstructured data, with the analytic tool of their choice. .

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DataOps For Business Analytics Teams

DataKitchen

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. Is the team fully productive?

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. Al needs machine learning (ML), ML needs data science.