Remove Internet of Things Remove Modeling Remove OLAP
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The Enterprise AI Revolution Starts with BI

Jet Global

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Thankfully, with widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

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The Future of AI in the Enterprise

Jet Global

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. It helps you build, train, and deploy models consuming the data from repositories in the data hub.

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The Future of AI in the Enterprise

Jet Global

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

Security and access control assessment – This includes reviewing the existing security model, including user roles, permissions, access controls, data retention policies, and any compliance requirements and industry regulations that need to be adhered to. The data warehouse is highly business critical with minimal allowable downtime.