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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

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How technology will define the future of UAE healthcare

CIO Business Intelligence

But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. The same goes for the adoption of data warehouse and business intelligence. The telecom sector prepares the data warehouse and business intelligence use cases even before they go live with their first customer.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

Return on assets measures the net profit generated per unit of asset, while return on equity (ROE) signifies the return on shareholders’ equity, indicating the efficiency of the company’s own capital. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

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The Role Of Data Warehousing In Your Business Intelligence Architecture

datapine

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

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How To Get Rid Of Your Data Silos in S&OP

Jedox

If they introduce a new software solution for a specific problem, data integration is often forgotten in that process. Educate your colleagues about the importance of integrating data. After all, their team also benefits from not having to deal with data exports on a regular basis.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. Learn more about IBM watsonx 1.