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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Data integration: The key to AI-supported planning systems

Jedox

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

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How Have Global Fluctuations Changed Your Planning Process?

Jet Global

Financial planners suddenly found it imperative to strengthen the lines of communication with operations personnel to figure out jointly what operational steps should be taken, as well as how those measures would impact the organization’s working capital. Planners began to integrate functional and departmental plans into their own forecasts.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. IDC forecasts that global spending on private, dedicated cloud services — which includes hosted private cloud and dedicated cloud infrastructure as a service — will hit $20.4

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How CFOs Can Lead With Foresight

Jedox

The room for poor assumptions and missed forecasts shrank. Cloud scenario planning platforms can now capture financial data and sub-ledger transactions in real time to provide constant feedback on cost and revenue. Build for broad and deep data integration. This placed an acute spotlight on planning agility.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”.

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