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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Forecasting is another critical component of effective inventory management. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue.

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Achieving Trusted AI in Manufacturing

Cloudera

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Manufacturers now have unprecedented capacity to collect, utilize, and manage massive amounts of data. Eliminate data silos.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

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PepsiCo transforms for the digital era

CIO Business Intelligence

PepsiCo’s migration to the cloud has paid off in in many ways, Kanioura says — in speed, flexibility, and agility, reducing on-demand forecasting from weeks to days or hours, and in feeding its supply chain more accurately and frequently. “We We expect within the next three years, the majority of our applications will be moved to the cloud.”

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Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. With this cluster design, we can get the hourly workload resource usage forecast.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. New data scientists can then be onboarded more easily and efficiently.