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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

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.

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Digital transformation: nei progetti a tutto campo la chiave è il change management

CIO Business Intelligence

Credo che il change management sia un tema fondamentale, che ogni CIO deve gestire”, afferma Andrea Roero, Chief information officer di Molteni, gruppo di aziende dell’arredo di design Made in Italy. Dal 2000 l’azienda è una spa, con il Comune di Roma come unico socio.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. technologies.

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Achieving Trusted AI in Manufacturing

Cloudera

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

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Snowflake: Data Ingestion Using Snowpipe and AWS Glue

BizAcuity

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

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