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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In From there, the actual digitization project can be implemented. “We

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Understanding Structured and Unstructured Data

Sisense

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

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Real estate CIOs drive deals with data

CIO Business Intelligence

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities. Data Management, Digital Transformation, Machine Learning

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

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FINRA CIO Steve Randich pushes the public cloud forward

CIO Business Intelligence

The CIO of a regulatory agency that reports to the US Securities and Exchange Commission — one of the biggest cloud consumers in the world — has made it his mission to help other CIOs — and Amazon Web Services itself — improve cloud computing.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.