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Real estate CIOs drive deals with data

CIO Business Intelligence

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. Augmenting real estate relationships with data Keller Williams, another leading residential player, also kicked off its digital transformation roughly seven years ago.

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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. Are data architects in demand? Data architects are in strong demand.

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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

The first is the new digital opportunities. All of the statistics from IDC and the others show that there’s a massive market for digital services. 87% of CEOs say that they’re ready to invest more in digital business and services. The next area is data. There’s a huge disruption around data.

Data Lake 105
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Belcorp reimagines R&D with AI

CIO Business Intelligence

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.” Reimagine business processes.

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Data Champions: Balancing IT and Business Needs

Cloudera

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. Underlying digital transformation and investment decisions is a precious asset: data.

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Unilever leverages ChatGPT to deliver business value

CIO Business Intelligence

“The local team can be activated very quickly, ingest the data very quickly, and then create a statistical model and analytics model together with the business, sitting next to each other. Artificial Intelligence, Digital Transformation

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

The purpose of this step is to understand our data quality statistics at the table level as well as at the ruleset level. Use the queries in this section to analyze your data quality metrics and create an Athena view to use to build a QuickSight dashboard in the next step.