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Marketing as a strategic business partner: mixing theory, research and #data

Jen Stirrup

I thought I’d share how we started to apply marketing theory, practice, and insights from data. Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). The secret is the data. Real never goes out of fashion.

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Huawei’s 20-year journey in Malaysia

CIO Business Intelligence

Huawei’s foray into the country began in 2001. Calls to bridge the digital divide have also become more urgent, especially to promote remote interactions and business activities, conducted through digital platforms and technologies. Huawei is fully committed to creating value for the communities and markets in which it operates.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

Whether driven by my score, or by their own firsthand experience, the doctors sent me straight to the neonatal intensive care ward, where I spent my first few days. And yet a number or category label that describes a human life is not only machine-readable data. Numbers like that typically mean a baby needs help.

Risk 355
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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?