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Graph Data Science: Machine Learning’s Secret Sauce?

Neo4j’s Alicia Frame says graph technology’s ability to learn rapidly will take enterprise applicable machine learning to new heights.

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Getting your data analytics in order, no matter where your data lives

In order to survive and thrive in the “new normal” of 2020 almost all businesses have had to relook at their digital strategy in order to ensure they're able to keep pace with fluctuating consumer behaviour. By Paul Mackay, EMEA Cloud Lead at Cloudera.

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Data uses that deliver best benefits and return for retailers

An interview with Anthony Morris, ex Director of Data, Analytics and Insight at Dixons Carphone.

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Why retailers need to rethink analytics

Most non-essential shops and businesses are having to rethink their usual strategies to incorporate a higher level of customer and staff safety, and attempt to both claw back profits and make customers feel comfortable being back in stores. The Centre for Retail Research suggested that as of the end of June, UK retail losses totalled 49,790 jobs and 3,607 stores - and those retailers holding on will be hard-pressed to recoup the three months of lost revenue of what is normally a busy shopping...

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The new enterprise data dilemma

Data analytics and ML in a multi-cloud enterprise. By Vinay Wagh, Director of Product at Databricks.

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Gaining transparent and actionable insights through intelligent data fabrics

Aging data lakes, while popular in previous years through their promise of being able to provide an overview of useful business data, haven’t lived up to the expectations they were due to deliver. Instead they have struggled to provide the true visibility for transparent business decision making. By Joe Lichtenberg, Product and Industry Marketing, InterSystems.

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Exploratory Analytics with Dell EMC Elastic Data Platform

Learn more about transforming your organization with Data Analytics and the Elastic Data Platform.

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