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Big Data AND Consumer Anthropology

Michael Roberto

We shouldn't be choosing between leveraging big data to make decisions vs. conducting in-depth qualitiative research about our customers. As market researcher and Kellogg Professor Gina Fong states, "“Big data’s having a real moment right now. We should be using both methodologies, as they are often quite complementary.

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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

Although there are traditional methods such as studying hospital records or looking at investigation reports, these aren’t much help for prediction and can be painfully slow and unable to help us quickly coordinate a response. Recent advances in data science have led to the emergence of outbreak analytics.

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Unlocking Innovation with Data, Creativity, and Automation

Tullio Siragusa

Unlocking Innovation with Data, Creativity, and Automation. For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success.

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Journal Article: Big Data in Innovation Management

ITONICS

Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. The subsequent case study uses two sets of data to show how the environmental scanning system can be applied to find emerging trends.

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Journal Article: Big Data in Innovation Management

ITONICS

Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. The subsequent case study uses two sets of data to show how the environmental scanning system can be applied to find emerging trends.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

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