Sat.Jun 10, 2017 - Fri.Jun 16, 2017

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Big Data Is Revolutionizing The Way We Develop Life-Saving Medicine

Dataconomy

Big data sets are so complex and large that common data processing tools and technologies cannot cope with them. The process of inspection of such data and uncovering patterns is called big data analytics. The basic question which arises in our mind is, “In what way is the drug discovery. The post Big Data Is Revolutionizing The Way We Develop Life-Saving Medicine appeared first on Dataconomy.

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How to get Business Insights from Artificial Intelligence (when you really need them)

Dataconomy

This article is part of a media partnership with Data Analytics and Behavioural Science Applied to Retail and Consumer Markets conference, an event featuring high quality case studies, networking sessions and discussions full of insights on the Retail and Consumer Markets. It takes place June 28 at Millennium Hotel Mayfair, London. To learn more. The post How to get Business Insights from Artificial Intelligence (when you really need them) appeared first on Dataconomy.

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Preventing Fraud and Saving Costs with Machine Learning

Dataconomy

Whilst most businesses don’t earn revenue by processing data, they do spend a large amount of their hard earned revenue in manually processing data, validating it and ultimately performing manual tasks that don’t scale. But at what point does this manual involvement become a burden of cost upon your business? The post Preventing Fraud and Saving Costs with Machine Learning appeared first on Dataconomy.

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The Data Ecosystem: Taking a Cloud-First approach to IT

Dataconomy

The amount of data that businesses create continues to grow; at the same time, more of it is slipping out of our central data centres and into a mix of Cloud applications, mobile endpoints and remote or branch office file servers. But how can companies keep track of all this. The post The Data Ecosystem: Taking a Cloud-First approach to IT appeared first on Dataconomy.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?