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ContributorsData NativesMachine LearningMarketing & SalesTech TrendsUnderstanding Big Data

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains

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Big DataContributorsFeaturedUnderstanding Big Data

Organizations yearn order and simplicity over chaos and confusion, but the data-driven era we live in challenges these desires on a daily basis. Seemingly every day, massive amounts of transactional and streaming data is being introduced into enterprises. This data must be collected, deciphered, shared, and acted upon. Cloud-native technologies

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedMachine Learning

With the help of a use case, Dr Patrick Vetter, Head of Competence Center Data Science at Supper and Supper GMBH explains how a deep learning methodology can locate and segment wind turbines on satellite imagery. As a pioneer in fighting global climate change, Germany is increasingly investing in renewable

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Artificial IntelligenceContributorsData NativesMachine Learning

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The research design of this “crystal ball” can also be applied to tackling a variety of other problems. Supervised learning — the most developed form of Machine

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ContributorsFeaturedTech TrendsTechnology & IT

There is nothing that turns off users as much as bad UX. Your mobile app should provide a seamless user experience if you want it to be one of the most successful apps. Everything from the moment your users download the app to the moment they check out needs to

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BlockchainContributorsFeatured

The explosion in renewable energy projects on blockchain is already promising—there are 122 startups operating in the space, with nearly half launching since 2017. More impressively, these startups have raised over $320 billion between the second quarter of 2017 and the first of 2018. Electricity is undoubtedly one of the

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedHealthcare

The data necessary to account for every aspect of our human complexity poses significant challenges to health AI systems. There’s certainly no way around data science to get a hold of it – but don’t you count physicians out too soon! Precision Medicine bears the promise to bring highly individualized

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedUnderstanding Big Data

The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably,

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Artificial IntelligenceBI & AnalyticsContributorsFeatured

In today’s IT world, everything is about being fast, flexible and efficient. We work agile, build prototypes and use fast-scaling adoptive cloud infrastructure. At the same time, the advances in the fields of AI and machine learning seem to make a business world possible, in which many tasks are optimized

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BlockchainContributorsFeaturedInternet of Things

Internet of things or IoT has become one of the most influential technologies, currently connecting more than 23 billion devices. This number is expected to reach 30 billion by 2020 and more than 60 billion by 2024. But the future of this technology is largely debatable, considering that it’s plagued

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