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BI & Analytics

Big Data and analytics go hand-in-hand. New and improved tools allow vast data sets to be finessed, and previously unmanageable data structures to be tamed.

BI & AnalyticsBig DataData NativesData ScienceData Science 101Featured

Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a stack is a data area or buffer used for storing requests that need to be handled.” And what’s inside that data stack? It’s not just

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Artificial IntelligenceBI & AnalyticsBig DataData NativesData ScienceData Science 101EventsFeaturedInternet of ThingsMachine LearningNewsStartupsUnderstanding Big Data

The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual

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Artificial IntelligenceBI & AnalyticsCase StudiesEducationFeatured

BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.  So, why

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Artificial IntelligenceBI & AnalyticsContributorsData ScienceFeatured

As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis.  The

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Artificial IntelligenceBI & AnalyticsBig DataData ScienceEducationFeatured

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

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BI & AnalyticsFeaturedTechnology & IT

Technology companies are under huge pressure to deliver faster and better experiences, so it’s not surprising that focus is centered on the front end of systems. With slick, friction-free services vital to outshine competitors in an ever-evolving market, backstage mechanics are often seen as a lower priority. The trouble is

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Artificial IntelligenceBI & AnalyticsBig DataData ScienceFeaturedMachine LearningNewsStartupsTech TrendsTechnology & IT

The global COVID-19 pandemic has generated a wide variety of responses from citizens, governments, charities, organizations, and the startup community worldwide. At the time of writing, the number of confirmed cases has now exceeded 1,000,000, affecting 204 countries and territories. From mandated lockdowns to applauding health workers from balconies, a

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Artificial IntelligenceBI & AnalyticsBig DataData ScienceData Science 101FeaturedHealthcareNewsStartupsTech TrendsTechnology & IT

In just one day, the HackCorona initiative gathered over 1700 people and 300 selected hackers came up with 23 digital solutions to help the world fight the COVID-19 outbreak during the 48-hour long virtual hackathon by Data Natives and Hacking Health. Here are the results. HackCorona was created on March 17th

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Artificial IntelligenceBI & AnalyticsMachine Learning

Our misguided perceptions of AI confuse the vital public debate about AI’s role in society by mitigating its severity and exaggerating its impact. Artificial Intelligence is sexy.  It’s been able to translate between languages, recommend us new TV shows to watch, and beat humans at everything from Go to Jeopardy. 

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Artificial IntelligenceBI & AnalyticsBig DataData ScienceData Science 101Featured

The models you create have real-world applications that affect how your colleagues do their jobs. That means they need to understand what you’ve created, how it works, and what its limitations are. They can’t do any of these things if it’s all one big mystery they don’t understand. “I’m afraid

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