Big Data Applications

Humans vs. Robots vs. Robots vs. Humans: Part 2 (Cybersecurity, AI, and Human Rights)

Our last month’s edition of the Dataspace newsletter looked at the growing applications of AI for cybersecurity, and explored how some of the major players in tech are incorporating AI based security tools into the suite of products they offer to business clients. However, it is also important to note that hacking can present a […]

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Is AI Coming For Your Job?

Probably not, yet. While Dataspace can’t do anything to help with your anxiety about election data, we can provide some relief from another trending anxiety-inducer: the fear that AI is coming for your job. Don’t worry. In a lot of areas AI is just not ready to make human workers redundant. Exhibit A: Live Sports

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Will Covid Break Data Science?

Data Science / Predictive Analytics / Artificial Intelligence Is Largely About Extrapolation At its heart, predictive analytics is about making educated guesses regarding the future based on things you know about the past. Thus, the field assumes that the future will work like the past did. But, what if the future doesn’t look anything like the past?

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Kafka: What Is it?

If nothing else, the data science industry is good at coming up with new, unique, confusing names and terms. ZooKeeper, MapReduce, Hadoop, Pig, Storm, Mahout MongoDB…the list keeps growing and it’s totally understandable if you can’t always identify or explain the different technologies and tools of the industry.     In each article in this series we

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image shows a chatbot on a smart phone: artificial intelligence for insurance

Artificial intelligence & insurance: how AI is changing the industry

Any serious conversation about the future of data and analytics invariably turns to the topic of artificial intelligence.  The past year has seen AI surge in popularity, with high profile corporations and personalities getting behind what many people believe could be the biggest technological watershed moment since the advent of the internet. Indeed, many companies

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