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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.

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Agile Technology and Big Data Improve the State of Cybersecurity

Smart Data Collective

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. However, Agile technology defies this rule of thumb, especially when developers leverage big data effectively.

Big Data 110
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Different Types of Cloud-based Services

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. By 2025, 83% of enterprise workloads will be in the cloud. According to the IDC report, the world will spend $160 billion on cloud services and infrastructure in 2018. Introduction Cloud computing is one of the fastest-growing IT technologies today.

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2018 Call for Code Winner Project OWL advances its natural disaster communication network

IBM Big Data Hub

Aerospace enterprises face a similar challenge when trying to run consistent high-altitude connectivity while operating in remote locations, which can also be very expensive. OWL can help enterprises control their applications with a resilient network floating above our heads. We are now one step closer to making that vision a reality.

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Big Data Insights Show Surprising Impact of Diversity on Likelihood of Successful Ransomware Attacks

Smart Data Collective

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. The ransomware explosion.

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Hybrid use cases to dominate machine learning in 2018, part 1

IBM Big Data Hub

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.

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Hybrid use cases to dominate machine learning in 2018, part 2

IBM Big Data Hub

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.