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MY TAKE: The no. 1 reason ransomware attacks persist: companies overlook ‘unstructured data’

The Last Watchdog

All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secure “unstructured data.”. One reason for the enduring waves of ransomware is that unstructured data is easy for hackers to locate and simple for them to encrypt. A few takeaways: Outside a database.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

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New study looks at the top trends in data mining and analytics

Information Management Resources

Data mining can help enterprises identify anomalies, patterns, and correlations within large unstructured data sets to predict business outcomes.

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Insight is the new GOLD

OpenText Information Management

But the reality is that the challenges my children will face will be vastly bigger than mine. Like the Jaguar TCS Racing Team, more and more customers are asking OpenText how to collect their structured and unstructured data to analyze the performance of their digital products or services and the customer's sentiment.

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Release 16 EP5 gives Magellan more text mining power and better user experience

OpenText Information Management

In fact, by some estimates nearly 80% of all enterprise information is unstructured data, such as documents, web content, or social media. That’s … The post Release 16 EP5 gives Magellan more text mining power and better user experience appeared first on OpenText Blogs.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.