Remove Analysis Remove Mining Remove Security Remove Unstructured data
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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 secureunstructured 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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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. The “Art of the Possible” for the End-state. The opening lyrics are “One has no rules / Is not precise.” e-Discovery.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

DaaS is an intelligent, cloud-based, multi-tenant offering for data processing, data storage and data analysis. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads.

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What Is Our Professional Future?

Brandeis Records Manager

Like most people, I prefer to have a reasonable sense of job security, as long as my interest is engaged. We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections.