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Leopard Spots and Zebra Stripes: Big Data and Identity Management

Thales Cloud Protection & Licensing

In this age of big data, the concept is fitting, because this kind of information is increasingly being used to identify individuals and even machines. In the following, I focus on the analytics component, how it is increasingly used across enterprises, and why it is important to protect big data. Big Data Analytics.

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Supply chain visibility in the energy and utilities industry

IBM Big Data Hub

See IBM MRO IO in action by reading about how Shell and IBM jointly developed and launched Oren, a global B2B mining services marketplace platform to gain more productivity in the $190 billion mining industry.

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NEW TECH: LogicHub introduces ‘virtualized’ security analysts to help elevate SOAR

The Last Watchdog

Rising implementations of cloud services and IoT systems, not to mention the arrival of 5G, has quickened the pace of software development and multiplied data handling complexities. In this milieu, even well-defended enterprises continue to suffer catastrophic data breaches. Just ask Capital One , Marriott or Equifax.

Security 159
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Improving supply chain resiliency in the industrial sector

IBM Big Data Hub

See IBM MRO IO in action by reading about how Shell and IBM ​jointly developed and launched Oren, a global B2B mining services marketplace platform to gain more productivity in the $190 billion mining industry.

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Financial Services Data – More at risk than you’d believe

Thales Cloud Protection & Licensing

I don’t know about you, but the prospect of my bank, IRA or 401K provider, loan servicer or other financial institution losing my data twice over the next three years is daunting. Another “canary in the coal mine” episode showcasing this trend happened just last week, with a sizeable breach of HSBC U.S. banking customers.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103
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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle.