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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). All these elements have a significant role in analytic projects.

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Three Critical Success Factors in Building an Analytic Enterprise

Decision Management Solutions

There are three critical success factors in becoming an analytic enterprise: Analytic Enterprises Put Business Decisions First The first critical success factor for analytic enterprises is keeping the focus on business results by beginning (and ending) with business decisions, not analytic technology.

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4 Brilliant Ways To Use Big Data To Boost Gmail Security

Smart Data Collective

Machine learning tools are able to understand the newest threats and use the latest algorithms to combat them, as Kaspersky Lab pointed out in a recent white paper. The good news is that new machine learning and predictive analytics technology is making it much more secure.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Becoming data-driven and automating with AI and machine learning (ML) algorithms can seem overwhelming. Dell Technologies Validated Designs for AI deliver compute, storage, and networking infrastructure based around proven AI expertise and validated by real-world customer success stories. Just starting out with analytics?

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Modern compute infrastructures are designed to enhance business agility and time to market by supporting workloads for databases and analytics, AI and machine learning (ML), high performance computing (HPC) and more. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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