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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Hidden tangled within this sea of data lie many insights, which can open up new opportunities for growth and revenue. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Hidden tangled within this sea of data lie many insights, which can open up new opportunities for growth and revenue. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications.

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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

Infor introduced its original AI and machine learning capabilities in 2017 in the form of Coleman, which uses its Infor AI/ML platform built on Amazon’s SageMaker to create predictive and prescriptive analytics. Optimize workflows by redesigning processes based on data-driven insights.

Finance 130
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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. .

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Disrupt and Innovate in a Data-Driven World

Cloudera

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.