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- GPU Technology for Real-Time Analytics on Large and Streaming Datasets Summary
Amit Vij, CEO of Kinetica, tells Ron Powell, independent expert and analyst, why GPU technology is so important for business intelligence and analytics.
by Ron Powell - Exploring the Possibilities: Insights from Gartner Data & Analytics Summit Summary
Ron Powell recaps highlights from the recent Gartner Data & Analytics Summit.
by Ron Powell - Manage Data to Drive Action for Analytics Summary
In this article, Rob Armstrong, data and analytic enthusiast for Teradata, talks with Ron Powell about The Analytics of Things and how companies can make data actionable.
by Ron Powell - Teradata Everywhere: All the Deployment Choices for Customer Success Summary
In this article, Alan Greenspan, product marketing manager at Teradata, shares with Ron Powell the customer benefits of Teradata Everywhere.
by Ron Powell - Analytics of Things: Bigger than Big Data Summary
Ron Powell, independent analyst and expert with the BeyeNETWORK and the Business Analytics Collaborative, interviews Dan Graham, director of technology marketing for Teradata. They discuss how the analysis of sensor data is poised to change the way we live and work.
by Ron Powell - Applying Analytics to Sensor Data Summary
In this article, Chad Meley, vice president of product and solutions marketing for Teradata, talks with Ron Powell about the Internet of things and Teradata's accelerators.
by Ron Powell - Teradata Customers Embrace the Cloud Summary
In this article, Brian Wood, Teradata's director of cloud marketing, talks with Ron Powell, independent analyst and expert, about how Teradata customers are taking advantage of Teradata Everywhere by moving workloads to the cloud.
by Ron Powell - The Transition from Finance to Analytics Summary
Roger Fried, senior data scientist of the Aster Strategy and Adoption Team at Teradata, explains to Ron Powell why data science is a team sport that requires IT, business and data scientists to work together to achieve analytics success.
by Ron Powell
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Editors' Picks:
- A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools Summary
The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process. - Sports data analytics isn't always a slam dunk Summary
The growing trend of analytics in sports has caused much debate, and even though data-driven decisions can provide some benefits, they're not right for all occasions. - Visualized data aids in building, updating predictive models Summary
Data scientists at Capital One and BuildingIQ use data visualizations to help guide their efforts in developing, training and modifying predictive models for use in advanced analytics applications.
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This report from Wayne Eckerson researches self-service business intelligence and provides 10 best practices, everything you need to know about casual and business users, and the realities of self-service BI.
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