University of Michigan partners with Cavium

Cavium and the University of Michigan have formed a partnership that will position U-M as a leader in data-intensive scientific research by creating a powerful Big Data computing cluster using dual socket servers powered by Cavium’s ThunderX ARMv8-A workload optimized processors.

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IBM expands Watson data platform

Provides foundation for secure and intelligent data sharing between business teams across public and private clouds.

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MapR delivers self-service data science

New MapR Data Science Refinery and its partners improve accuracy of insights, helping businesses make the right decisions in real time.

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BLOG

DataOps: What You Stand to Lose

The solution is to apply automation and self-service to delivery and operations in order to eliminate the data friction causing delays.By Iain Chidgey, VP and General Manager International, Delphix.

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NEWS

Monitoring fraud in real time

Leveraging Teradata’s Think Big Analytics consulting arm, Danske now employs advanced machine learning to detect sophisticated fraud in banking and mobile payments.

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Kx technology selected to power e-commerce AI platform for Scientific Revenue

Using Machine Learning and Applied Artificial Intelligence, Scientific Revenue’s platform analyses the behaviour of millions of users and applies machine learning techniques to increase revenue for its mobile gaming customers.

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74% of organisations acknowledge that data is a critical business priority, yet 80% still...
SodaStream, the world’s leading sparkling water-maker brand, is accelerating its digital...
For the first time in Europe, Nokia Scene Analytics solution is deployed by Baselland Transport AG...
Product release features key integrations and capabilities for enhanced data security and...
Atheon Analytics has moved its entire SKUtrak® database system from SQL Server to EXASOL, freeing...
Latest Video

How to Turn Data into Business Value

Marc Chemin, Global Insights & Data Consulting Leader, shares his view on how our clients can exploit big data and analytics to enhance organizational revenues, customer satisfaction and business processes.

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