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IBM and business partner bring intelligent equipment maintenance to automotive company with IBM Maximo

IBM Big Data Hub

(hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. This makes the client’s equipment repair work more efficient and improves the reliability of its equipment.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

This infrastructure model relies on a network of remote data centers , servers and storage systems owned and operated by a third-party service provider. A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet. While that allows easy access to users, and saves costs, the cloud is much more and beyond that. The pain point?

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Cambridge University Press, (2006). [2]

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A guide to efficient Oracle implementation

IBM Big Data Hub

Companies large and small are increasingly digitizing and managing vast troves of data. ERP systems like Oracle’s streamline business processes and reduce costs, leveraging information to help organizations make better decisions in rapidly changing landscapes. Will my organization choose an implementation partner?

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Cloudera + Hortonworks, from the Edge to AI

Cloudera

That team delivered the first production cluster in 2006 and continued to improve it in the years that followed. In 2008, I co-founded Cloudera with folks from Google, Facebook, and Yahoo to deliver a big data platform built on Hadoop to the enterprise market. It staffed up a team to drive Hadoop forward, and hired Doug.