In this special guest feature, Barry Bolding, Senior VP and Chief Strategy Officer at Cray Inc., discusses a highly germaine topic for many enterprises today: the intersection of big data and high performance computing.
Magnitogorsk Iron and Steel Works (MMK), Russia’s third largest steel works, is to save more than £3 million in steelmaking costs by using a machine learning and big data analytics service from Yandex Data Factory.
In this special guest feature, Terry Kline, CIO of International Truck, Navistar’s commercial truck brand, discusses the overarching best practices that have enabled his company to drive strong business value from data and analytics.
ServiceChannel, the leading SaaS service automation platform for facilities managers and contractors, today further expanded its analytics and business intelligence offerings provide greater transparency and operational visibility to its customers.
IBM (NYSE: IBM) announced a new IBM Cloud-based service to help automakers turn driver and vehicle data into actionable insights for predictive vehicle maintenance, real-time diagnostics on engine trouble,and to guide drivers to the most efficient traffic routes.
In this special guest feature, Rob Patterson, Vice President, Product Marketing at PTC, posits that as manufacturing organizations hone in on their IoT strategy, data’s critical role within that strategy should be top of mind and central to decision making around how the IoT will affect their business going forward.
In this special guest feature, Steve Stover, VP of Marketing and Product Management for Predixion Software shares his thoughts about what is the best path for realizing the potential of IoT.
The data lake (see Part 1 of this two part series) is a facilitator of another new movement in the big data industry – the Industrial Internet, a term coined by General Electric that refers to the integration of complex physical machinery with networked sensors and software.
This article is the fifth and last in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.
This article is the fourth in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.