Predictive Maintenance and Machine Learning

January 25, 2019

Improve Expert Systems with Datawatch Predictive Maintenance analytics and machine learning Whether it be scheduled or unscheduled, the cost of downtime in manufacturing environments can be extremely costly to the business, often to the tune of millions of dollars annually. Unexpected downtime can significantly impact tangible and intangible operating costs. To mitigate risk associated with downtime, manufacturing operations often develop equipment maintenance calendars, servicing equipment regardless of whether it is needed, leading to higher than necessary overhead expenses. This doesn’t have to be the case. Advances in technology have enabled organizations to collect real-time data about how their equipment is operating. This data contains hidden indicators of future equipment failure. Using predictive analytics manufacturers can extract these hidden insights so they can choose to do maintenance when the risk becomes high.

Spotlight

Blue Guava - Predictive Analytics

Blue Guava helps enterprises take advantage of the power of advanced Predictive Analytics through real-time, enterprise-level solutions using best practice business, technology and analytical methodologies. We’re an incredibly results-driven organisation. In fact, our whole business model relies on our clients realising tangible results from our services. The field of advanced analytics has long been restricted to the realm of quantitative analysis and actuarial science in Insurance and Banking & Finance and has been beyond the reach of most organisations. The hype around Big Data is not going away anytime soon. The truth, however, is that there is an enormous amount of hidden value in the data that you already have. If you can’t currently extract this value out of your small data, how will you tackle this brave new world of exponential growth in data? Our mission is to “make advanced analytics more accessible” and to use your data to skyrocket your sales and growth. Every business ca

OTHER WHITEPAPERS
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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Hybrid Cloud and Data Analytics for Financial Services: Maturing the Model

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

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Data Architecture Series - The unified data fabric

whitePaper | September 8, 2022

Enterprises today have to contend with exponentially increasing volumes of batch and streaming data, comprising a variety of structured, unstructured, and semi structured data types, and originating from an expanding number of disparate sources located on-premises, in the cloud and at the edge.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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Building a data fabric for analytics with Tableau

whitePaper | September 6, 2022

Data is the heartbeat of the modern enterprise. Technology has progressed to the point that data-driven decision making is the norm and data literacy is often prized above all other skills.

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Dell Validated Design for Analytics — Data Lakehouse

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

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Spotlight

Blue Guava - Predictive Analytics

Blue Guava helps enterprises take advantage of the power of advanced Predictive Analytics through real-time, enterprise-level solutions using best practice business, technology and analytical methodologies. We’re an incredibly results-driven organisation. In fact, our whole business model relies on our clients realising tangible results from our services. The field of advanced analytics has long been restricted to the realm of quantitative analysis and actuarial science in Insurance and Banking & Finance and has been beyond the reach of most organisations. The hype around Big Data is not going away anytime soon. The truth, however, is that there is an enormous amount of hidden value in the data that you already have. If you can’t currently extract this value out of your small data, how will you tackle this brave new world of exponential growth in data? Our mission is to “make advanced analytics more accessible” and to use your data to skyrocket your sales and growth. Every business ca

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