Reinventing the Data Warehouse

When it comes to managing today’s data and how it is used, current data warehousing solutions simply can’t keep up. Based on assumptions and technologies from decades ago, conventional data warehouses are ill-equipped.It used to be the case that most of the data you wanted to analyze came from sources in your data center: transactional systems, enterprise resource planning (ERP) applications, customer relationship management (CRM) applications, and the like. The structure, volume, and rate of the data were all fairly predictable and well known.

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Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

OTHER WHITEPAPERS
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Big Data, OEE and SPC

whitePaper | November 20, 2018

More and more companies are implementing big data solutions. At the same time companies are also implementing OEE, SPC and Six Sigma projects to continuously improve their processes. If these two developments are integrated, then a tremendously powerful solution emerges which will bring benefits to any continuous improvement process. In this whitepaper we will explain how big data solutions, OEE and SPC are already integrated by DataLyzer

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Extending Analytical BI with a GPU Database

whitePaper | June 20, 2018

This white paper explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology. Some GPU databases offer extreme performance with fewer limits than traditional solutions. Ultimately, adopting GPUs and GPU databases to further your analytics capabilities and empowering your team will help you be more productive, and gain real insights into your biggest assets - your data.Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. The term ‘Big Data’ is becoming obsolete as we face data stores of massive new proportions.

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Mastering Machine Learning

whitePaper | April 18, 2018

This ebook builds on Machine Learning with MATLAB, which reviewed machine learning basics and introduced supervised and unsupervised techniques. Using a heart sounds classifier as an example, we take you through the complete workflow for developing a real-world machine learning application, from loading data to deploying a trained model. For each training phase, we demonstrate the techniques that are critical to achieving accurate models, and help you master the more challenging training tasks, including selecting algorithms, optimizing model parameters, and avoiding overfitting. In this ebook you’ll also learn how to turn a model into a predictive tool by training it on new data, extracting features, and generating code for deployment on an embedded device.

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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Optimal Strategy for Deploying Big Data Technologies

whitePaper |

Due to the disparate nature of data, analytics, and technology in different organizations, the optimal big data deployment strategy may differ for every organization. This paper will enable decision makers to adopt a comprehensive approach while deploying big data technologies and processes in their organizations.

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Preparing the healthcare workforce to deliver the digital future

whitePaper | January 16, 2019

As people live longer, but also with more long-term conditions, there is an inexorable increase in the demand for healthcare. The workforce is also changing: millennials have new expectations and most people seek a good work-life balance through flexible careers. The NHS Long Term Plan identifies the need for more healthcare workers to respond to this increasing demand. Digital healthcare technologies, defined here as genomics, digital medicine, artificial intelligence (AI) and robotics, should not just be seen as increasing costs, but rather as a new means of addressing the big healthcare challenges of the 21st century.

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Spotlight

Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

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