Business Intelligence, Big Data Management, Data Visualization

Data Governance Is Valuable Moving to an Offensive Strategy

October 20, 2022

Data Governance Is Valuable Moving to an Offensive Strategy
Data governance defines how data should be gathered and used within an organization. Download this whitepaper to understand how it's linked to business success.

Spotlight

Panasas

Founded in 1999, Panasas, the data engine for innovation, offers purpose-built data solutions for high-performance and artificial intelligence (AI) applications in medical sciences, manufacturing, energy, financial services, media, and government. The company's flagship PanFS® parallel file system and ActiveStor® technologies combine exceptional performance, security, scalability, and reliability with the simplicity of management for modern workloads. The Panasas data engine addresses some of the world's most complex challenges, such as treating diseases, developing the next jetliner, producing mind-blowing visual effects, and predicting new possibilities using AI. Its data solutions have been deployed by Fortune 500 companies as well as leading government and research agencies in over 50 countries, including P&G, Boeing, NIO electric vehicles, National Institute of Health, TGS energy exploration, Siemens, Harvard Medical School and NASA.

OTHER WHITEPAPERS
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DataOS®: A Paradigm Shift in Data Management – Creating Scalable Analytics

whitePaper | October 10, 2022

Companies undergoing digital transformation must make data available to all stakeholders. However, outdated security and governance tools can prevent companies from freeing their data without opening themselves up to new risks.

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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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Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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Data Lake Whitepaper

whitePaper | December 22, 2022

We live in a digital world in which data analytics and artificial intelligence significantly impact our daily lives. They influence what we wear, what we eat, where we travel, and how we spend our free time. In medicine the impact of data has much more drastic effects, as access to high-quality medical data is a matter of life or death for patients every day. In this particular area, the desire to save human life by discovering modern methods of therapy and diagnostics often contradicts another fundamental right of the patient - the right to privacy and the right to dispose of one’s data.

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4 Powerful Reasons Why Your Organization Benefits With Data Sharing

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”

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Modernizing Clinical Data Management to Be Scalable, Flexible, and Intelligent

whitePaper | May 26, 2022

Clinical trials are becoming more complex and a confluence of forces—including the ongoing COVID-19 pandemic, greater emphasis on patient experience, increasing protocol complexity, and precise value differentiation—is accelerating this complexity. Trials have evolved to include an ever-expanding array of data sources, increased data volume and precision, decentralized clinical trials (DCT), and adaptive designs.

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Spotlight

Panasas

Founded in 1999, Panasas, the data engine for innovation, offers purpose-built data solutions for high-performance and artificial intelligence (AI) applications in medical sciences, manufacturing, energy, financial services, media, and government. The company's flagship PanFS® parallel file system and ActiveStor® technologies combine exceptional performance, security, scalability, and reliability with the simplicity of management for modern workloads. The Panasas data engine addresses some of the world's most complex challenges, such as treating diseases, developing the next jetliner, producing mind-blowing visual effects, and predicting new possibilities using AI. Its data solutions have been deployed by Fortune 500 companies as well as leading government and research agencies in over 50 countries, including P&G, Boeing, NIO electric vehicles, National Institute of Health, TGS energy exploration, Siemens, Harvard Medical School and NASA.

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