The Secret of IT Success?

May 1, 2019

In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? What do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization’s journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling choices that make sense. Plus, we can show organizations how to get the most out of technology investments.

Spotlight

Bigstep

Bigstep Metal Cloud enables organizations to instantly create private data centers for big data workloads, by using architectural blueprints tailored to specific use cases. The Bigstep private data centers are secure and elastic bare-metal extensions of on-premises environments.

OTHER WHITEPAPERS
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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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The Total Economic Impact of Data Virtualization Using the Denodo Platform

whitePaper | August 9, 2022

Data virtualization helps organizations access data across disparate sources and deliver a unified view of the data faster, cheaper, and using fewer resources than traditional data integration approaches. In this TEI, data virtualization delivered 83% reduction in time-torevenue and 65% decrease in delivery times over extract, transform, and load (ETL) processes.

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The Value of Oracle Enterprise Manager for Managing Oracle Databases

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

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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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Spotlight

Bigstep

Bigstep Metal Cloud enables organizations to instantly create private data centers for big data workloads, by using architectural blueprints tailored to specific use cases. The Bigstep private data centers are secure and elastic bare-metal extensions of on-premises environments.

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