Oracle Autonomous Database Strategy

July 17, 2018

IT leaders must modernize enterprise computing to the cloud and do more with less. The migration must improve protection from cyber-attacks without threatening the stability and availability of mission-critical workloads. To truly deliver transformational change, the cloud platform must include both existing and new applications. Public cloud is a key component of the transformation but migrating the entire estate to the public cloud is usually not realistic.

Spotlight

Indra

Indra, overseen by Chairman & CEO Fernando Abril-Martorell, is Spain's leading consulting and technology multinational and one of the most prominent in Europe and Latin America. The company provides business solutions, IT services and comprehensive systems to clients all over the world. Indra has a standout business model based on proprietary solutions (representing close to 65% of 2014 revenue), that serves leading clients in numerous countries. In 2014 it posted revenue of 2,938 million euros (close to 60% of revenue is international) and had 39,000 employees, a local presence in 46 countries and projects in 149 countries. The company groups its solutions and services into the vertical markets of Energy and Industry, Financial Services, Telecom & Media, Public Sector & Healthcare, Transport & Traffic and Security & Defense.

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Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Readiness

whitePaper | May 14, 2018

Migrating to the cloud has proven to be a transformative step for many organizations, but it is complex and entails risks to applications unless proper end-to-end, cloud-specific testing is performed. We have seen that many organizations limit their testing strategy to application-level regression analysis, which is insufficient to ensure that the applications, data and servers are fully functional and safe post migration. In light of the many ways cloud leveraging has evolved, a comprehensive assurance strategy to bring in cloud-centric validation techniques is required.

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Data and Analytics to Combat the Opioid Epidemic

whitePaper |

Physicians and their patients, medical policy makers and licensing boards, pharmaceutical companies and pharmacies all must work together to stem the opioid epidemic and achieve the fundamental objectives of reducing addiction and deaths. With so many players and data sources, today’s information is partial, fragmented, and often not actionable. We don’t have the data to understand what’s happening, to adjust policy, and to motivate physicians and patients to change their behaviours. Better data and analytics can help develop better treatment protocols, both for pain in the first place and for remediation when patients are becoming dependent on the drugs. Analytics should enable all of these players to be more forward looking and predictive, and to avoid unanticipated consequences of well-intentioned initiatives

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Omnichannel, Microservices, and “Modern” Applications

whitePaper | January 15, 2016

Delivering high-performing applications is becoming increasingly difficult as the applications themselves become increasingly componentized, heterogeneous, and distributed. Today, virtually every IT organization is delivering applications running on a wide variety of platforms, built over multiple technical architectures, and developed in multiple languages.

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Neural Networks for Dummies

whitePaper |

This is how a neural network looks like. Dr. Robert Necht-Nielsen, the inventor of the first neurocomputer, proved that working of a human brain could be imitated using wires and silicon as living nerve cells: neurons and dendrites. A mathematical model that can do so is called an artificial neural network (ANN).

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Containers: Where Linux host networking meets network infrastructure

whitePaper |

Modern data center applications have evolved from a monolithic development architecture, in which an entire application ran on a single host or virtual machine (VM), to lightweight Linux-based containers. The use of software container platforms, such as Docker, help facilitate applications to be packaged independently from the underlying infrastructure, without incurring the operational overhead of a virtual machine. Containers provide a simple method to deploy and run distributed applications, and can also be used to create “microservices,” in which specific elements of an application are distributed across a number of containers.

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BI Meets AI

whitePaper | December 19, 2018

Many business leaders struggle to realize the financial impact of investments in data lakes and other big data initiatives. Collecting and storing huge volumes of business data is the easy part. Finding new sources of competitive advantage in that data is a decidedly harder task. It’s getting harder. We now live in a world where the economy runs not on services, but on data itself. It’s not about which or how much or how quick the business can collect the data anymore. In the Extreme Data Economy, data comes from unpredictable sources and analysis becomes much more complex.

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Spotlight

Indra

Indra, overseen by Chairman & CEO Fernando Abril-Martorell, is Spain's leading consulting and technology multinational and one of the most prominent in Europe and Latin America. The company provides business solutions, IT services and comprehensive systems to clients all over the world. Indra has a standout business model based on proprietary solutions (representing close to 65% of 2014 revenue), that serves leading clients in numerous countries. In 2014 it posted revenue of 2,938 million euros (close to 60% of revenue is international) and had 39,000 employees, a local presence in 46 countries and projects in 149 countries. The company groups its solutions and services into the vertical markets of Energy and Industry, Financial Services, Telecom & Media, Public Sector & Healthcare, Transport & Traffic and Security & Defense.

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