GENERAL AI

The Future of IT Service Management With AI

June 13, 2022

The Future of IT Service Management With AI
As businesses move beyond rigid rules and strictly linear processes in IT service management, there’s a world of opportunity for artificial intelligence-powered automation in both proactive and reactive service delivery. We discuss what that smart tech-driven world can look like and how you can get there.

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Megaport

Megaport is changing the way people, enterprises, and service providers interconnect globally. Our Software Defined Network (SDN) connects 220+ data centres in 12+ countries across North America, Asia Pacific, and Europe. We enable customers with fast, flexible, secure and on-demand connectivity to leading cloud, network, and managed service providers. Our Network as a Service solution offers greater agility, reduced operating costs, and increased speed to market compared to traditional connectivity options.

OTHER WHITEPAPERS
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An Overview of AI Music Generation and its Potential

whitePaper | July 15, 2022

Today, the use cases for AI (artificial intelligence) and machine learning are developing at a remarkable pace. We are beginning to see cases where AI is contributing to society through its implementation in systems and services that are in production and consumer-facing. These include the automation of nuanced decisions that until now could only be made by humans, thereby increasing the profitability of corporations, and increasing customer satisfaction through the personalization of services making them tailored for each user. In addition, important discussions have begun on the adverse effects such AI systems have on humans and the resulting ethical issues they can create.

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AI and Cities: Risks, Applications and Governance

whitePaper | October 20, 2022

Artificial intelligence has already started to have an impact on urban settings at an unprecedented pace, with sophisticated solutions being deployed in the streets, at airports and in other city installations. In fact, cities are becoming experimental sites for new forms of artificial intelligence and automation technologies that are applied across a wide variety of sectors and places.

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Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | March 30, 2022

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.

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Using Cloud-Driven Technology to Help Establish a New Normal

whitePaper | July 31, 2020

The current COVID pandemic has paralyzed large parts of our industry with significant movement limitations, occupancy restrictions, and in some cases complete shutdowns. Now, as the initial threat seems to be subsiding, governments and businesses must determine what is required to get back to some sense of normalcy. The biggest hurdles will be regulatory and/or safety-driven. Although the timelines and requirements for the easing of restrictions vary greatly, there are two common threads: limiting occupancy levels and contact tracing individuals who have tested positive for the virus.

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FLI Position Paper on AI Liability

whitePaper | November 28, 2022

The Future of Life Institute (FLI) welcomes the opportunity to provide feedback to the European Commission on its proposal for an artificial intelligence (AI) Liability Directive1 . Liability is an important instrument for safeguarding the interests of society. It can play a role in catalysing innovation by encouraging organisations to develop risk-mitigating technologies that reduce the likelihood of harm in products and services. At the same time, it prioritises the rights of individuals and can lead to increased trust and uptake in new technologies.

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Getting Started with Data Acquisition Systems

whitePaper | August 6, 2020

The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or control. The specific parameters of your application will dictate the resolution, accuracy, channel count, and speed requirements of a data acquisition system. A wide assortment of data acquisition components and solutions is available on the market, including low-cost USB modules, benchtop data loggers, and large channel systems. Before you start your search for a data acquisition solution, carefully analyze your application requirements to understand how much capability and performance you need to purchase.

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Spotlight

Megaport

Megaport is changing the way people, enterprises, and service providers interconnect globally. Our Software Defined Network (SDN) connects 220+ data centres in 12+ countries across North America, Asia Pacific, and Europe. We enable customers with fast, flexible, secure and on-demand connectivity to leading cloud, network, and managed service providers. Our Network as a Service solution offers greater agility, reduced operating costs, and increased speed to market compared to traditional connectivity options.

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