A Roadmap for End-to-End Monitoring of Enterprise Applications in Hybrid Multi-Cloud

March 20, 2018

ONUG provides a forum in which executives from IT organizations and vendors work together to develop guidance and recommendations for the IT industry. The ONUG Monitoring and Analytics (M&A) Working Group is focused on technologies and tools that support application and network assurance. In 2016, the M&A Working Group published a whitepaper describing some of the most common use cases for monitoring. This document builds on that work and describes a framework for IT Operations Monitoring and Analytics.

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Adistec

ADI simplifies and strengthens business intelligence architectures. We integrate both applications and data in order to illuminate the possibilities. We pull data from ERPs, data warehouses, data marts, chain management solutions and any number of legacy systems. Perhaps most importantly, we understand the business needs that drive the design, utilization and value of information systems.

OTHER WHITEPAPERS
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The Presidio Recommendations on Responsible Generative AI

whitePaper | June 14, 2023

Generative artificial intelligence (AI) has the potential to transform industries and society by boosting innovation and empowering individuals across diverse fields, from arts to scientific research. To ensure a positive future, it is crucial to prioritize responsible design and release practices from the beginning. As generative AI continues to advance at an unprecedented pace, the need for collaboration among stakeholders to ensure that AI serves as a force for good has become increasingly urgent.

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API Design Best Practices

whitePaper | August 25, 2022

The document focuses on the best practices to consider for API design by breaking it into its basic building blocks. Along with each recommendation the document also describes the reason and impact of a certain design decision through scenarios. The document provides recommendations on object representations, usage of headers and URL/URI templates to consider.

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Embedding Generative AI and Advanced Search into your apps with MongoDB Atlas

whitePaper | July 5, 2023

Never before has the launch of a new technology so rapidly fired the imagination of enterprises and consumers alike. The arrival of ChatGPT in November 2022 showcased the potential of Generative AI powered by Large Language Models (LLMs) in addressing a vast array of new use cases. These use cases were previously unimaginable with conventional computing and analytical AI (now sometimes described as “traditional” or “classic” AI).

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Automate Machine Learning with H2O DriverlessAI on Dell Infrastructure

whitePaper | June 22, 2022

Artificial intelligence (AI) and machine learning have revolutionized how organizations are using their data. Automated machine learning (AutoML) facilitates and improves the endto-end data science process. This process includes everything from preprocessing and cleaning the data, selecting and engineering appropriate features, tuning and optimizing the model, analyzing results, explaining and documenting the model, and of course, deploying it into production.

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AI in Planning

whitePaper | September 17, 2022

As stated in the American Planning Association’s 2022 Trend Report for Planners, over centuries, professions have evolved with changing environments, shifting eras, new challenges, societal shifts, and technological innovations. While some professions have become obsolete or or were replaced by technology, others have adapted or readjusted and stayed relevant in an ever-changing world. What is different today is the pace of change, which requires faster, even proactive, adjustments—including new tools, processes, and skills.

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Conversational AI using NVIDIA : NetApp Solutions

whitePaper | October 17, 2022

The NVIDIA DGX family of systems is made up of the world’s first integrated artificial intelligence (AI)-based systems that are purpose-built for enterprise AI. NetApp AFF storage systems deliver extreme performance and industry-leading hybrid cloud data-management capabilities. NetApp and NVIDIA have partnered to create the NetApp ONTAP AI reference architecture, a turnkey solution for AI and machine learning (ML) workloads that provides enterprise-class performance, reliability, and support.

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Spotlight

Adistec

ADI simplifies and strengthens business intelligence architectures. We integrate both applications and data in order to illuminate the possibilities. We pull data from ERPs, data warehouses, data marts, chain management solutions and any number of legacy systems. Perhaps most importantly, we understand the business needs that drive the design, utilization and value of information systems.

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