The Extreme Automated Campus Fabric, Policy, Management, and Analytics

October 2, 2018

In an industry that’s already defined and continually renewed by innovation, Extreme Network’s recent announcement of Campus Automation is one of the most significant advances in campus networking and even for networking IT overall. For the first time, all of the essential technologies, products, procedures, services, and support are gathered together and integrated under a single, comprehensive envelope that is already yielding notably improved performance, security, and reliability for mission-critical networks across even the largest organizational settings – campuses and beyond.

Spotlight

CAST

CAST is the software intelligence category leader. CAST technology can see inside custom applications with MRI-like precision, automatically generating intelligence about their inner workings - composition, architecture, transaction flows, cloud readiness, structural flaws, legal and security risks. It’s becoming essential for faster modernization for cloud, raising the speed and efficiency of Software Engineering, better open source risk control, and accurate technical due diligence.

OTHER WHITEPAPERS
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IMPROVE YOUR CX RIGHT NOW 5 Things To Do Today

whitePaper | August 11, 2020

Today, customer experience (CX) is about so much more than straight-up service, polite cashiers, hold times, or the number of business days it takes for a product to arrive in the mail. CX involves feelings, emotions, and encompasses your customers’ entire journey - from the moment they step foot in a store or visit a website until the moment they purchase from you again, tweet a positive shout out, or, on the flip side, reach out with an issue.

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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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AIOps: The future is here 2

whitePaper | October 18, 2022

The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.

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AI Act: Risk Classification of AI Systems from a Practical Perspective

whitePaper | March 22, 2023

Artificial intelligence is increasingly becoming a part of our everyday lives, whether at home, in industry or in the public sector. The technology poses risks, but also opens up new opportunities. This presents the institutions in Brussels with the challenge of finding a balance between innovation and regulation for AI in the EU.

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Tame the Boom-and-Bust Cycle of Lending with Low-Code

whitePaper | October 18, 2022

If you have worked in lending for even just the past year, you have already experienced its cyclical nature. Take mortgage lending, for example. Less than a year ago, the main problem facing mortgage originators was how to process high volumes of applications while still observing regulatory compliance and conformance to underwriting policies.

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Enterprise Use of Artificial Intelligence and Machine Learning

whitePaper | September 19, 2022

The field of artificial intelligence (AI) traces back to the 1950s. More recently, the increased availability of both data and computing power has bolstered rapid adoption of AI and machine learning (ML) solutions (collectively, AI/ML)

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Spotlight

CAST

CAST is the software intelligence category leader. CAST technology can see inside custom applications with MRI-like precision, automatically generating intelligence about their inner workings - composition, architecture, transaction flows, cloud readiness, structural flaws, legal and security risks. It’s becoming essential for faster modernization for cloud, raising the speed and efficiency of Software Engineering, better open source risk control, and accurate technical due diligence.

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