Remote Support Security in Cloud

April 5, 2019

The purpose of this document is to help technically-oriented professionals understand the security-related value BeyondTrust can bring to your organization. BeyondTrust can help your support organization stay secure and compliant, while improving the efficiency and success of your organization with a better end-user support experience

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Proofpoint

Proofpoint is a next-generation cybersecurity company that protects your people, data and brand against advanced threats and compliance risks. Built on the cloud and the world's most advanced intelligence platform, our solutions help you effectively detect and block targeted attacks and respond quickly to suspected compromises.

OTHER WHITEPAPERS
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Understanding the Oracle APEX Application Development Lifecycle

whitePaper | October 21, 2022

Oracle APEX is the world’s most popular low-code application platform for enterprise apps. It’s free to use with any Oracle database or database cloud service. Using a browser-based builder, you and your team create modern data-centric web apps that are reliable, scalable, and secure. End users access them with desktop or mobile browsers or install them like native apps in one click. Every day APEX developers the world over help each other succeed. They produce everything from small departmental apps done by one or two people, to complex, business critical systems engineered by a team of IT professionals.

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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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A Taxonomy of Trustworthiness for Artificial Intelligence

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

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IBM Watson NLP Performance with Intel Optimizations

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.

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White Paper:Intelligent Networking, AI and Machine Learning

whitePaper | June 7, 2022

Telecoms need to be able to incorporate new technologies and next-generation connectivity such as 5G to customers and end users. To achieve these ambitious goals, they need to optimize their networks – make them more intelligent if you will. Some of the tools needed include artificial intelligence (AI), machine learning (ML) and artificial intelligence operations (AIOps). This document will explore what intelligent networking means to telecoms, vendors and customers, and how AI and ML technologies and tools can be used, the cultural shifts the industry needs to make it a success, and what to bear in mind when deploying machine learning across a telecom network.

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Making AI Inclusive: 4 Guiding Principles for Ethical Engagement

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.

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Spotlight

Proofpoint

Proofpoint is a next-generation cybersecurity company that protects your people, data and brand against advanced threats and compliance risks. Built on the cloud and the world's most advanced intelligence platform, our solutions help you effectively detect and block targeted attacks and respond quickly to suspected compromises.

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