How to choose the best CMS for customer experience management

January 1, 2019

We’ve come a long way since the days when a content management system (CMS) was simply a way to manage and update the content on your website. Today, a web CMS is just one type of technology you need to consistently deliver an excellent customer experience. While your web CMS is a crucial component, you must look at it as part of a larger customer experience management capability.

Spotlight

Atypon

"Atypon develops software essential to the success of online publishers. The company’s user-oriented approach to product development gives publishers automated and easy-to-use tools for presenting, marketing, and selling their content. Literatum, our online publishing platform, is the only software that integrates UI/UX design, content management, semantic tagging, subscription modeling, automated content marketing, targeted ad delivery, eCommerce, access control, and business intelligence analytics in a single system.

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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Green Mechanical

whitePaper | April 16, 2020

Since its inception in 1983, Green Mechanical has grown from 1 to 3 offices, taking on larger, more complex projects. However, success came with its own unique challenges. With employees spread across multiple cities and states, Green Mechanical built custom workflows for various systems to ensure collaborators had access to the information they needed. That meant employees had to keep track of multiple remote logins to complete simple tasks like printing job cost reports. Additionally, some employees used digital processes, while others used pen-and-paper. As a result, teams were often working off outdated information.

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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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The Business Value of the New Relic Observability Platform

whitePaper | May 25, 2022

The New Relic cloud-based observability platform visualizes, analyzes, identifies, and troubleshoots the entire technology stack, including software, applications, infrastructure, networks, mobile, browser, Kubernetes, and more. New Relic helps developer, DevOps, operations, and site reliability engineering (SRE) teams improve the quality of their software planning, build, and delivery along with the performance and reliability of their systems and applications. The platform is designed to provide a powerful set of observability, monitoring, problem identification, analytics, and resolution capabilities for multiple teams to gain a comprehensive, real-time, full-stack view of service performance. Its single view of all telemetry data enables teams to identify the root cause of problems quickly, drill into errors (debug) using advanced analytic models, and resolve problems using intelligence dashboards.

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The future of AI is hybrid

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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Recommendations on Updating the National Artificial Intelligence Research and Development Strategic Plan

whitePaper | March 30, 2022

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) offers the following submission for consideration in response to the Request for Information(RFI) by the White House Office of Science and Technology to the Update of the National Artificial Intelligence Research and Development Strategic Plan.

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Spotlight

Atypon

"Atypon develops software essential to the success of online publishers. The company’s user-oriented approach to product development gives publishers automated and easy-to-use tools for presenting, marketing, and selling their content. Literatum, our online publishing platform, is the only software that integrates UI/UX design, content management, semantic tagging, subscription modeling, automated content marketing, targeted ad delivery, eCommerce, access control, and business intelligence analytics in a single system.

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