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The allure of AI in contact centers is undeniable. From automating routine tasks to providing personalized recommendations, AI promises to revolutionize how businesses interact with their customers. With advancements in natural language processing (NLP), machine learning (ML), and automation technologies, the potential for AI-driven customer service solutions seems limitless.
Each week, I read many customer service and customer experience articles from various resources. Here are my top five picks from last week. I have added my comments about each article and would like to hear what you think too. 4 Ways to Scale up Convenient CX for Modern Customers by NICE (NICE) The easier things are for your customers, the better they are for your organization.
Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. A Gartner, Inc. survey revealed that 87 percent of business leaders expect to increase their organization’s investment in sustainability over the next years. This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability.
In today’s fast-evolving service landscape, companies are continuously innovating to improve customer experience (CX). However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption. For CX enhancements to truly impact your business, they must be readily adopted by both customers and service agents.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training compute cluster. With SageMaker HyperPod, you can train FMs for weeks and months without disruption. Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators.
In today’s fast-evolving service landscape, companies are continuously innovating to improve customer experience (CX). However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption. For CX enhancements to truly impact your business, they must be readily adopted by both customers and service agents.
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Customer Contact Central brings together the best content for Contact Center and Customer Service professionals from the widest variety of industry thought leaders.
In today’s fast-evolving service landscape, companies are continuously innovating to improve customer experience (CX). However, the true potential of investing in CX innovation often remains untapped due to barriers that hinder adoption. For CX enhancements to truly impact your business, they must be readily adopted by both customers and service agents.
Imagine juggling multiple remotes for your entertainment system, each controlling a different device and requiring endless button presses to achieve a simple task.
Outsourced answering solutions represent a strategic approach for businesses aiming to enhance customer service and manage operational costs effectively. By partnering with an external service provider, companies can efficiently handle high call volumes, guarantee 24/7 customer accessibility worldwide, and streamline communication processes. This method is particularly beneficial for entities ranging from small local businesses to expanding enterprises with a global customer base.
In our 3-part series: People, Process, & Technology — and the Intersection of AI, we have asked industry leaders in technology, people and process management to explain what AI is, what it isn’t, and how it can be a benefit (and a curse) in each area. In Part 3 of our series, we hear from Leslie O’Flahaven, professional write, coach, and speaker.
When we introduced our first compute platform in 2009 with Cisco UCS B-Series Blade Servers , there was a fair amount of snickering from industry watchers and established server vendors.
What does customer service excellence look like in 2024? According to our report with insights from CX expert Shep Hyken, customer expectations are at an all-time high, and there’s a bigger shift toward self-service and leveraging AI capabilities.
Learn why doing more with less is a losing proposition and how your account management team can help your organization win big in economically challenging times.
The productivity of your customer service agents directly impacts your company’s success. Enhanced agent productivity not only accelerates response times but also elevates the overall quality of service. This can directly lead to improved customer satisfaction, increased sales, and more repeat business. Given the importance of customer service productivity, this blog explores actionable strategies to improve agent productivity, enabling your team to work smarter, faster, and more effective
Cisco Defense Orchestrator (CDO) provides a powerful REST API to automate and simplify security management tasks. You can find CDO API Documentation on DevNet.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
In the rapidly evolving landscape of healthcare, patient satisfaction and access to care are paramount. With the advent of digital technology, healthcare providers are increasingly turning to innovative solutions to enhance customer service and improve patient experiences. According to the Kyruus 2023 Patient Access Journey Report , digital tools are playing a pivotal role in reshaping how patients interact with healthcare systems.
At Sabio’s recent Disrupt event in London, a panel of experts from Sweaty Betty, Zuto, Transcom and Awaze shared insights on how they are leveraging new technologies such as artificial intelligence (AI) to revolutionise customer service and drive business growth. One of the key takeaways from the discussion I had with the group was the importance of finding the right balance between AI capabilities and human interaction.
Pega offers various text processing options. This can be especially helpful in customer service. For example, to draw conclusions about the content of an email, the text must be analyzed. Pega provides text analytics tools to extract meaningful information from large volumes of data. Text can be analyzed and structured in multiple languages. For a detailed list, see the Pega documentation for the current release.
Faster response times mean happier customers Are your customers on hold too long? Nearly half of consumers find hold times unacceptable, and a quarter will leave your brand because of it. Our latest report reveals how companies are affected by wait times and the impact on customer satisfaction. Read the report to get insights into the impact of long hold times and areas for opportunities.
Explore key trends in online gambling customer service, including AI integration, personalization, and enhanced security, shaping the future of player satisfaction and loyalty. The Future of Customer Service in Online Gambling: Trends to Watch The online gambling industry has experienced exponential growth over the last decade, driven by technological advancements and an increasing number of digital users.
To analyze and categorize the content of an email, Pega provides several text categorization capabilities. Using text categorization, large amounts of data can be efficiently analyzed and assigned to predefined categories.
Pega provides a powerful text extraction method for analyzing email content and categorizing text data. Text extraction allows you to identify named entities in text data and assign them to predefined categories, such as organizations, locations, people, quantities, or values. By leveraging the machine learning capabilities of the Pega platform, entity extraction models can be created that are capable of recognizing named entities.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
The music industry has witnessed a seismic shift with the advent of digital distribution. Gone are the days when record stores and physical albums were the primary channels for new releases. Today’s artists reach fans directly through streaming services and downloads, upending traditional models. This transformation isn’t just about convenience; it alters how customers engage with music, crafting experiences that are personal, immediate, and increasingly interactive.
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