Mon.Dec 02, 2024

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Mastering the Customer Experience with Edwin Margulies

ShepHyken

This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    How can companies effectively integrate new technology into existing systems to enhance customer experience? Why is creating a frictionless customer experience important, and how can businesses achieve it? Why is understanding consumer behavior crucial for improving customer experience?

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Unlocking the Secrets to Exceptional Customer Service with Paul R. Jones

BlueOcean

This blog post has consistently ranked as one of our most popular year after year. The insight about exceptional customer service and the customer experience is still rock solid, and so we decided to revisit the article entering 2025. When it comes to customer experience , there’s a lot of cross-over between the hospitality industry and the contact center industry.

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How AI-Driven Voice Technologies Are Transforming Customer Service

24-7 InTouch

AI-driven voice technologies are expanding possibilities and broadening practical applications across many different industries. CX services across the world are being optimized by these tools, making repetitive tasks for agents more efficient and interactions with customers more engaging. These AI-voice innovations are transforming the customer journey into a highly responsive and immersive experience for users.

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How to Improve Healthcare Customer Service: Key Strategies and Techniques

CSM Magazine

In recent years, the importance of customer service in healthcare has come to the forefront. In this article, we look at some key strategies and techniques for providing excellent patient care. According to a survey by Accenture , 25% of patients have switched healthcare providers due to poor customer service. It is therefore become crucial for healthcare providers to prioritize patient satisfaction in tandem with providing quality medical services.

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State of AI in Sales & Marketing 2025

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.

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Call Center Compliance: Regulations, Challenges and Best Practices (2025) | AmplifAI

Amplifai Coaching Category

Learn how to navigate call center compliance with our comprehensive guide. Discover key regulations, consequences of non-compliance, and best practices to protect your contact center.

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Unlock cost savings with the new scale down to zero feature in SageMaker Inference

AWS Machine Learning

Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud. Previously, SageMaker inference endpoints maintained a minimum number of instances to provide continuous availability, even during periods of low or no traffic.

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How to Provide Excellent eSports Customer Service and Support

CSM Magazine

The eSports industry is growing at a fast pace, with millions of players and fans engaging in competitive gaming communities every day. From intricate gameplay mechanics to customizations like skins, eSports gamers rely heavily on seamless experiences. But what happens when things go wrong? Whether it’s a missing item or failed transaction, excellent customer support plays a pivotal role in ensuring customer satisfaction and loyalty.

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Speed up your AI inference workloads with new NVIDIA-powered capabilities in Amazon SageMaker

AWS Machine Learning

This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At re:Invent 2024, we are excited to announce new capabilities to speed up your AI inference workloads with NVIDIA accelerated computing and software offerings on Amazon SageMaker. These advancements build upon our collaboration with NVIDIA, which includes adding support for inference-optimized GPU instances and integration with NVIDIA technologies.

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How a 3D Video Animation Company Can Bring Your Vision to Life

CSM Magazine

Content is being churned at a fast pace in today’s digital landscape. This means businesses and creators have to compete for customer’s attention. While there are many ways to create content that stands out from the crowd, it can seem overwhelming to pick one. One effective approach for businesses and individuals alike is utilizing 3D video animation techniques.

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Next-Gen Cloud Contact Centers For Dummies®

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.

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How Amazon Finance Automation built a generative AI Q&A chat assistant using Amazon Bedrock

AWS Machine Learning

Today, the Accounts Payable (AP) and Accounts Receivable (AR) analysts in Amazon Finance operations receive queries from customers through email, cases, internal tools, or phone. When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs) and go through multiple policy documents containing standard operating procedures (SOPs) relevant to the query.

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Finding Reliable Website Developers for Your Project

CSM Magazine

Finding the right website developer is a crucial step in bringing your online vision to life. Whether you’re starting from scratch or updating an existing site, the developer you choose can make all the difference in creating a website that aligns with your goals. But with so many options out there, how do you ensure you’re making the right choice? By defining your project needs, researching thoroughly, and carefully evaluating potential candidates, you can find a reliable partner to turn your i

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Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon

AWS Machine Learning

Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos models [1]. Time series forecasting plays a vital role in guiding key business decisions across industries such as retail, energy, finance, and healthcare. Traditionally, forecasting has relied on statistical models [2] like ETS and ARIMA, which remain strong baselines, particularly when training data is limited.

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AI & Robots Are Redefining BPOs — Are They Human-Friendly?

JustCall

AI and automation are shaking things up in the outsourcing industry. Explore how they are reshaping BPOs into lean, agile, and future-ready powerhouses. AI transforms every industry it touches, and the BPO industry is feeling the shift. Predictive analytics crunch numbers like data wizards and chatbots handling customer queries like pros — this is the new face of outsourcing.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

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!

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. This innovation allows you to scale your models faster, observing up to 56% reduction in latency when scaling a new model copy and up to 30% when adding a model copy on a new instance.

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Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

AWS Machine Learning

The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. These models have grown exponentially in size and complexity, with some now containing hundreds of billions of parameters and requiring hundreds of gigabytes of memory. As LLMs continue to expand, AI engineers face increasing challenges in deploying and scaling these models efficiently for inference.

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Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – Part 2

AWS Machine Learning

In Part 1 of this series, we introduced Amazon SageMaker Fast Model Loader , a new capability in Amazon SageMaker that significantly reduces the time required to deploy and scale large language models (LLMs) for inference. We discussed how this innovation addresses one of the major bottlenecks in LLM deployment: the time required to load massive models onto accelerators.