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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?
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.
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.
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.
Every year, $75 billion is lost to bad customer service — and your business could be bleeding loyalty without realizing it. AI is rewriting the rules. Imagine instant answers, 24/7 self-service, faster resolutions, and skyrocketing satisfaction scores. Companies like Amazon are already cashing in, and the technology is easier than you think — plug, play, and profit.
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.
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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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.
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.
TTEC Holdings Inc., a leading global CX technology and services innovator for AI-enabled CX with solutions from TTEC Engage and TTEC Digital, today announced that TTEC Digital has completed the first phases of a successful global sales process optimization program with Westcon-Comstor , a global technology provider and specialist distributor. Westcon-Comstor operates across EMEA and APAC, connecting the world’s leading IT vendors with a channel of technology resellers, systems integrator
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.
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.
The C²Perform Index (C2PI) is a free, quarterly research report built by support practitioners that analyzes over 100 million customer support and contact center interactions across more than 30 countries. The Q1 2025 edition reveals a 153 % year‑over‑year surge in coaching sessions, a 21 % rise in eLearning completions, and early indications of improved knowledge retention and faster internal communication.
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.
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.
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.
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
In 2025, contact centers aren’t just changing—they’re being rebuilt by AI. This no-fluff, executive-ready guide shows you how to capitalize on the transformation. Inside: proven ROI calculators, workforce optimization tactics, deflection strategies, and a 90-day AI deployment plan. Built for CIOs, COOs, CX leaders, and contact center strategists, it goes beyond buzzwords into play-by-play implementation.
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.
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.
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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