Thu.Dec 12, 2024

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Answer questions from tables embedded in documents with Amazon Q Business

AWS Machine Learning

Amazon Q Business is a generative AI -powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. A large portion of that information is found in text narratives stored in various document formats such as PDFs, Word files, and HTML pages. Some information is also stored in tables (such as price or product specification tables) embedded in those same document types, CSVs, or spreadsheets.

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5 strategies for improving CSAT in contact centers

Callminer

Read this blog to learn about the importance of CSAT scores and five proven strategies for improving customer satisfaction in the contact center.

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The Trials Customer Support May Face in iGaming

CSM Magazine

Customer support is a challenging area of work. It requires strong communication abilities, empathy, assertiveness, a thorough understanding of an organization, and resilience. It is an important component of any organization that provides services or products to other people, so its essentially part of every industry, including iGaming. Customer support in iGaming presents several unique challenges that affect how support workers and entire teams approach their work and serve each customer.

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Live Chat Etiquette: Top Tips For Unmatched Customer Service

HelpCrunch

One might think that talking to a client online is a piece of cake and doesn’t require special behavior or adhering to chat etiquette. Like it’s OK to answer with a simple ‘No’ even if [ ] The post Live Chat Etiquette: Top Tips For Unmatched Customer Service appeared first on The HelpCrunch blog.

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Turn Your Contact Center Into a Profit Machine with AI

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.

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Meet Jovee AI: The Revolutionary Generative AI Virtual Assistant for Customer Contact Centers

CSM Magazine

Telecom and customer service management companies including ESMT are adopting Jovee AIa fully integrated AI solution to enhance internal processes and increase efficiencies. Jovee is announcing the beta launch of Jovee AI, a fully-featured AI assistant designed to streamline contact center operations by understanding, empathizing, and engaging with customers in real-time across multiple communication channels.

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Helping Customers Help Themselves: Improved Self-Service via Cloud Contact Center

Concentrix

Discover how a retailer implemented a cloud contact center solution, powered by Amazon Connect, to enable seamless customer interactions across multiple channels.

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Press 0 for the Future: Voice AI Agents Set to Transform Contact Centers in 2025

MiaRec

Curious about where the contact center industry is headed in 2025? MiaRec Founder and CEO, Gennadiy Bezkorovayniy shares his bold predictions in a short, insightful video. From the decline of IVRs and text-based chatbots to the rise of Voice AI Agents that could replace human support altogether, Gennadiy outlines how this shift will reshape customer service and redefine how companies prioritize the customer experience.

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60+ Generative AI Statistics You Need to Know in 2025 | AmplifAI

Amplifai Coaching Category

60+ Generative AI Statistics. Featuring the latest trends, challenges, ROI, and business case for Gen AI adoption in 2025.

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Vapi Dials-in $20M in Series A Led by Bessemer to Bring AI Voice Agents to Enterprise

CSM Magazine

Vapi founders Jordan Dearsley and Nikhil Gupta Vapi has scaled revenue to millions – in just 6 months since launch – for voice agents across industries like customer service and healthcare. Fresh funding to accelerate hiring elite engineering talent and scale their real-time infrastructure. Over the past six months, generative voice models have begun to achieve human-level performance, in some cases even passing “the voice Turing test.” This advancement, coupled with the

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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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Amazon Q Apps supports customization and governance of generative AI-powered apps

AWS Machine Learning

We are excited to announce new features that allow creation of more powerful apps, while giving more governance control using Amazon Q Apps, a capability within Amazon Q Business that allows you to create generative AI-powered apps based on your organizations data. These features enhance app customization options that let business users tailor solutions to their specific individual or organizational requirements.

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Zappix Achieves Significant Reduction in Patient No-Shows and Late Cancellations for a Leading Healthcare Provider

Zappix

Burlington, MA (December 12, 2024) ( EIN Presswire ) Zappix, a leading provider of Digital Patient Engagement solutions, today announced a significant reduction in patient no-shows and late cancellations for a prominent gastroenterology provider after implementing its innovative Patient No-Show Reduction Solution. The healthcare provider saw a substantial drop in no-shows, decreasing from an average of 15% to just under 7%.

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Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 2: ModelBuilder

AWS Machine Learning

In Part 1 of this series, we introduced the newly launched ModelTrainer class on the Amazon SageMaker Python SDK and its benefits, and showed you how to fine-tune a Meta Llama 3.1 8B model on a custom dataset. In this post, we look at the enhancements to the ModelBuilder class, which lets you seamlessly deploy a model from ModelTrainer to a SageMaker endpoint, and provides a single interface for multiple deployment configurations.

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Accelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 1: ModelTrainer

AWS Machine Learning

Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers.

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How AI Is Revolutionizing Contact Centers: 2025 Strategy + ROI Playbook

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.