Wed.Sep 11, 2024

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Top 05 Emerging Technological Trends in Contact Centers

CCNG

The technological advancements of recent years have paved the way for transformative trends that are reshaping how contact centers operate, deliver services, and engage with customers. Ranging from the intricacies of AI-driven personalization to the influential real-time analytical capabilities shaping proactive decision-making, these trends not only redefine operational structures but also signify a monumental shift in how contact centers engage with customers, aiming to provide unparalleled ex

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Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink

AWS Machine Learning

Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series data include sales revenue, system performance data (such as CPU utilization and memory usage), credit card transactions, sensor readings, and user activity analytics.

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Managed Assurance: Transforming Digital Experience with ThousandEyes on Meraki MX

Cisco - Contact Center

Integrating ThousandEyes with Meraki MX revolutionizes managed services by enhancing network visibility, proactive monitoring, and seamless management, ensuring superior digital experiences and reduced downtime for clients.

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Optimizing MLOps for Sustainability

AWS Machine Learning

Machine learning operations (MLOps) are a set of practices that automate and simplify machine learning (ML) workflows and deployments. What is MLOps provides a detailed description of this concept. As ML workloads become increasingly complex and consume more energy and resources, a growing number of companies are looking for ways to manage both the costs and the carbon footprint associated with these workloads.

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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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Connect in Cancùn with Learning & Certifications

Cisco - Contact Center

Experience the learning, inspiration, and fun with Learning & Certifications at Cisco Connect LatAm in Cancùn, Mexico, September 10-12, 2024.

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Smoking Among Women in Customer Service: Why It Happens and How to Stop It

CSM Magazine

If women dominate one field, it’s arguably customer service. In the US alone, only 27.4% of customer service representatives are men—the other 72.6% are women. Why exactly is that? Front Logix Solutions explains that women are more likely to have the soft skills needed to engage customers and address their queries in a compassionate and empathetic manner.

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Enabling complex generative AI applications with Amazon Bedrock Agents

AWS Machine Learning

In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock , while the second explored building custom generative AI applications with Amazon Bedrock. Now I’d like to take a closer look at Amazon Bedrock Agents , which empowers our customers to build intelligent and context-aware generative AI applications, streamlining complex workflows and delivering natural,

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Specialised Fire & Security Detects a BigChange in Customer Service

CSM Magazine

Specialised Fire & Security is using BigChange job management software to improve customer service with engineers live-linked to back-office systems using a mobile app. Using the system, Specialised has already automated around 80 percent of its routine job management workflows allowing back-office staff and field engineers to focus on the customer experience.

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Generative AI-powered technology operations

AWS Machine Learning

Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context of this post, we refer to these terminologies as TechOps.

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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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Master the Kitchen with Proven Techniques for Consistent Wins

CSM Magazine

Achieving consistency in the kitchen is a skill every home cook aspires to master. From novice chefs to seasoned professionals, everyone benefits from proven techniques that lead to reliable, delicious results. Whether you’re experimenting with new recipes or perfecting classic dishes, there are key strategies you can adopt to ensure every meal turns out exactly how you want it.

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Introducing Amazon EKS support in Amazon SageMaker HyperPod

AWS Machine Learning

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod , a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development.

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Enhance Customer Experience During Contact With AI and Automation

24-7 InTouch

The moment of interaction between an agent and a customer can make or break the relationship. As customers increasingly demand immediate, personalized, and seamless service, businesses are turning to artificial intelligence (AI) and automation to enhance these live interactions. Gone are the days when agents solely relied on their training and intuition—AI now plays a vital role in supporting agents and driving efficiency throughout the customer journey.

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Celebrating Innovation and Connection: Cisco in Paris with NBC Sports

Cisco - Contact Center

Cisco's innovative network solutions played a crucial role in NBCUniversal's extensive and successful coverage of the Olympic and Paralympic Games Paris 2024, showcasing the power of a decade-long partnership in revolutionizing sports broadcasting.

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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.

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Avoiding TCPA Fines: Best Practices for SMS Marketing

TCN

The Telephone Consumer Protection Act (TCPA) is a federal law in the United States designed to protect consumers from unwanted telemarketing calls, text messages and faxes. If contact centers do not comply with the rules set out by the TCPA, they are subject to consequences such as hefty fines and lawsuits. With SMS communication rising […] The post Avoiding TCPA Fines: Best Practices for SMS Marketing appeared first on TCN.

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Revolutionizing Fan Loyalty in Major League Baseball Through Innovative Technology

Concentrix

Discover key factors to effectively leverage advanced technology to drive sports fan loyalty in Major League Baseball (MLB).