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As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG) becomes critical. In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives.
The approach to customer service is rapidly evolving, in no small part due to AI. Interestingly, the surge in AI adoption across organizations comes at a time when many are still grappling with how to meet rising customer expectations. In fact, nearly 70% of consumers feel confident their issue can be resolved over the phone, compared to one-quarter having the same confidence in chatbots and other digital channels.
Today, businesses are using AI and generative models to improve productivity in their teams and provide better experiences to their customers. Personalized outbound communication can be a powerful tool to increase user engagement and conversion. For instance, as a marketing manager for a video-on-demand company, you might want to send personalized email messages tailored to each individual usertaking into account their demographic information, such as gender and age, and their viewing preference
Static surveys have long been the industry standard in VoC. But AI is changing that in exciting ways! Enter conversational surveysan innovative approach that uses AI to turn a static survey into a dynamic, evolving conversation with your customer. And heres the key: the best application of AI in surveys right now isnt about replacing structured surveys.
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.
Today, we are excited to announce that Mistral AI s Pixtral Large foundation model (FM) is generally available in Amazon Bedrock. With this launch, you can now access Mistrals frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS. AWS is the first major cloud provider to deliver Pixtral Large as a fully managed, serverless model.
Personalized self-service has quickly become a necessity for businesses in an era where convenience and efficiency are non-negotiable for customers. Customers today expect faster resolutions, intuitive experiences, and tailored interactions when they engage with your brand. But how can businesses, particularly retailers, deliver seamless, personalized self-service across various channels without compromising user satisfaction?
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Personalized self-service has quickly become a necessity for businesses in an era where convenience and efficiency are non-negotiable for customers. Customers today expect faster resolutions, intuitive experiences, and tailored interactions when they engage with your brand. But how can businesses, particularly retailers, deliver seamless, personalized self-service across various channels without compromising user satisfaction?
Every call counts. Yet, many businesses underestimate the true impact of missed calls. Beyond the immediate loss of potential revenue, unanswered calls can lead to loads of problems. Low customer satisfaction, a (permanently) tarnished reputation, and follow-up issues, to name a few.
By automating interactions with natural, human-like conversations, businesses can not only save time but also enhance the overall customer experience. Here, well explore how conversational AI works, its benefits, and steps to get started. What is Conversational AI? Conversational AI refers to technology (like AI-powered chatbots) that enables automated communication, mimicking human interactions through text or voice.
Financial institutions today face an increasingly complex regulatory world that demands robust, efficient compliance mechanisms. Although organizations traditionally invest countless hours reviewing regulations such as the Anti-Money Laundering (AML) rules and the Bank Secrecy Act (BSA) , modern AI solutions offer a transformative approach to this challenge.
Guadalajara International Airport (GDL), Mexico, has earned the prestigious 2024 Airport Experience Award in the “Airport Service Quality” (ASQ) category from Airports Council International (ACI). A Commitment to Excellence The ASQ program, recognized as the worlds leading airport passenger satisfaction initiative, evaluates more than 400 airports in 110 countries.
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.
A lot of businesses collect customer feedbackbut do they turn it into real insight, or just a stack of random data? An even bigger question: do they actually know which types of customer satisfaction surveys best match their goals? When most people talk about different survey types, they focus on delivery formats: online surveys, phone surveys, mail surveys, or paper forms.
LuLu Hypermarket has added another illustrious accolade to its name by earning a spot in the Top 10 Brands 2024 at the prestigious Service Hero Customer Satisfaction Index Awards. This achievement serves as a testament to LuLus unwavering commitment to delivering outstanding customer service and exceeding shopper expectations across every touchpoint.
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On 256 Amazon EC2 P5 instances (p5.48xlarge, each with 8 NVIDIA H100 GPUs), this would take approximately 132 days.
Two industry leaders, 3CLogic and Glidefast Consulting , have joined forces to deliver a powerful, integrated solution that bridges the gap between digital workflows and human interactions on ServiceNow. This expanded partnership builds on their shared vision of transforming customer engagement through advanced Contact Center-as-a-Service (CCaaS) and CRM solutions tailor-made for the ServiceNow ecosystem.
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.
What is Data Ownership? Data ownership refers to the rights and control of specific sets of data assigned to an entity. It defines who has the legal right to control, utilize, and manage data. It establishes clear lines of responsibility and accountability for the data, ensuring that it is accurate, reliable, and secure. Data ownership is a critical aspect of data governance, providing a framework for managing data across the organization.
Introduction In todays hypercompetitive market, having a fantastic product is no longer enough to guarantee sales success. The difference between a sales team that hits targets and one that consistently exceeds them often lies in the support structure around itsales enablement. This strategic discipline ensures that salespeople have the necessary tools, content, processes, and technology to engage buyers effectively and close deals more efficiently.
Introduction What is the biggest challenge that a sales team faces? No matter which product you sell, which strategies you adopt, or how big the sales team is, the biggest challenge that sales teams face is stagnant sales growth. Every sales team wants to increase sales figures and boost revenue. However, time and resource constraints always hinder productivity, and growth takes a hit.
Introduction The needs and preferences of buyers are changing rapidly. Sales teams must not only require meeting them but also personalize their experience at every step of the sales cycle. This requires accurate and relevant information on potential leads. They cannot rely on guesswork or assumptions to understand market dynamics. Sales teams today need relevant data and insights to meet the buyer expectations precisely.
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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