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I recently saw a picture of an old Steak ‘n Shake restaurant. It reminded me of when my grandparents used to take me to Steak ‘n Shake every Sunday for lunch. As a kid, I loved their slogan, which was a rhyme: “In Sight, It Must Be Right.” The slogan originated from the restaurant’s founder, Gus Belt, who would bring a barrel of steaks into the restaurant and grind them into burgers in front of the customers.
Many brands today claim to be consumer-first or consumer-led. However, their attempts often fall short of expectations, resulting in actions that lack the authenticity and depth consumers seek. Radical Consumer Centricity changes that. This approach involves embedding consumer insights into every part of a company, driving long-term success by anticipating and meeting consumer needs precisely.
This post is co-written with Curtis Maher and Anjali Thatte from Datadog. This post walks you through Datadog’s new integration with AWS Neuron , which helps you monitor your AWS Trainium and AWS Inferentia instances by providing deep observability into resource utilization, model execution performance, latency, and real-time infrastructure health, enabling you to optimize machine learning (ML) workloads and achieve high-performance at scale.
Choosing a call center service provider is an important decision that affects customer satisfaction, ongoing efficiency, and brand reputation. Customer interactions can be improved, workflows can be streamlined, and cutting-edge technology solutions can be provided by the right provider, elevating your business. Inefficiencies, higher costs, and customer dissatisfaction can be led to by a mismatched provider—this can happen.
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.
Large language models (LLMs) have come a long way from being able to read only text to now being able to read and understand graphs, diagrams, tables, and images. In this post, we discuss how to use LLMs from Amazon Bedrock to not only extract text, but also understand information available in images. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI
Meesho, the rapidly growing social eCommerce platform has introduced an AI-powered voicebot to enhance user experience and provide round-the-clock customer support. Key highlights from the launch include: 24/7 Availability: The voicebot allows customers to receive support at any time, addressing queries and issues without delays. Cost Reduction: Meesho reports that the implementation of agentic AI has led to a 90% reduction in customer support chat costs, demonstrating significant operational ef
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Meesho, the rapidly growing social eCommerce platform has introduced an AI-powered voicebot to enhance user experience and provide round-the-clock customer support. Key highlights from the launch include: 24/7 Availability: The voicebot allows customers to receive support at any time, addressing queries and issues without delays. Cost Reduction: Meesho reports that the implementation of agentic AI has led to a 90% reduction in customer support chat costs, demonstrating significant operational ef
This is a guest article by Swati Garg , founder and CEO, Melo Associates , and Lindsay Lynch , senior recruitment consultant, Melo Associates , a recruitment firm focused on customer success hiring for SaaS and tech companies nationwide. Hiring the right talent for your company’s customer success team determines its success. A clear, detailed, and well-written customer success job description is essential to attract the right candidate while providing important information about th
A well-designed customer journey has become essential for brand success, with 73% of consumers emphasizing that customer experience strongly influences their purchasing choices. As expectations rise, companies are increasingly turning to advanced platforms like MarketOwl to harness AI for customer engagement and deliver seamless, personalized interactions across various channels.
Have you ever think how companies make sure they don’t phone customers who are not interested? For this purpose, companies choose DNC scrubbing which is the method to give protection by eliminating phone numbers that are on federal do not call registers. It is necessary to comply with Federal laws and state regulations when you trying to maintain marketing compliance.
The mortgage industry has come a long way from piles of paperwork and lengthy approval processes. Thanks to advances in technology, getting a mortgage has never been more streamlined or customer-friendly. Today’s digital tools are transforming how mortgage lenders interact with clients, making the experience faster, more transparent, and less stressful.
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.
Technology – if harnessed effectively – can help companies improve customer experience by providing proactive support during today’s tough economic climate. Richard Farrell, CIO at Netcall , explains. Amid the ongoing cost of living crisis, people are struggling to afford the essentials. And when they reach out for help, often utility providers – including water, electricity, and gas, are failing to respond in a way that is frictionless and satisfactory due to a lack of digital capability, along
See how resilience and purpose led Hector C. from military service to a fulfilling career at Cisco, where he is empowering communities and driving innovation.
Cirrus, the UK’s premier provider of contact centre solutions, has announced an exciting new partnership with NICE. The addition of NICE’s AI-powered platform to Cirrus’s portfolio marks a transformative moment for small-to-medium-sized enterprises (SMEs) in the UK, elevating customer engagement, streamlining operations, and driving business growth through cutting-edge technology, By adding NICE CXone Mpower into its comprehensive portfolio, Cirrus is enhancing its ability to deliver bespoke, AI
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.
Cisco's new SD-WAN Configuration Catalog simplifies industrial deployments - reducing setup time, errors, and enhancing security for Industrial IoT networks
Marketplaces have transformed the shopping and selling landscape for consumers worldwide. The platform in question is recognized for its focus on fashion and lifestyle items. It includes a functionality known as Poshmark Offers. This particular tool has the potential to greatly augment sales figures if employed strategically. This article delves into ways in which sellers can make optimal use of this feature to elevate their business endeavors.
See how a financial services provider optimized customer engagement and boosted efficiency with AWS and iX Hello for seamless, round-the-clock operations.
In the field of generative AI , latency and cost pose significant challenges. The commonly used large language models (LLMs) often process text sequentially, predicting one token at a time in an autoregressive manner. This approach can introduce delays, resulting in less-than-ideal user experiences. Additionally, the growing demand for AI-powered applications has led to a high volume of calls to these LLMs, potentially exceeding budget constraints and creating financial pressures for organizatio
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!
Each year, it is our honor to celebrate our shared achievements with our ecosystem of Cisco Learning Partners. Our Learning Partners are at the forefront of upskilling individuals and teams, closing the IT skills gap, and driving business outcomes through top-tier training programs.
This post is co-written with Isaac Smothers and James Healy-Mirkovich from Crexi. With the current demand for AI and machine learning (AI/ML) solutions, the processes to train and deploy models and scale inference are crucial to business success. Even though AI/ML and especially generative AI progress is rapid, machine learning operations (MLOps) tooling is continuously evolving to keep pace.
Employee recognition is an essential component of fostering a productive and motivated workforce. As highlighted by Forbes , recognition is pivotal to employee engagement, with its significance expected to grow in 2025. By celebrating achievements, recognising efforts, and rewarding contributions, businesses can enhance employee morale, boost retention rates, and improve overall performance.
Hallucinations in large language models (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but factually incorrect or made-up. This can occur when the model’s training data lacks the necessary information or when the model attempts to generate coherent responses by making logical inferences beyond its actual knowledge.
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.
Key takeaways : It’s time to take action. Big or small, it’s time to put AI-enabled actions into workflows and empower individuals to learn with these new tools. Measure outcomes from AI-driven enhancements. To gain traction, leaders must translate how improvements or efficiencies gained from implementing AI solutions result in either more revenue in the door or less costs out the door.
This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. Since 2018, using state-of-the-art proprietary and open source large language models (LLMs), our flagship product— Rad AI Impressions — has significantly reduced the time radiologists spend dictating reports, by generating Impression sections.
Maintaining a clean and safe business property is essential for operational efficiency and employee satisfaction. A clean environment not only boosts morale but also creates a positive impression on clients and visitors. Furthermore, ensuring safety reduces the risks of accidents, enhancing productivity. Implementing effective practices for cleanliness can be straightforward yet impactful.
Stock technical analysis questions can be as unique as the individual stock analyst themselves. Queries often have multiple technical indicators like Simple Moving Average (SMA), Exponential Moving Average (EMA), Relative Strength Index (RSI), and others. Answering these varied questions would mean writing complex business logic to unpack the query into parts and fetching the necessary data.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Managing project resources, especially in a multi-project environment, can be really challenging: you can face resource conflicts, difficulties in forecasting future resource needs, large amounts of data, etc. This is where AI and predictive analytics in particular come into play. Read this article to learn more about predictive analytics and its applications in AI resource management.
The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability.
Running a law firm can feel like juggling a hundred balls at once. You’ve got cases to manage, deadlines to track, clients to keep happy, and billing to handle — all while trying to grow your practice. It’s a lot. The good news? Automation can take some of the pressure off by helping you streamline your operations, save time, and focus on what you do best: practicing law.
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