Fri.Nov 22, 2024

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. To view this series from the beginning, start with Part 1. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

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Understanding the Rapidly Evolving Landscape of Conversational AI Solutions with Interactions

Interactions

The Conversational AI (CAI) landscape is transforming at lightning speed, driven by advancements in Generative AI (GenAI) and large language models (LLMs). As enterprises seek new ways to automate processes, enhance customer interactions, and optimize employee productivity, conversational AI solutions have become essential to achieving these goals. However, in a crowded and competitive market, finding the right CAI partner that aligns with your organization’s objectives can be challenging.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

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How Can Realistic AI Voices Transform Communication?

CSM Magazine

In business, communication is everything. Think we’re exaggerating? Think again: according to a Zendesk study , 97% of respondents said that bad customer service changed their buying behavior. The same study found that excellent customer service requires a wide range of channels, including email, phone, live chat, and social media. Indeed, the way you communicate – whether that’s with clients, customers, or even your own team – can make or break your message.

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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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How to empower your CSMs to own and analyze customer churn

ChurnZero

Nothing in customer success causes CSMs to catch “feelings”, as Naomi Aiken puts it, as reliably as losing a customer. Churn often brings feelings of shame, blame, and frustration in its wake, making it hard to analyze and learn from the loss. But what if you could break the cycle? A former ChurnZero CSM and team leader, and now the founder of Techtonic Lift , Naomi has developed the Outcomes Club format for learning from churn.

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The Customer Adoption Journey of Cisco Secure Workload

Cisco - Contact Center

Explore the customer adoption journey of Cisco Secure Workload, with key stages and best practices for successful implementation highlighted.

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How to Avoid Scams in Aussie Online Casinos

CSM Magazine

Australian online casino industry has grown very fast, offering some great experiences in gaming, with the probability of winning big. With online gambling on the increase, what one needs to know is how not to get scammed and how to stay safe. While most online casinos provide legitimate gaming, some platforms look out only to take advantage of players.

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Why Cisco Leads with Wi-Fi 7: Transforming Future Connectivity

Cisco - Contact Center

This blog explores why Cisco is the leading choice for Wi-Fi 7, showcasing innovative solutions that provide enhanced speed, security, and reliability. Learn how Cisco helps future-proof your network for the next era of connectivity.

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How to empower your CSMs to own and analyze customer churn

ChurnZero

Nothing in customer success causes CSMs to suffer “feelings”, as Naomi Aiken puts it, as reliably as losing a customer. Churn often brings feelings of shame, blame, and frustration in its wake, making it hard to analyze and learn from the loss. But what if you could break the cycle? A former ChurnZero CSM and team leader, and now the founder of Techtonic Lift , Naomi has developed the Outcomes Club format for learning from churn.

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Next-Gen Cloud Contact Centers For Dummies®

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.

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The AI Hallucination Problem I Why accurate customer feedback analysis matters

Hello Customer

Learn why relying on general AI tools like ChatGPT for customer feedback analysis can lead to misleading insights. This is how Hello Customer's AI offers verified, consistent, and GDPR-compliant customer insights without the risk of hallucinations.

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Clinical Services

Concentrix

Enhance health outcomes, increase revenue, and reduce costs with a holistic approach to comprehensive care and resource optimization.

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What's The Best Free Live Chat Software? 8 Top Options

Help Scout

Learn why free live chat software could be a great addition to your support stack, and discover the top 8 options to consider in 2025.

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Amazon Bedrock Flows is now generally available with enhanced safety and traceability

AWS Machine Learning

Today, we are excited to announce the general availability of Amazon Bedrock Flows (previously known as Prompt Flows). With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

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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Repricer Tool for Walmart: How to Stay Competitive

CSM Magazine

In the changing realm of retailing, where staying ahead is crucial for triumph, pricing tactics play a key role for vendors operating on Walmart’s site by significantly impacting sales results. repricer stands out as an asset by allowing companies to modify prices promptly to stay competitive and boost earnings to the potential. This piece explores its advantages and provides insights on how sellers can make the most of this tool.

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Amazon SageMaker Inference now supports G6e instances

AWS Machine Learning

As the demand for generative AI continues to grow, developers and enterprises seek more flexible, cost-effective, and powerful accelerators to meet their needs. Today, we are thrilled to announce the availability of G6e instances powered by NVIDIA’s L40S Tensor Core GPUs on Amazon SageMaker. You will have the option to provision nodes with 1, 4, and 8 L40S GPU instances, with each GPU providing 48 GB of high bandwidth memory (HBM).

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Free Casino Promo Codes: Your Key to Extra Wins and Free Play

CSM Magazine

A vital component of the online gaming experience, casino promotions provide players with more opportunities to win and extend their playtime without having to spend more money. Among these promos, free casino promo codes, more especially, no deposit incentives for current users, have become somewhat sought after. Although you may already be aware of these deals if you play often, they have great worth that will greatly improve your gaming experience.

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Improve factual consistency with LLM Debates

AWS Machine Learning

In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth. In this LLM debate, we have two debater LLMs, each one taking one side of an argument and defending it based on the previous arguments for N(=3) rounds. The arguments are saved for a judge LLM to review. After N(=3) rounds, the same judge LLM with no access to original dataset but only with the LLM arguments decides which side is correct.

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Case Study: Key Insights on Wait Times and Customer Service

Faster response times mean happier customers Are your customers on hold too long? Nearly half of consumers find hold times unacceptable, and a quarter will leave your brand because of it. Our latest report reveals how companies are affected by wait times and the impact on customer satisfaction. Read the report to get insights into the impact of long hold times and areas for opportunities.

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Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

AWS Machine Learning

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, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. With Amazon Bedrock, you can experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as

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Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations.

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Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA

AWS Machine Learning

Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the increase in sizes of these pre-trained LLMs, the model customization process becomes complex, time-consuming, and often prohibitively expensive for most org

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