Fri.Nov 01, 2024

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments.

APIs 117
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Network Hacking Course Pairs with Cisco Modeling Labs

Cisco - Contact Center

If you’ve ever been to Cisco Live and seen the booth with a display for you to pick locks, then you know about the Cisco Advanced Security Initiatives Group (ASIG). We are chartered with security testing and ethical hacking for all Cisco products and services, whether in the cloud or on-premises.

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Use Amazon Q to find answers on Google Drive in an enterprise

AWS Machine Learning

Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while adhering to the security and access restrictions of the content. You can tailor Amazon Q Business to your specific business needs by connecting to your company’s information and enterprise systems using built-in connectors to a variety of enterprise data sources.

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Changing the Game for our Customers and Partners with One Cisco

Cisco - Contact Center

In this new AI era, the technology landscape has forever changed how people and technology work across our physical and digital worlds. Learn how Cisco is strategically evolving how they do business – connecting the digital world to your most important asset, your people.

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The Contact Center Manager’s Guide to AI

Step-by-step instructions on how to use AI for growth in your contact center Learn how AI can transform your contact center operations. In this ebook, dig into the different AI technologies, then see how each can help automate tasks, streamline service, and turn your contact center from a cost center to a profit house. Plus, we’ll give you practical tips on choosing the right AI tools, getting them up and running, and measuring their impact.

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How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot

AWS Machine Learning

This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Independent software vendors (ISVs) like Druva are integrating AI assistants into their user applications to make software more accessible.

APIs 92

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning

Traditionally, clinical trials not only place a significant burden on patients and participants due to the costs associated with transportation, lodging, meals, and dependent care, but also have an environmental impact. With the advancement of available technologies, decentralized clinical trials have become a widely popular topic of discussion and offer a more sustainable approach.

Metrics 85
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5 Powerful Benefits of a Virtual Receptionist Service

Abby Connect

There are many benefits of a virtual receptionist service. And as a savvy business owner, you know you need partnerships if you want your business to thrive. No matter the size of your business, customer interactions can make or break your company. Even the U.S. government understands the importance of customer experience.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.

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Test Posting

Cisco - Contact Center

Test

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Frost Radar: Voice of Customer Analytics, 2024

Understanding and improving your customer experience (CX) can have a massive impact on your bottom line. Choosing the right voice of customers (VoC) solution is a critical step to elevating CX. Frost & Sullivan researched more than 50 leading VoC vendors, analyzing both their “innovation index” and “growth index” to independently select the top 10 performers in each of these categories.

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Customer Advocacy: The Secret Sauce

Brad Cleveland Blog

There’s a scene in the movie Jobs, the biographical drama of Steve Jobs’ life, where he is shown fiddling with a portable CD player. It’s clumsy, heavy, and he struggles to get the CD loaded. The next scene shows him throwing … Continue reading → The post Customer Advocacy: The Secret Sauce appeared first on Brad Cleveland.