AWS Machine Learning

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

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AWS Machine Learning

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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AWS Machine Learning

APRIL 8, 2024

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. Llama 2-70B-Chat Llama 2-70B-Chat is a powerful LLM that competes with leading models.

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Comm100

JANUARY 17, 2024

At its core, it involves using software, AI, and other digital tools to automate customer service processes, thereby enhancing efficiency and customer experience. Here are some of them most effective automation technologies being used by customer service and support teams today: Automation solutions 1.

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AWS Machine Learning

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Apply the trained model to make predictions of future events.

Effort Score 113

Effort Score Training Analytics Retail 113

AWS Machine Learning

NOVEMBER 26, 2023

Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Whether you’re looking for a managed solution or build your own, you can use these new capabilities to power your journey.

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AWS Machine Learning

SEPTEMBER 28, 2023

Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. At the same time, the unstructured nature of much of this content makes it time consuming to find answers using traditional search.

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AWS Machine Learning

NOVEMBER 13, 2023

One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus. Retrieval-Augmented Generation (RAG) is a popular technique for building question answering systems that use an external knowledge base. Consider the following example.

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AWS Machine Learning

MARCH 1, 2024

With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). For RAG-based applications, the accuracy of the generated response from large language models (LLMs) is dependent on the context provided to the model.

Knowledge Base 109

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Brandwatch CX

JANUARY 29, 2024

Your social media platforms can be a gold mine for leads. Brandwatch uses our presence on sites like LinkedIn and Twitter to generate leads, so we’re going to preach what we practice. If you get it right, social media lead generation is a viable and valuable strategy. How do they use these channels?

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TechSee

FEBRUARY 12, 2024

This post will explore how enterprise leaders can find the optimal first initiative for using AI to augment or automate their customer experience or service. This will help them to determine the best use cases for AI and prioritize their deployment.

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AWS Machine Learning

MARCH 27, 2024

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock , that is able to understand prompts describing multiple objects in various contexts and captures these relevant details in the images it generates. It is available in US East (N.

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AWS Machine Learning

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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AWS Machine Learning

MARCH 11, 2024

In this post, we show you how VistaPrint uses a combination of Amazon Personalize , Twilio Segment , and auxiliary AWS services and partner solutions to better understand their customers’ needs and provide personalized product recommendations. In VistaPrint’s case, they use the User-Personalization and Similar-Items model recipes.

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AWS Machine Learning

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs.

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AWS Machine Learning

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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AWS Machine Learning

FEBRUARY 1, 2024

To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared. In this post, we describe how use generative AI to update and scale your data pipeline using Amazon SageMaker Canvas for data prep.

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AWS Machine Learning

OCTOBER 27, 2023

Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. However, generative AI alone isn’t enough to deliver engaging customer communication.

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AWS Machine Learning

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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Magellan Solutions

JULY 13, 2023

Are you planning to embrace AI tools to streamline your lead-generation strategies? Lead generation is a crucial aspect of sales and marketing. This process involves nurturing prospects through social media marketing, gamification, whitepapers, online courses, or other lead generation strategies.

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AWS Machine Learning

NOVEMBER 28, 2023

In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. To realize the full potential of generative AI, however, it’s important to carefully reflect on any potential risks.

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Beyond Philosophy

AUGUST 20, 2020

How we share information is affected by the medium that we use to communicate it. Professor Melumad published a paper last year that examines how the way we express ourselves in different types of user-generated content is affected by the device we use to write them. However, will that always be the case?

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Blake Morgan

FEBRUARY 27, 2024

                                            Generative AI, a rapidly evolving technology, is poised to revolutionize various aspects of business, particularly customer experience (CX). senior executives have already embraced generative AI, and this trend is expected to accelerate.

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Customer Experience Customer Satisfaction Study Trends 59

AWS Machine Learning

APRIL 8, 2024

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For RAG-based applications, the accuracy of the generated responses from FMs depend on the context provided to the model.

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AWS Machine Learning

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that will be deployed on Qualcomm devices.

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AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

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West Monroe

SEPTEMBER 17, 2023

Following previously hot consumer pushes in VR and crypto, it’s valid to be skeptical of the most recent fad in the business world: generative artificial intelligence (Gen AI). Featured Content From hype to action: A deep dive into generative AI Read More Currently, only 37% of all sales organizations use any AI in their sales process.

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AWS Machine Learning

MARCH 12, 2024

Advertisers, publishers, and advertising technology providers are actively seeking efficient ways to collaborate with their partners to generate insights about their collective datasets. Common methods for sharing data, such as using pixels and SFTP transfers, can carry risk because they involve moving sensitive customer information.

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AWS Machine Learning

DECEMBER 14, 2023

Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural design and visualization, artistic creations, and medical imaging.

Entertainment 94

Entertainment Guidelines Advertising Resources 94

Inbenta

DECEMBER 21, 2023

Generative AI has caught the attention of consumers and businesses the world over. Many see Generative AI as a revolutionary new way to create novel content, speed up content development timelines, and act as a sorting tool capable of surfacing answers instantly. What is Generative AI?

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AWS Machine Learning

NOVEMBER 8, 2023

Amazon CodeWhisperer is a generative AI coding companion that speeds up software development by making suggestions based on the existing code and natural language comments, reducing the overall development effort and freeing up time for brainstorming, solving complex problems, and authoring differentiated code.

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COPC

JUNE 9, 2023

Webinar: Considerations for Navigating AI in CX Explore approaches to using artificial intelligence AI to service your customers. This webinar provides a framework for using the multiple types of AI needed to operate the future of customer experience (CX). Nexcom A/S and COPC Inc.

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AWS Machine Learning

SEPTEMBER 6, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support.

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Policies Insurance Advertising Resources 95

AWS Machine Learning

AUGUST 30, 2023

Customers now want to apply the power of large language models (LLMs) to further improve the customer experience with generative AI capabilities. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational.

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Totango

APRIL 9, 2024

“I’m really geeking out about what we’re learning [regarding] rolling out a digital customer success strategy [focused on] product insights — not just if the customer is using the product, but which aspects they’re using and how we can double down on those to drive retention and growth,” she said. “My

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AWS Machine Learning

MARCH 28, 2024

Although the resulting models yield amazingly good results for general tasks, such as text generation and entity recognition, there is evidence that models trained with domain-specific datasets can further improve LLM performance. To develop financial LLMs, you can use two important data sources: News CommonCrawl and SEC filings.

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AWS Machine Learning

JANUARY 9, 2024

With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Large language models (LLMs) are a type of FM that generate text as a response of the user inference.

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