AWS Machine Learning

MARCH 22, 2024

Today, jointly with Contentful, we are announcing the launch of the AI Content Generator powered by Amazon Bedrock. This app helps content producers reduce their lead time to publishing content while enhancing the quality and consistency of the content produced. Contentful is an AWS customer and partner.

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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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Benchmark Finance Engineering Enterprise 136

The Northridge Group

APRIL 15, 2024

In Part 1 of this series, Eric Ludwig from RISE Technology Advisors, explained the differences between automation, AI, and generative AI, giving real-world examples of each. Part 2: AI and Business Processes: How can it help? How can it hurt?

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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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ShepHyken

AUGUST 21, 2020

These successful transformation initiatives have built a strong case for a few organizational qualities shared by simplified, flexible, adaptive businesses. In the past, the motivation was more value, better experiences, and revenue generation. One nice example is the simple case of digital transformation.

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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.

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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.

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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

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

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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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.

Enterprise 109

Enterprise Best practices Technology Customer Experience 109

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.

Personalization 88

Personalization Marketing APIs Entertainment 88

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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Lumoa

JANUARY 3, 2023

Surveys are one of the most useful tools out there for gathering quick feedback from customers, and understanding what motivates them. With a track record of working at tech giants like Microsoft and Nokia, he offers top-notch advice to boost response rates while generating deeper insights from survey responses. Avoid bias and priming.

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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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industry standards Engineering Enterprise Government 111

Quality Contact Solutions

OCTOBER 4, 2022

For businesses to be successful, it’s essential to determine how to get quality leads. In today’s business culture, there are so many ways you can go about the crucial lead generation process. Case Study: B2B Lead Generation & Cold Calling. Here’s How to Generate Leads.

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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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Automotive APIs Technology Personalization 104

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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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.

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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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OctopusTech

MARCH 22, 2024

The bot then utilizes this information to generate an appropriate answer, which is returned to the user. How do businesses use Chatbots? Chatbots are often used for a variety of purposes, including: Chatbots can easily manage various customer interactions, from answering frequently asked questions to guiding customers through sales.

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Chatbots Marketing Abandon rate Healthcare 62

Quality Contact Solutions

JULY 11, 2022

Well-qualified leads are critical to a business’s success. While it can sometimes feel like there aren’t enough quality leads for your sales team to hit their goals to grow your business, trust me, there are. Working with a team of B2B lead generation experts also provides the versatility you might not otherwise have.

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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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Chatbots Scripts Enterprise Engineering 52

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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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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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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