Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

Favorite As the scale and complexity of data handled by organizations increase, traditional rules-based approaches to analyzing the data alone are no longer viable. Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and

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Shared by AWS Machine Learning August 12, 2024

Discover insights from Box with the Amazon Q Box connector

Favorite Seamless access to content and insights is crucial for delivering exceptional customer experiences and driving successful business outcomes. Box, a leading cloud content management platform, serves as a central repository for diverse digital assets and documents in many organizations. An enterprise Box account typically contains a wealth of materials,

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Shared by AWS Machine Learning August 8, 2024

How Cisco accelerated the use of generative AI with Amazon SageMaker Inference

Favorite This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of cloud-based collaboration solutions, including video meetings, calling, messaging, events, polling, asynchronous video, and customer experience solutions like contact center and purpose-built collaboration devices. Webex’s focus on delivering inclusive collaboration

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Shared by AWS Machine Learning August 8, 2024

Cisco achieves 50% latency improvement using Amazon SageMaker Inference faster autoscaling feature

Favorite This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of cloud-based collaboration solutions which includes video meetings, calling, messaging, events, polling, asynchronous video and customer experience solutions like contact center and purpose-built collaboration devices. Webex’s focus on delivering inclusive

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Shared by AWS Machine Learning August 8, 2024

Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

Favorite Innovations in artificial intelligence (AI) and machine learning (ML) are causing organizations to take a fresh look at the possibilities these technologies can offer. As you aim to bring your proofs of concept to production at an enterprise scale, you may experience challenges aligning with the strict security compliance

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Shared by AWS Machine Learning August 7, 2024

Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

Favorite AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context. Most common use cases for

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Shared by AWS Machine Learning August 7, 2024

Inference AudioCraft MusicGen models using Amazon SageMaker

Favorite Music generation models have emerged as powerful tools that transform natural language text into musical compositions. Originating from advancements in artificial intelligence (AI) and deep learning, these models are designed to understand and translate descriptive text into coherent, aesthetically pleasing music. Their ability to democratize music production allows individuals

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Shared by AWS Machine Learning August 6, 2024

Use Amazon Bedrock to generate, evaluate, and understand code in your software development pipeline

Favorite Generative artificial intelligence (AI) models have opened up new possibilities for automating and enhancing software development workflows. Specifically, the emergent capability for generative models to produce code based on natural language prompts has opened many doors to how developers and DevOps professionals approach their work and improve their efficiency.

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Shared by AWS Machine Learning August 6, 2024