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

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

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 gain operational efficiencies at scale. Furthermore, …

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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

This post is co-written by Kevin Plexico and Shakun Vohra from Deltek. Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. Retrieval Augmented Generation (RAG) has emerged as a leading method for using the power of large language models …

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

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

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 collaboration experiences fuels our innovation, which …

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

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

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 experiences fuels their innovation, which uses …

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Discover insights from Box with the Amazon Q Box connector

Discover insights from Box with the Amazon Q Box connector

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, including documents, presentations, knowledge articles, and …

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

This post is co-written with Aishwarya Gupta, Apurva Gawad, and Oliver Cody from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, …

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

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

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 chatbot assistants focus on a few …

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

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

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 requirements of their organization. In the …

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Build custom generative AI applications powered by Amazon Bedrock

Build custom generative AI applications powered by Amazon Bedrock

With last month’s blog, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the …

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

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

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. In this post, we provide an …

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