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Reimagining software development with the Amazon Q Developer Agent

AWS Machine Learning

This post describes how to get started with the software development agent, gives an overview of how the agent works, and discusses its performance on public benchmarks. This is an overview of the system as of May 2024. A single metric never tells the whole story. The success metric for SWE-bench is binary.

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Expansion is a Team Sport: Strategies for Aligning CS and Sales in 2024

Totango

That way, both teams can use those outcomes as a benchmark of success throughout the customer journey. Strategy #3: Share revenue responsibility and success metrics There’s been a major shift in the B2B space over the past few years. This doesn’t just provide a useful shared goal.

Sales 100
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Four key insights for SaaS and CS leaders from the 2024 B2B SaaS Benchmarking Survey

ChurnZero

The 2024 B2B SaaS Benchmarking Survey by SaaS Capital is the most comprehensive and up-to-date source of its kind for SaaS and customer success leaders who want to know where they stand compared to peers and competitors. To find out more about the survey, and see more research and benchmarking data, visit SaaS Capital here.

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Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock

AWS Machine Learning

As new embedding models are released with incremental quality improvements, organizations must weigh the potential benefits against the associated costs of upgrading, considering factors like computational resources, data reprocessing, integration efforts, and projected performance gains impacting business metrics.

Benchmark 112
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

We also released a comprehensive study of co-training language models (LM) and graph neural networks (GNN) for large graphs with rich text features using the Microsoft Academic Graph (MAG) dataset from our KDD 2024 paper. To address this, with GraphStorm 0.3, Dataset Num. of nodes Num. of edges Num. of node/edge types Num.

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Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning

According to New Relic’s 2024 Observability Forecast , businesses face a median annual downtime of 77 hours from high-impact outages. It examines service performance metrics, forecasts of key indicators like error rates, error patterns and anomalies, security alerts, and overall system status and health. million per hour.

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Data Governance in the Age of AI: A Competitive Edge for Business Leaders

COPC

In 2024 alone, 11x more AI models were put into production than last year, showing a clear shift from experimentation to real-world application. Real-time insights from sources like sales metrics, customer interactions, and digital analytics help businesses stay competitive by spotting trends early and seizing opportunities.