Artificial Intelligence

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Optimizing Salesforce’s model endpoints with Amazon SageMaker AI inference components

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Customer Solutions /

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Platform Model Serving team is dedicated to developing and managing services that power large language models (LLMs) and other AI workloads within Salesforce. Their main focus […]

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Bringing agentic Retrieval Augmented Generation to Amazon Q Business

Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI /

Amazon Q Business is a generative AI-powered enterprise assistant that helps organizations unlock value from their data. By connecting to enterprise data sources, employees can use Amazon Q Business to quickly find answers, generate content, and automate tasks—from accessing HR policies to streamlining IT support workflows, all while respecting existing permissions and providing clear citations.

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Citations with Amazon Nova understanding models

Amazon Bedrock, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Intermediate (200) /

Large language models (LLMs) have become increasingly prevalent across both consumer and enterprise applications. However, their tendency to “hallucinate” information and deliver incorrect answers with seeming confidence has created a trust problem. Think of LLMs as you would a human expert: we typically trust experts who can back up their claims with references and walk

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Securely launch and scale your agents and tools on Amazon Bedrock AgentCore Runtime

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence /

Organizations are increasingly excited about the potential of AI agents, but many find themselves stuck in what we call “proof of concept purgatory”—where promising agent prototypes struggle to make the leap to production deployment. In our conversations with customers, we’ve heard consistent challenges that block the path from experimentation to enterprise-grade deployment: “Our developers want

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Amazon Bedrock AgentCore Memory: Building context-aware agents

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence /

AI assistants that forget what you told them 5 minutes ago aren’t very helpful. While large language models (LLMs) excel at generating human-like responses, they are fundamentally stateless—they don’t retain information between interactions. This forces developers to build custom memory systems to track conversation history, remember user preferences, and maintain context across sessions, often solving

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How Indegene’s AI-powered social intelligence for life sciences turns social media conversations into insights

AI/ML, Amazon Bedrock, Amazon SageMaker AI, Analytics, Artificial Intelligence, Customer Solutions, Generative AI, Healthcare, Intermediate (200), Life Sciences /

This post is co-written with Rudra Kannemadugu and Shravan K S from Indegene Limited. In today’s digital-first world, healthcare conversations are increasingly happening online. Yet the life sciences industry has struggled to keep pace with this shift, facing challenges in effectively analyzing and deriving insights from complex medical discussions on a scale. This post will

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Unlocking enhanced legal document review with Lexbe and Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Intermediate (200) /

This post is co-authored with Karsten Weber and Rosary Wang from Lexbe. Legal professionals are frequently tasked with sifting through vast volumes of documents to identify critical evidence for litigation. This process can be time-consuming, prone to human error, and expensive—especially when tight deadlines loom. Lexbe, a leader in legal document review software, confronted these

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Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. These pre-trained, text-only Transformer models are built on a Mixture-of-Experts (MoE) architecture that activates only a subset of parameters per token, delivering high reasoning performance while reducing compute costs. They specialize in

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The DIVA logistics agent, powered by Amazon Bedrock

Amazon Bedrock, Artificial Intelligence, Customer Solutions /

DTDC is India’s leading integrated express logistics provider, operating the largest network of customer access points in the country. DTDC’s technology-driven logistics solutions cater to a wide range of customers across diverse industry verticals, making them a trusted partner in delivering excellence. DTDC Express Limited receives over 400,000 customer queries each month, ranging from tracking

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Automate enterprise workflows by integrating Salesforce Agentforce with Amazon Bedrock Agents

Amazon Bedrock Agents, Artificial Intelligence, AWS Partner Network, Intermediate (200), Partner solutions, Technical How-to /

AI agents are rapidly transforming enterprise operations. Although a single agent can perform specific tasks effectively, complex business processes often span multiple systems, requiring data retrieval, analysis, decision-making, and action execution across different systems. With multi-agent collaboration, specialized AI agents can work together to automate intricate workflows. This post explores a practical collaboration, integrating Salesforce

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