Tag: AWS Partner Solution

The integration of Flywheel with Amazon S3 offers a powerful solution for streamlining medical imaging workflows. This combination enables healthcare organizations to efficiently manage, analyze, and share vast amounts of imaging data while significantly reducing costs and preparation time.

BMC’s HelixGPT, combined with Amazon Web Services, can transform IT operations by reducing Mean Time To Repair (MTTR) and enhancing decision-making processes.

Discover how HERE Technologies and AWS are revolutionizing sustainable transportation and logistics through advanced location intelligence. This blog explores how cutting-edge location based solutions, built on AWS, optimize fleet operations, reduce emissions, and improve efficiency. Learn about smart route optimization, real-time tracking, and weather-informed decision-making that can help businesses achieve up to 20% reduction in route times, fuel costs, and carbon footprint while meeting the demands of a global economy.

This post will explore what a composable CDP is and why organizations are embracing this new approach to data activation. Additionally, it will explain how organizations can integrate GrowthLoop’s composable CDP platform with their existing AWS infrastructure to enable an AI-powered feedback loop for smarter campaign activation.

The growing demand for generative AI (GenAI) applications has led to a corresponding demand for compute resources that can run these workloads efficiently. In this post we share a step-by-step guide for optimizing GenAI inference workloads using AWS Graviton-based instances. We walk you through downloading Arcee AI SLMs, applying quantization techniques, and deploying models for efficient inference on AWS Graviton instances.

Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS’s advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers’ individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we’ll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.

As organizations rapidly adopt generative AI models in enterprise workflows, they face increasing security risks such as prompt injection attacks, model poisoning, and data extraction vulnerabilities. This blog demonstrates how Protect AI’s Guardian and Recon tools integrate with Amazon Bedrock to secure DeepSeek model deployments.

Explore how ServiceNow’s Cloud Account Management (CAM) provides visibility across customers AWS environments to solve common cloud management challenges and help IT Operations teams deliver a more controlled, cost-efficient, and compliant cloud environments. CAM supports critical functions like account suspension, reactivation, and certification to ensure compliance with security and governance standards. By automating workflows and providing visualization tools, ServiceNow CAM enhances operational efficiency, reduces manual overhead, and strengthens security for managing AWS Accounts at scale

In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.

As customer expectations evolve and data volumes grow exponentially, organizations face unprecedented challenges in managing and activating customer data effectively. Snowplow, a behavioral data collection platform, combined with Databricks Lakehouse platform, creates a scalable foundation for building a next-generation composable CDP on AWS. This solution enables organizations to collect, process, and activate customer data at scale while maintaining complete data ownership and control.