Category: Artificial Intelligence

Discover how Amplitude’s integration with Amazon Bedrock enables AI-powered product analytics to help organizations automatically detect user friction points, recommend solutions, and implement changes in real time. Learn how this AWS Partner solution transforms analytics from a reactive to proactive process, helping teams drive product growth through automated insights and experimentation. Amplitude has collaborated with AWS to introduce Amplitude AI Agents powered by Amazon Bedrock, transforming traditional product analytics into an automated, proactive process that helps organizations bridge the gap between detecting user behavior issues and taking action. The solution enables product teams to automatically identify friction points, optimize marketing campaigns in real time, and scale experimentation without increasing headcount, while freeing data teams to focus on strategic initiatives rather than routine analysis.

AWS announces the general availability of AWS Transform for mainframe, a new service that accelerates mainframe modernization using specialized AI agents. This blog showcases how AWS Partners are leveraging the service to streamline customer migrations, reducing transformation timelines from years to months while addressing traditional modernization challenges around speed, complexity, and skills gaps.

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

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

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.

This blog post shows how Infor uses generative AI services on Amazon Web Services (AWS) to help customers speed up productivity and solve industry-specific challenges

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.