Accelerate Enterprise AI Development using Weights & Biases and Amazon Bedrock AgentCoreArtificial Intelligence In this post, we demonstrate how to use Foundation Models (FMs) from Amazon Bedrock and the newly launched Amazon Bedrock AgentCore alongside W&B Weave to help build, evaluate, and monitor enterprise AI solutions. We cover the complete development lifecycle from tracking individual FM calls to monitoring complex agent workflows in production.
In this post, we demonstrate how to use Foundation Models (FMs) from Amazon Bedrock and the newly launched Amazon Bedrock AgentCore alongside W&B Weave to help build, evaluate, and monitor enterprise AI solutions. We cover the complete development lifecycle from tracking individual FM calls to monitoring complex agent workflows in production. Read More
How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy FormationMarkTechPost In this tutorial, we build a fully functional Pre-Emptive Churn Agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Rather than waiting for churn to occur, we design an agentic loop in which we observe user inactivity, analyze behavioral patterns, strategize incentives, and generate human-ready email drafts using Gemini. We
The post How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy Formation appeared first on MarkTechPost.
In this tutorial, we build a fully functional Pre-Emptive Churn Agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Rather than waiting for churn to occur, we design an agentic loop in which we observe user inactivity, analyze behavioral patterns, strategize incentives, and generate human-ready email drafts using Gemini. We
The post How to Build a Proactive Pre-Emptive Churn Prevention Agent with Intelligent Observation and Strategy Formation appeared first on MarkTechPost. Read More
How dLocal automated compliance reviews using Amazon Quick AutomateArtificial Intelligence In this post, we share how dLocal worked closely with the AWS team to help shape the product roadmap, reinforce its role as an industry innovator, and set new benchmarks for operational excellence in the global fintech landscape.
In this post, we share how dLocal worked closely with the AWS team to help shape the product roadmap, reinforce its role as an industry innovator, and set new benchmarks for operational excellence in the global fintech landscape. Read More
Advancing ADHD diagnosis: How Qbtech built a mobile AI assessment Model Using Amazon SageMaker AIArtificial Intelligence In this post, we explore how Qbtech streamlined their machine learning (ML) workflow using Amazon SageMaker AI, a fully managed service to build, train and deploy ML models, and AWS Glue, a serverless service that makes data integration simpler, faster, and more cost effective. This new solution reduced their feature engineering time from weeks to hours, while maintaining the high clinical standards required by healthcare providers.
In this post, we explore how Qbtech streamlined their machine learning (ML) workflow using Amazon SageMaker AI, a fully managed service to build, train and deploy ML models, and AWS Glue, a serverless service that makes data integration simpler, faster, and more cost effective. This new solution reduced their feature engineering time from weeks to hours, while maintaining the high clinical standards required by healthcare providers. Read More
Accelerating your marketing ideation with generative AI – Part 1: From idea to generation with the Amazon Nova foundation modelsArtificial Intelligence In this post, the first of a series of three, we focus on how you can use Amazon Nova to streamline, simplify, and accelerate marketing campaign creation through generative AI. We show how Bancolombia, one of Colombia’s largest banks, is experimenting with the Amazon Nova models to generate visuals for their marketing campaigns.
In this post, the first of a series of three, we focus on how you can use Amazon Nova to streamline, simplify, and accelerate marketing campaign creation through generative AI. We show how Bancolombia, one of Colombia’s largest banks, is experimenting with the Amazon Nova models to generate visuals for their marketing campaigns. Read More
Google’s year in review: 8 areas with research breakthroughs in 2025Google DeepMind News Google 2025 recap: Research breakthroughs of the year
Google 2025 recap: Research breakthroughs of the year Read More
Introducing Visa Intelligent Commerce on AWS: Enabling agentic commerce with Amazon Bedrock AgentCoreArtificial Intelligence In this post, we explore how AWS and Visa are partnering to enable agentic commerce through Visa Intelligent Commerce using Amazon Bedrock AgentCore. We demonstrate how autonomous AI agents can transform fragmented shopping and travel experiences into seamless, end-to-end workflows—from discovery and comparison to secure payment authorization—all driven by natural language.
In this post, we explore how AWS and Visa are partnering to enable agentic commerce through Visa Intelligent Commerce using Amazon Bedrock AgentCore. We demonstrate how autonomous AI agents can transform fragmented shopping and travel experiences into seamless, end-to-end workflows—from discovery and comparison to secure payment authorization—all driven by natural language. Read More
Probability Concepts You’ll Actually Use in Data ScienceKDnuggets How can we reason with uncertainty and make smarter decisions from data? This article explains the key probability ideas in data science.
How can we reason with uncertainty and make smarter decisions from data? This article explains the key probability ideas in data science. Read More
How Agents Plan Tasks with To-Do ListsTowards Data Science Understanding the process behind agentic planning and task management in LangChain
The post How Agents Plan Tasks with To-Do Lists appeared first on Towards Data Science.
Understanding the process behind agentic planning and task management in LangChain
The post How Agents Plan Tasks with To-Do Lists appeared first on Towards Data Science. Read More
Introduction Amazon Web Services quietly changed everything about enterprise machine learning in late 2025. The updated Amazon SageMaker is a complete architectural rethink that merges data engineering, analytics, and ML into one unified platform. The SageMaker Story: From ML Tool to Data Platform SageMaker launched at AWS re:Invent in November 2017. Andy Jassy (then AWS […]