Enterprises across industries are storing more data than ever. More than 5 petabytes (PB) is the new normal and more than 10PB is increasingly common. The theme for unstructured data management in 2026 is more of everything: more data, more investment, more pains and more AI security and risk concerns. Unstructured data growth is being […]
Author Archives: Lucian Systems
The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges and unlock new opportunities. As usual, we have you covered with our top announcements of AWS re:Invent 2025 that you can […]
AI spending keeps climbing at an unbelievable pace. Some of the largest U.S. tech companies plan to pour more than $320 billion into AI and supporting infrastructure. With numbers like that, you’d expect breakthrough results everywhere. But when you talk to the teams actually running these systems, you hear a very different story. A lot […]
Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex […]
Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova, DeepSeek, GPT-OSS, Llama, and Qwen. The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques like reinforcement learning, so you can accelerate the AI model customization process from months to days. With […]
Today, we’re announcing two new AI model training features within Amazon SageMaker HyperPod: checkpointless training, an approach that mitigates the need for traditional checkpoint-based recovery by enabling peer-to-peer state recovery, and elastic training, enabling AI workloads to automatically scale based on resource availability. Checkpointless training – Checkpointless training eliminates disruptive checkpoint-restart cycles, maintaining forward training […]
Today, we’re announcing two new capabilities for Amazon S3 Tables: support for the new Intelligent-Tiering storage class that automatically optimizes costs based on access patterns, and replication support to automatically maintain consistent Apache Iceberg table replicas across AWS Regions and accounts without manual sync. Organizations working with tabular data face two common challenges. First, they […]
Today, we’re announcing three new capabilities for Amazon S3 Storage Lens that give you deeper insights into your storage performance and usage patterns. With the addition of performance metrics, support for analyzing billions of prefixes, and direct export to Amazon S3 Tables, you have the tools you need to optimize application performance, reduce costs, and […]
Today, we’re announcing new capabilities in Amazon Bedrock AgentCore to further remove barriers holding AI agents back from production. Organizations across industries are already building on AgentCore, the most advanced agentic platform to build, deploy, and operate highly capable agents securely at any scale. In just 5 months since preview, the AgentCore SDK has been […]
Modern applications increasingly require complex and long-running coordination between services, such as multi-step payment processing, AI agent orchestration, or approval processes awaiting human decisions. Building these traditionally required significant effort to implement state management, handle failures, and integrate multiple infrastructure services. Starting today, you can use AWS Lambda durable functions to build reliable multi-step applications […]