AWS MLAgentic AI in the Enterprise Part 2: Guidance by Persona
Guidance-driven blueprint for deploying agentic AI in enterprises, mapping leadership personas to governance, measurement, and workflow orchestration to turn autonomous agents into scalable, auditable business capability.
Google CloudGoogle Cloud and NVIDIA expand AI innovation across industries at GTC 2026
A technical overview of Google Cloud and NVIDIA's co-engineered AI Hypercomputer stack that accelerates agentic AI, large-model inference, and industry-scale workloads through G4 VMs, Vera Rubin NVL72 integration, Dynamo-enabled orchestration, and Vertex AI enhancements.
Google CloudBigQuery Studio is more useful than ever, with enhanced Gemini assistant
BigQuery Studio's Gemini-powered assistant delivers context-aware interoperability, intelligent resource discovery across projects, and instant job analysis to turn analytics overhead into proactive AI-assisted data workflows.
Modular AIModular: Modular at NVIDIA GTC 2026: MAX on Blackwell, Mojo Kernel Porting, and DeepSeek V3 on B200
Modular's NVIDIA GTC 2026 showcase highlights MAX on Blackwell, a Mojo-based port of CUTLASS kernels to Mojo with 130.7 TFLOPS on B200, and DeepSeek V3 running in Modular Cloud, illustrating end-to-end diffusion pipelines, kernel optimization, and scalable inference.
Google CloudRansomware Under Pressure: Tactics, Techniques, and Procedures in a Shifting Threat Landscape
Analyzes the 2025 ransomware landscape—TTP evolution, data-theft extortion trends, and shifts in the RaaS ecosystem, highlighting cross-platform deployments and implications for defense and recovery.
AWS MLBuild an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog
An end-to-end guide to building a scalable, governed offline feature store with SageMaker Unified Studio and SageMaker Catalog, using Apache Iceberg-backed S3 Tables, Lake Formation access control, and a publish-subscribe workflow to enable cross-team collaboration and reproducible ML features.
AWS MLHow Workhuman built multi-tenant self-service reporting using Amazon Quick Sight embedded dashboards
Workhuman demonstrates a scalable approach to multi-tenant, self-service analytics by embedding Amazon QuickSight dashboards, enforcing strict data isolation with namespaces and row-level security, and automating deployment through a CI/CD pipeline to deliver customized insights across SaaS customers.
DatabricksBreaking the Microbatch Barrier: The Architecture of Apache Spark Real-Time Mode
Apache Spark 4.1's Real-Time Mode rearchitects Structured Streaming from microbatches to non-blocking, concurrent stages, delivering millisecond latency while maintaining high throughput and fault tolerance.
CloudflareFrom legacy architecture to Cloudflare One
A practical blueprint for de-risking large-scale migrations from legacy VPNs to Cloudflare One by combining Cloudflare's Zero Trust platform with CDW's tiered, risk-aware SASE approach to modernize security without downtime.
Berkeley AIIdentifying Interactions at Scale for LLMs
Introducing SPEX and ProxySPEX, scalable, sparsity-aware methods for discovering and attributing influential interactions across features, data, and internal model components in LLMs through efficient ablations.
DatabricksServerless Workspaces in Azure Databricks is now Generally Available
Azure Databricks Serverless Workspaces GA enables near-instant analytics on Azure with no infrastructure setup, serverless compute in a Databricks-managed network, and governance via Unity Catalog.
AWS MLP-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM
P-EAGLE accelerates LLM inference by performing parallel speculative decoding in vLLM, generating all K draft tokens in a single forward pass to deliver up to 1.69x speedups over EAGLE-3 on NVIDIA Blackwell GPUs.