Automating contract intelligence with Doczy.ai™ on AWS
Organizations need to extract structured, actionable insights from unstructured contract documents at scale to automate critical business processes.
Building highly available Oracle databases with Amazon FSx for NetApp ONTAP
Building Oracle database architectures that minimize recovery time and maximize availability while leveraging cloud infrastructure.
Connecting AI agents with unstructured data using Google Cloud Storage MCP Servers
Enterprises need to integrate unstructured data from Google Cloud Storage into AI agent systems while maintaining security, standardization, and efficient context retrieval at scale.
Dynamic Repartitioning for Time Series Workloads
Netflix needed to efficiently partition and scale time series data across Cassandra clusters to handle petabytes of temporal event data while maintaining millisecond latency query performance.
How we built Cloudflare's data platform and an AI agent on top of it
Cloudflare needed to unify fragmented analytics data across its global edge network and enable intelligent querying of that data at scale.
SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
Meta needed to improve the throughput and compute efficiency of retrieval systems for recommendation engines that process user-generated content at massive scale.
High-Throughput Graph Abstraction at Netflix: Part I
Netflix needed a unified abstraction layer to efficiently handle multiple graph query paradigms (OLAP and OLTP) with different performance and functionality requirements across diverse business use cases.