AWS Partner Network (APN) Blog

Tag: AWS Partner Success Stories

How Leidos Standardized its Application Logging into Amazon Security Lake with LOIS

As systems generate increasing data, making sense of it is critical. Application logs are unique and not standardized. Leidos addresses logging issues using the Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake via the Leidos OCSF Integration Suite (LOIS), which bridges applications to generate OCSF-compliant messages and ingest them into Amazon Security Lake for analysis and visualization.

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Generative AI Augments Marriott’s Cybersecurity Posture with AWS Partners Deloitte and Palo Alto Networks

Marriott’s CISO Arno Van Der Walt manages cybersecurity through a “human-centered, data-driven, technology-enabled” approach aimed at making security frictionless. Critical partnerships with AWS, Deloitte, and Palo Alto Networks leverage AI/ML to share threat data and empower “impossible” autonomous security. Together, their tri-party services provide an end-to-end platform unifying business and security data to detect threats and enable quick response.

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Accelerate Product Development and Reduce Costs with Tech Mahindra’s Cloud-Based PLM Solution on AWS

Industry 4.0 increases product complexity and customer expectations, challenging industrial companies. Tech Mahindra’s Engineering on Cloud – PLM solution leverages AWS to help manufacturers centralize product data management and accelerate innovation. This cloud-native solution optimizes costs and provides enhanced security, scalability, and availability with faster time-to-market and streamlined collaboration.

Automate Labeling for Intelligent Document Processing with Inawisdom and Amazon SageMaker Ground Truth

Intelligent document processing (IDP) automates data extraction from diverse document formats, accelerating information retrieval. Manually labeling is expensive and difficult, and Inawisdom’s IDP solution on AWS automates document labeling at scale to overcome this challenge. Its customized user interface in Amazon SageMaker Ground Truth lets subject matter experts efficiently label documents.

Preventing Online Fraud and Attacks with AWS and DataDome’s Real-Time Bot Protection

As online commerce grows, so do opportunities for fraud. Businesses lose billions annually to bots and attacks like scraping and payment fraud, making effective and scalable protection essential. DataDome provides accurate, real-time detection and mitigation without compromising user experience. By deploying globally on AWS and optimizing performance, DataDome achieves sub-millisecond response times to inspect every request while minimizing false positives.

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How to Accelerate Interface Development with Skuid’s No-Code Studio on AWS

Skuid by Nintex is a low-code platform for rapidly building enterprise web apps. This post demonstrates using Skuid to connect to Amazon S3, listing bucket contents in a table, and enabling upload, download, and delete actions. With just a few configuration steps and zero coding, Skuid integrates data from services like S3 into polished, branded experiences, and streamlines building cloud-native apps without compromising power or flexibility.

Next-Generation Service Assurance with NeSA Powered by AWS

As networks become more complex, telcos need an integrated platform to manage monitoring, diagnostics, and automation. Prodapt worked with AWS to build a cloud-native, open-source network assurance platform called NeSA. It provides a single pane of glass for end-to-end visibility, faster troubleshooting, and closed-loop automation. This post details Prodapt’s experience implementing NeSA for a Tier 1 telco, reducing incident resolution time and costs.

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How Shellkode Uses Amazon Bedrock to Convert Natural Language Queries to NoSQL Statements

Large language models like Amazon Bedrock can generate MongoDB queries from natural language questions, transforming how users access NoSQL databases. By leveraging AI and language models, this solution allows business users to query MongoDB data through conversational English instead of code. It connects to MongoDB with PyMongo, generates queries with LangChain and Bedrock, retrieves and formats results into natural language answers.

Stonebranch Scheduler Integration with AWS Mainframe Modernization Service and AWS Blu Age Runtime

As organizations modernize mainframe applications, integrating mainframe batch workloads into cloud environments is a key challenge. Stonebranch’s scheduler integrates with AWS Mainframe Modernization service to enable centralized, automated scheduling and monitoring of mainframe batch jobs on the cloud. This improves efficiency, optimizes costs, and accelerates mainframe modernization by enabling seamless workload orchestration across legacy and modern platforms.

Develop and Deploy Machine Learning Models with Eviden’s Comprehensive Approach to MLOps Assessment

MLOps applies DevOps principles to machine learning, enabling organizations to efficiently develop, deploy, and manage models at scale. Eviden’s 10-step MLOps assessment examines existing models, establishes governance, creates self-service access, scales data analysis, registers models, enables feature re-use, provides data access, tests models at scale, deploys models, and enables API access. This end-to-end approach streamlines model creation and deployment while ensuring governance and consistency.