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Our latest case studies

Strengthening Cloud Operations for a Leading MSME Financial Institution with Managed Services

The client is a multinational enterprise in the global transportation and logistics sector, specializing in large-scale container shipping. With a global operational footprint, thousands of shipping routes, and an annual revenue of USD 30+ billion, the organization serves customers worldwide through an extensive network of maritime logistics services, container operations, and value-added supply chain solutions.

Transforming IT Operations for a Leading Health Insurance Provider with Managed Cloud Services

The client is a multinational enterprise in the global transportation and logistics sector, specializing in large-scale container shipping. With a global operational footprint, thousands of shipping routes, and an annual revenue of USD 30+ billion, the organization serves customers worldwide through an extensive network of maritime logistics services, container operations, and value-added supply chain solutions.

Accelerating Loan Document Verification with AI-Powered Discrepancy Detection on AWS

We at 1CloudHub successfully containerized an identified application, optimizing the cloud resources used by the application, for continuous delivery.

Our latest blog posts

Top Generative AI Use Cases 2024

Top Generative AI Use Cases 2024

As we stand at the precipice of an AI-first world, the onus is on us to prepare for the transformative journey that lies ahead. Join us on a journey to uncover the Top Generative AI Use Cases for 2024 and beyond! Discover how Generative AI can be your industry’s game-changer

Implementing CAPTCHA Control in AWS WAF WebACLv2

Implementing CAPTCHA Control in AWS WAF WebACLv2

Explore how Amazon Web Services’ (AWS) Web Application Firewall (WAF) enhances web application security through CAPTCHA and Challenge actions and how to implement it.

Deploying Hugging Face Models on AWS SageMaker

Deploying Hugging Face Models on AWS SageMaker

Did you know that Hugging Face models can be deployed on AWS SageMaker both through SageMaker Notebook/Studio and from your own laptop, catering to scenarios with and without direct internet access?

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