AWS Partner Network (APN) Blog
Tag: Shellkode
How Boggl AI Transforms Your Product Lifecycle Management with Amazon Bedrock by Ensuring Data Security
Discover how AWS Partner Shellkode helped Boggl AI enhance their product lifecycle management platform using Amazon Bedrock. Learn how this collaboration improved data security, automated product documentation, and achieved 60% faster release cycles while maintaining complete data privacy for customers.
AWS Generative AI Competency Expands: More Partners, New Offerings
We’re excited to share the next wave of AWS Generative AI Competency Partners that have demonstrated deep expertise in building and deploying groundbreaking generative AI applications across industries. Expanding the competency further helps AWS customers quickly locate experienced and well-supported partners in their region and showcase their innovations worldwide.
Say Hello to 153 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in April
By Rory Wallis, APN Program Experience Manager – AWS Partner Network The AWS Partner Network (APN) is a global community that leverages Amazon Web Services (AWS) technologies, programs, expertise, and tools to build solutions and provide services for customers. The APN has more than 130,000 partners from over 200 countries, with 70% headquartered outside of […]
Revolutionize Your Business with AWS Generative AI Competency Partners
With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to build a successful generative AI strategy. To support this need, we’re excited to announce the AWS Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future.
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.