MongoDB Achieves AWS Financial Services Competency

MongoDB
June 21, 2023 | Updated: June 30, 2023

We are delighted to announce that MongoDB Atlas has successfully achieved the AWS Financial Services competency, highlighting our dedication to delivering exceptional data management solutions tailored specifically for the financial industry. This significant milestone demonstrates our ability to provide secure, scalable, and reliable database services that meet the stringent regulatory requirements and unique challenges faced by financial institutions.

By attaining the AWS Financial Services competency, MongoDB Atlas reinforces its position as a trusted partner for financial organizations in their quest for modern and efficient solutions for secure data management. Our developer data platform empowers financial institutions to leverage the inherent flexibility of MongoDB's document model, coupled with advanced security features and automated operations. This enables organizations to expedite innovation, enhance customer experiences, and fuel business growth while maintaining compliance with regulatory frameworks.

Achieving this competency further signifies our commitment to elevating the standards of data management within the financial services sector. By leveraging MongoDB Atlas, financial institutions can optimize their operations, increase agility, and leverage data-driven insights to make informed decisions. We provide a comprehensive suite of features and functionalities, including data encryption at rest and in transit, identity, and access management controls, and built-in compliance certifications such as PCI-DSS, HIPAA, and ISO/IEC 27001, which are essential for meeting the strict security and privacy requirements of the financial industry.

By harnessing real-time, up-to-the-minute information, fraud detection models can be trained on the most accurate and relevant data available. MongoDB Atlas, a highly scalable and flexible database, coupled with Amazon SageMaker Canvas, an advanced machine learning tool, presents a groundbreaking opportunity to revolutionize fraud detection. By leveraging operational data, the synergy of the MongoDB Atlas and SageMaker Canvas holds the key to proactively identifying and combating fraudulent activities, enabling financial institutions to safeguard their systems and protect their customers in an increasingly treacherous digital landscape.

At MongoDB, we recognize that the regulated industry landscape is constantly evolving. As a result, we remain dedicated to continually expanding our capabilities, refining our offerings, and collaborating closely with our customers to address their evolving needs. Last year, MongoDB achieved the AWS Government Software competency. Our attainment of the AWS Financial Services competency serves as a testament to our ongoing commitment to excellence and innovation in data management, ensuring that our customers in regulated industries can rely on MongoDB Atlas as a robust and secure platform to power their digital transformation initiatives.

Learn more about MongoDB Atlas on AWS, and get started for free on AWS Marketplace.

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揭露欺骗：利用 MongoDB Atlas 和 Amazon SageMaker Canvas 的强大功能进行欺诈检测

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June 21, 2023
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MongoDB and Partners: Building the AI Future, Together

If you’re like me, over the past year you’ve closely watched AI’s developments—and the world’s reactions to them. From infectious excitement about AI’s capabilities, to impatience with its cost and return on investment, every day has been filled with AI twists and turns. It’s been quite the roller coaster. During the ride, from time to time I’ve wondered where AI falls on the Gartner hype cycle, which gives "a view of how a technology or application will evolve over time." Have we hit the "peak of inflated expectations" only to fall into the "trough of disillusionment?" Or is the hype cycle an imperfect guide, as The Economist argues? The reality is that it takes time for any new technology—even transformative ones like AI—to take hold. And every advance, no matter how big, has had its detractors. A famous example is that of Picasso (!), who in 1968 said, “Computers are useless. They can only give you answers.” (!!) 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Jointly, Fireworks.ai and MongoDB provide a solution for developers who want to leverage highly curated and optimized open-source models and combine these with their organization’s own proprietary data—and to do so with unparalleled speed and security. “MongoDB is one of the most sophisticated database providers, and it’s very easy to use,” said Benny Chen , cofounder of Fireworks.ai. "We want developers to be able to use these tools, and we want to work with providers who enable and empower developers." Nomic , another MAAP ecosystem member, also enables developers with best-in-class solutions across the entire unstructured data workflow. Their Embed offering, available through the Nomic API , allows users to vectorize large-scale datasets for use in text, image, and multimodal retrieval applications, including retrieval-augmented generation (RAG), using only their web browser. The Nomic-MongoDB solution is a highly efficient, open-weight model that developers can use to visualize the unstructured datasets they store in MongoDB Atlas . These insights help users quickly discover trends and articulate data-driven value propositions. Nomic also supported the recently announced vector quantization in MongoDB Atlas Vector Search , which reduces vector sizes while preserving performance. Last—but hardly least!—there’s our new reference architecture with MAAP partners AWS and Anthropic. Announced at MongoDB.local London , the reference architecture supports building memory-enhanced AI agents, and is designed to streamline complex processes and develop smarter, more responsive applications. For more—including a link to the code on Github— check out the MongoDB Developer Center . Making AI work for anyone and everyone The companies MongoDB partners with aren’t just making gen AI easier for developers—they’re building tools for everyone. 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