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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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

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