Congratulations to the 2022 Innovation Award Winners

Mark Porter
June 7, 2022 | Updated: June 8, 2022

I just got off stage at MongoDB World, where I had the honor of announcing 15 winners of the ninth annual MongoDB Innovation Awards.

The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year, we received applications from a diverse range of organizations, from emerging startups to industry-leading global enterprises, across a wide variety of industries. We are delighted to announce the winners below.

2022 MongoDB Innovation Award Winners

Customer-First and Innovator of the Year Award: BEES

Anheuser-Busch InBev (AB InBev), home to several of the world’s most recognizable beer brands, chose MongoDB Atlas as the primary database for its proprietary B2B platform, BEES. The platform digitizes AB InBev’s relationship with its customers, offering convenience, seamless communication, and most important, enhanced business performance. Putting customers first has helped BEES grow to a network of 2.7 million monthly active users across 17 markets, process over 23 million orders, and capture more than $6.5 billion in gross merchandise value during the first quarter of 2022.

Data for Good Award: Memorial Sloan Kettering Cancer Center

Memorial Sloan Kettering Cancer Center (MSKCC) is a world-renowned, state-of-the-art cancer facility. According to US News & World Report, MSKCC has been ranked as one of the top two hospitals for cancer care in the country for more than 30 years, and among the nation's top pediatric hospitals for cancer care. MSKCC's Department of Pathology plays a pivotal role in diagnosing the type of cancer affecting a patient, which in turn helps providers determine possible treatments. MPath, an advanced software ecosystem developed in-house, is built on MongoDB and supports digital review and reporting of over three dozen Molecular Pathology diagnostic tests. To date, MPath has provided digital review and reporting for over 200,000 molecular diagnostic tests.

From Batch to Real-Time Award: AT&T

To build its next-generation AI-based fraud-detection platform, AT&T quickly discovered that relational technology would not be able to scale and support their application’s needs and requirements. Given their desire for a flexible data model, AT&T turned to MongoDB Atlas, which has decreased their time to market and improved their query response times. As part of an overall modernization effort to enhance an already robust AI environment, MongoDB Atlas will improve performance and further AT&T’s efforts for real-time fraud detection. MongoDB Atlas is also being extended to include the AT&T Feature Store for data modeling.

Front Line Heroes Award: Sogei

Sogei is an in-house company of the Italian Ministry of Economy and Finances, spearheading public sector digital transformation in Italy. Impressed by the flexibility and performance of MongoDB’s data platform technology, they leveraged MongoDB’s document model to develop and bring to market Italy's official COVID-19 vaccination passport app — in less than 45 days. The "Green Pass" project has generated over 230 million digital certificates to date, helping Italians easily provide vaccination requirements for cultural and sporting events, long-distance travel, nightlife, and indoor dining during the pandemic.

Going Global Award: Auth0

Auth0, a product unit within Okta, is an Identity-as-a-Service platform that eliminates the complexity of implementing authentication and authorization capabilities. Looking to further prioritize reliability and security, Auth0 recently migrated its Public Cloud platform from self-hosted MongoDB to MongoDB Atlas to help power billions of authentications per month. This move helps Auth0 scale at a faster pace, allowing them to deliver services to an ever-growing number of customers. Additionally, foundational operations tasks that used to take several weeks can now be completed in hours, enabling Auth(0) to deliver services faster and more reliably to their customers.

Huge Impact Award: Cisco Systems

Cisco is best known for its enterprise networking gear, but the tech giant is also a major player in the cybersecurity market, the part of its business that’s leading the transformation to an “Everything-as-a-Service” model. Cisco Secure has been on a multi-year journey to fundamentally change the way enterprises think about security by developing its integrated, cloud-native SecureX platform. An integral component of the platform, SecureX Orchestration allows customers to orchestrate critical security workflows using a no/low-code drag-and-drop interface, and helps SecOps, ITOps, and NetOps teams save critical working hours. By migrating to MongoDB Atlas, the SecureX Orchestration team has reaped benefits such as increased scalability, decreased architectural complexity, improved reliability, and lower total cost of ownership.

Industry Transformation Award: Corva

With an increasing focus on reducing worldwide greenhouse gas emissions, Corva's technologies play a crucial role in helping the energy industry meet its sustainability objectives. Corva's proven technologies, infrastructure, and deep industry knowledge, combined with the power of MongoDB Atlas, have put it on an unbeatable path to creating a sustainability platform that will transform the industry's journey to net-zero carbon emissions. By leveraging a centralized dataset of emissions, Corva has plans to automate greenhouse gas monitoring, analysis, and benchmarking; monitor real-time energy consumption and emissions; and build applications to raise carbon awareness.

Operational Resilience at Scale Award: Wells Fargo

Wells Fargo is a leading financial services company offering a diversified set of banking, investment, and mortgage products and services, as well as consumer and commercial finance. Tempest is a data fabric built to improve the digital customer experience by providing continuous availability and responsiveness even when portions of the bank's infrastructure are experiencing availability interruptions. This data fabric serves Wells Fargo’s 30 million-plus digital retail customers.

Savvy Startup Award: Pioneera

The World Health Organization now recognizes burnout as an occupational phenomenon — and there has never been a greater need for a solution. Pioneera is combining psychology and technology to prevent and redress toxic workplace issues, starting with the crippling and insidious issue of workplace burnout. Indie, Pioneera's "Grammarly for Mental Health," helps large and small companies reduce burnout and improve engagement, productivity, and collaboration. Founded and based in Australia, Pioneera uses MongoDB to help it scale globally.

Unbound Award: Cue Health

Cue Health is a healthcare technology company that makes it easy for individuals to access health information and places diagnostic information at the center of care. Their revolutionary new device, the Cue Health Monitoring System, paired with their COVID-19 test, is the first at-home COVID-19 test available over the counter without a prescription, and it is used by the NBA, Johnson & Johnson, and the Mayo Clinic. The company chose MongoDB Atlas, Search, and Atlas Device Sync to power its mobile application, mobile database, and synchronization, enabling consumers to receive data from their Cue devices on their smartphones and securely store it in the cloud. Cue Health is planning on leveraging MongoDB to launch additional tests such as respiratory, women's and men's health, fertility, and more.

Cutting Edge Award: Goldman Sachs

Goldman Sachs is a leading global financial institution that serves a diversified client base of corporations, financial institutions, governments and individuals and holds offices in major financial centers worldwide. Over the past 10 years, MongoDB and Goldman Sachs have had a strong engineering collaboration. Together, we have worked to ensure that MongoDB Core Server and Atlas have product capabilities that enable their use in regulated environments, without compromising the developer experience. Goldman Sachs expanded its utilization of Atlas in FY'22, growing both existing and new Consumer and Transaction Banking use cases across the firm; their utilization of cloud solutions and their forward-thinking, cloud-based approach to deploying next generation banking applications represents a cutting edge approach and serves as a model for the financial services industry.

Judges' Choice Award: Getir

Ultrafast grocery delivery pioneer Getir has revolutionized last-mile grocery delivery with its 10-minute grocery delivery proposition, making thousands of everyday items available within minutes. The company originally built its core grocery delivery platform on MongoDB Community and migrated to MongoDB Atlas. Getir achieved superior performance and reliability, regardless of spikes in traffic during the COVID-19 pandemic, and also relied on Atlas's always-on, multi-region clusters for 99.995% uptime during its critical U.S. launch. Getir utilizes almost 350 clusters, deployed across projects to cover each aspect of its product, with a microservices architecture to create incredible resilience across global markets and time zones. In the past 12 months, Getir has scaled successfully across geographies with minimal downtime due to this approach.

Seamless Migration Award: Truist

Banks struggle to keep up with the digital natives and neobanks, but Truist's Consumer Tech organization is striving to set an example of how major banks can compete in the digital world. In order for their Client Availability Layer platform, or CAL, to consolidate terabytes of customer data from the heritage system of records into a highly available and scalable operational data layer from scratch to provide uptime to digital applications, the platform required modern technology for support. Truist decided to implement MongoDB on AWS Outpost as a resilient and secure option to align to the maturing cloud strategy at the bank, which has allowed CAL to support new, complex digital banking needs.

Certified Professional of the Year Award: Mohit Talniya

Mohit Talniya works with PeerIslands, a boutique MongoDB SI based out of the Cayman Islands. He is passionate about building cloud-native applications, solving technical challenges, MongoDB, and cryptocurrency. As a certified MongoDB developer, Mohit has worked with MongoDB teams on crucial, time-sensitive projects, including a mission-critical real-time data migration and building a MongoDB persistence layer for an open-source OAuth framework. He loves playing ping-pong and cricket in his spare time.

The William Zola Award for Community Excellence Award: Prasad Saya

Prasad is a MongoDB Certified Developer and a natural-born mentor who harnesses his deep curiosity about technology and channels it into providing informative and helpful answers for his fellow developers. Active on Stack Overflow, our own Community Forums (where he has achieved the rank of Forum Elder), and other technical communities such as JavaRanch, Prasad is always there with a thorough understanding of the problem and a detailed answer to get folks going on the right path.

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5 New Analytics Features to Accelerate Insights and Automate Decision-Making

>> Announcement: Some features mentioned below will be deprecated on Sep. 30, 2025. Learn more . The applications we use every day are continually delivering richer experiences and working more efficiently. One of the driving forces of this progress is analytics. As organizations ingest and use ever increasing layers of data, they are able to derive more timely insights about their users’ preferences, patterns, and needs to deliver just-in-time information and choices within their applications. The next generation of applications will take a huge leap in intelligence by integrating real-time analytics into their app experiences. Such analytics will increasingly be automated, developer-driven, and incorporated seamlessly within data platforms alongside transactional — or application workloads. As announced at MongoDB World 2022 , MongoDB will introduce five new features this year that will help businesses modernize their analytics: Column Store indexes, MongoDB Atlas Data Federation , MongoDB Atlas Data Lake , MongoDB Atlas SQL Interface , and distinct tiering for analytics nodes. Using these features will automate decision-making and drastically decrease the time it takes to get application insights in front of users. Modernizing analytics around operational data Today, in order to create dynamic in-app experiences, businesses need to take multiple steps — collecting application data, sending it to a data warehouse or data lake to run analytics on it, deriving insights, coding new experiences, and releasing the app back to users. Modern applications must be able to automate this process by capturing and processing the data at the source — that is, in the application. The data inside your application is the most valuable and current picture of what is happening with your business. Combining real-time, operational, and embedded analytics — what some call translytics, HTAP, or augmented transaction databases — now enables analytics driven by application data to help determine, influence, and automate decision-making for the app and provide real-time insights for the user. Real-time analytics is, as the name implies, done nearly instantly, usually on data that resides in an application. Examples include fraud detection for banks and personalized offers or recommendations on an e-commerce site. The analytics can range from basic aggregations to machine learning models that provide insight and automate an action, such as sending an offer. One example is Ticketek , an Australia-based event ticketing company, which uses real-time analytics to make critical decisions, such as whether to open up more sections of a venue or put on more shows. Operational analytics is the process of finding insights from your data sources to improve decision-making for the daily operations of a business. Use cases include real-time reporting, improving overall operations, and product analytics. Online grocery Boxed , for example, was able to manage inventory levels during peak demand thanks to real-time data and insights directly from MongoDB Atlas . Embedded analytics enhances applications by embedding data visualizations and dashboards with MongoDB Atlas Charts , providing users with relevant insights when and where they need them. What's New Here are five advances announced at MongoDB World that can help businesses modernize their analytics: Column Store indexes: This feature enhances analytical queries by allowing developers to deliver real-time analytics on live, operational data. It also improves the performance of common analytical queries by adding a structure on top of collections that groups similar fields together to speed up reads. This eliminates the need to offload analytics to disparate specialized systems and rely on complex and fragile ETL pipelines that ultimately slow down the time to gain insights. Atlas Data Federation : Atlas Data Lake is relaunching as Atlas Data Federation to reflect our focus on the value of federation. MongoDB Atlas users have the ability to query several data sources at once. Atlas Data Lake : The new Atlas Data Lake provides a cost-effective data store optimized for high-performance analytics on large volumes of data. Atlas Data Lake delivers analytical workload isolation, allowing you to perform complex, long-running, or large analytical queries without impacting your production application. Fully integrated as part of the MongoDB Atlas, Atlas Data Lake can be provisioned alongside your Atlas Database, making the ingestion and optimization of data simple, with no infrastructure to set up or manage. Atlas SQL Interface, Connectors, and Drivers : Atlas’s new SQL capabilities allow people who mainly work in SQL tools, such as data analysts, to easily interact with Atlas data. Users can query Atlas data via a BI tool or SQL driver and are able to directly query live data and gain enhanced schema control. Distinct tiering for analytics nodes: Users can choose an appropriately sized node tier dedicated to their analytics workload without needing to change the tier of the entire cluster. This can enhance the performance of your analytics workloads; you can provision only what you need if your analytical workload requirements are less than your transactional requirements. Learn more about MongoDB World 2022 announcements at mongodb.com/new and in these stories: 4 New MongoDB Features to Improve Security and Operations Closing the Developer Experience Gap: MongoDB World Announcements Streamline, Simplify, Accelerate: New MongoDB Features Reduce Complexity

June 7, 2022

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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.

November 21, 2024