Save the date for MongoDB World 2017

Dina Jacobson
August 26, 2016 | Updated: January 20, 2017
#Community

We’re excited to announce that MongoDB World is coming to Chicago next June! Mark your calendars to join us in the city powered by MongoDB. City of Chicago Chief Data Officer Tom Schenk welcomes you to the Windy City:

MongoDB powers the Windy Grid, which is a “Central Nervous System” for the City of Chicago. Using MongoDB, the City of Chicago is able to analyze millions of data points from hundreds of different sources, in real time, helping us improve services, cut costs and create a more livable city. This is one of many MongoDB stories we look forward to sharing in June.

Here are some fun facts about Chicago, and a few reasons to get excited about #MDBW17:

  • Chicago is home to “Sue,” the world’s largest Tyrannosaurus Rex. She still can’t crunch as much data as MongoDB.
  • It’s museum heaven, offering a virtual reality planetarium, Museum of Science and Industry, Natural History Museum, Museum of Surgical Science, and more
  • The city is known for some seriously yummy food, such as deep dish pizza, hot dogs, and Cracker Jack
  • With nearly 3,000 flights a day, there’s no city that’s easier to travel to. There’s even a non-stop flight from Hong Kong.
  • Chicago’s other claims to fame include being home to the longest street, the largest library, the largest marine mammal pavilion, and the world’s largest water filtration plant

We can’t wait to host you in the Windy City. If you have any idea you want to share, complete this short survey. And don’t forget to save the date!

Event Details:

MongoDB World 2017
June 20-21
Hyatt Regency Chicago


← Previous

Metrics Granularity Now Auto-adjusts for Zoom Window

Peter Gravelle is a Cloud Technical Account Manager at MongoDB focused on our Cloud Products, get more info at https://cloud.mongodb.com . The Cloud Manager team is happy to announce auto-zooming granularity for all charts. This means that if you see something odd at the one hour granularity and then zoom down, we’ll automatically adjust granularity as you zoom in, to provide you more detail as you investigate. Here’s an example below as we investigate all the way down to 10-second granularity (available to Cloud Manager Premium customers, contact your account executive for more details ): As you can see in the demo above, your metrics are now even easier to view. Since the granularity automatically shifts as you zoom in, you can get more detail without any extra effort. This feature has been rolled out to all Cloud Manager and Atlas groups, except for Cloud Manager groups on the Free Tier.

August 24, 2016
Next →

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