Harnessing the Power of Vectors and AI to Build the Next Generation of Intelligent Apps
12 p.m. ET A new wave of AI has emerged, changing the way businesses use internal and external data in existing workflows. The combination of Large Language Models (LLMs) and Embedding Models (models that can create high dimensional vectors from unstructured data) now enable you to make sense of data of any type. With >80% of information being unstructured (think text, documents, images, video files, etc.), search is moving beyond just the keyword, with vector embeddings helping to contextualize all of this data, even when your end users might not know what they’re looking for. So how can your business utilize vector search and the power of LLMs to extend your own corporate knowledge set and increase relevant results? Join our webinar featuring Stephen O’Grady, Principal Analyst & Co-founder at RedMonk and Benjamin Flast, Product Management Lead at MongoDB for a discussion on these tectonic trends, including: What Vector Search is and how AI plays a role in making sense of unstructured data. How to create vector embeddings to increase relevance by harnessing the power of LLMs. Various approaches to storing and retrieving vectors. Real world examples of vector use cases, AI integrations, and results.
Generative AI with MongoDB Atlas and BigQuery: A Developer’s Guide
3:30pm BST | 10:30 EST | 8pm IST Join Stanimira Vlaeva, Developer Advocate at MongoDB, and Abirami Sukumaran, Developer Advocate at Google, for this developer-friendly webinar. Discover how to leverage Gen AI with MongoDB Atlas and BigQuery for generative natural language tasks. We will walk you through a practical use case, step-by-step, covering: Moving subsets of operational MongoDB Atlas data into BigQuery. Creating machine learning models in BigQuery ML. Using Generative AI models to perform generative natural language tasks, such as generating text, translating languages, and writing different kinds of creative content.
Security Webinar (English)
11am (SGT) MongoDB is built with security in mind, and MongoDB Atlas, the developer data platform by MongoDB, offers all the latest security features you would expect from any other database. Security is the top priority at MongoDB. That is why many security features are included in the MongoDB database and the Atlas developer data platform. These features help you and your team ensure that all of your data is stored safely and securely. Amongst other things, MongoDB offers authentication , authorization and encryption to help you secure your MongoDB deployments. Join us on the 19th of October at 11 am SGT to walk through: An overview of security controls within MongoDB Atlas Best practices for configuration of Atlas security A deep dive into Client Side Field Level Encryption An introduction into Queryable Encryption A demo of security in Atlas
Migrate to MongoDB Atlas on AWS: Iterate fast and react quickly
10am BST / 11am CEST MongoDB Atlas, our Developer Data Platform, allows developers to build and release new features quicker to stay on top of new market trends. Features such as Atlas Search, Atlas SQL and Online Archive simplify the architecture while enabling powerful Search capabilities, analytics connectivity and cost saving. With Atlas, no application code changes are necessary when an application needs to scale out from a 10MB to a 500TB dataset. MongoDB Atlas is well integrated into the AWS environment, and works seamlessly with AWS products. Join our webinar to learn more about common integration and reference architectures of MongoDB on AWS as well as: Tools to Migrate from a relational database to MongoDB Atlas on AWS such as the Relational Migrator How to Accelerate your shift to a modern developer data platform with Live Migrate. We will end the session with a demo to show how easy it is to migrate to Atlas using Live Migrate. This webinar will be conducted by: Luiz Alves: Partner Solutions Architect at MongoDB Battulga Purevragchaa: Partner Solutions Architect at AWS
Data Lifecycle Strategy with MongoDB Atlas ft. Online Archive
11 a.m. ET The amount of data that modern applications generate today is growing exponentially. This introduces several challenges for developer teams who are responsible for managing the data lifecycle. Join Prem Krishna, Senior Product Manager for Analytics at MongoDB as he provides insight into how you can use Online Archive to implement a data lifecycle strategy to streamline your data tiering, ultimately enhancing performance and optimizing cost. Join us on Wednesday, September 27th 11:00 a.m. ET to learn about: The role MongoDB Atlas plays in data lifecycle management Introducing and deploying Online Archive Understanding and implementing a data lifecycle Real-world use cases New Online Archive with Performance Improvements and Enhanced Metrics
Intro to Data Modeling
11 a.m. ET A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” In this webinar we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there!
Intro to MongoDB
11 a.m. ET Ready to begin your MongoDB Atlas adventures — but not sure where to start? Join our Intro to MongoDB webinar at 11 a.m. ET on Wednesday, October 4th to learn more! Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through how to: Create your first cluster, add an IP address and set up a database user Load sample data using a Next.js e-commerce demo app Connect to the database You will also have the opportunity to ask questions throughout the webinar. Register today to save your spot. We look forward to seeing you there!
Atlas 201 eWorkshop (English)
9am (BST) Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. This workshop is built on our Atlas 101 eWorkshop to continue the learnings. In this exclusive workshop you will get a full overview on how to migrate from a relational database to MongoDB followed by hands-on exercises and direct access to our expert panel. During this time, you will learn how to: Migrate from a relational databases to MongoDB How to build design patterns using MongoDB How to create aggregation pipelines How to use Atlas search + AI for context aware search Attendees will receive $50 in MongoDB Atlas credit. Places are very limited so act quick to reserve your spot.
Application Modernisation eWorkshop with AWS
10am GMT / 11am CET Legacy systems, although once groundbreaking, can hinder an organization's ability to innovate and scale. In this 3 hour eWorkshop we’ll explore the importance of modernizing your data infrastructure to speed up application development and iteration, as well as key features and benefits of using MongoDB Atlas on AWS to get the job done. We will also explore the Generative AI capabilities that enhance the customer experience and developer productivity. Why Modernize with MongoDB Atlas on AWS? The combined capabilities of MongoDB Atlas and AWS make it easy to focus on consistently shipping exceptional features and products anywhere in the world, all while improving developer productivity and customer experience in the digital age. MongoDB’s flexible document model makes building and evolving applications simple, replacing the rigidity and development friction of relational databases. MongoDB's Relational Migrator can accelerate application modernization by streamlining schema design and data migration. Join our MongoDB speaker, Luiz Alvez and our AWS speaker, Rohan Ghosh to learn more about modernizing your data infrastructure. Your ability to innovate depends on it, and MongoDB Atlas on AWS can help - learn how.
MongoDB & Amazon Web Services (AWS) Fraud Detection Immersion Day
9:00am-11:30am IST | 11:30am-2:00pm SGT | 2:30pm-5:00pm AEDT Not the right time zone? We are also running this on Sept 19 in the US . Existing fraud detection systems often grapple with a critical limitation – relying on stale data – which limits the ability to access data in real-time to prevent fraudulent activities before they happen. Join MongoDB and AWS for a deep dive workshop into Fraud Detection using MongoDB Atlas and Amazon SageMaker Canvas to learn how you can proactively identify and combat fraudulent activities, safeguarding systems and protecting customers. By leveraging MongoDB Atlas as an operational data store you are able to accommodate high-volume transactional data with exceptional performance and flexibility. Coupled with Amazon SageMaker Canvas, leverage AI/ML solutions effortlessly with a no-code platform that brings the power of advanced analytics for fraud detection to your fingertips. In the workshop on 12 October, you will learn: How to use architect, design, build, and deploy applications with MongoDB Atlas in AWS Marketplace How to identify and prevent fraudulent activities or transactions with a modern data architecture Data analytics and machine learning techniques to identify patterns and anomalies How to monitor transactions in real-time, analyse historical data, and flag any suspicious activity for further investigation You will hear from: Babu Srinivasan: Senior Partner Solutions Architect at MongoDB Bharath Suresh: Solutions Architect at AWS