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
The Keys to Modernizing Legacy Application Data Frameworks in Support of Digital Transformation Objectives
A panel discussion with Accenture, Amazon Web Services (AWS), and MongoDB Digital transformation and cloud migration technology are top of mind in today’s boardrooms, and understandably so. Yet it’s easy to see how distractions from the shiny new items can lead to neglect of the legacy systems in place—which continue to shoulder the fulfillment of vital organizational tasks. This neglect often leads to the isolation and segregation of legacy applications and data from the rest of the organization, which can be messy—financially and otherwise. While focusing on enterprise-wide technology modernization initiatives and introducing hybrid-cloud strategies, how can companies avoid the costly mistake of leaving out valuable legacy applications and therefore impeding the continuous delivery of value during this transitional time? In this webcast, leaders from MongoDB, Accenture, and AWS will discuss how organizations can accelerate the migration of business-critical applications and data from siloed legacy environments to integrated cloud-native platforms that work across on-prem and cloud infrastructures. Tune in to learn about: Modernizing legacy applications and data for integration into cloud-native infrastructures consisting of on-prem and cloud resources Operational considerations of lift-and-shift vs refactoring Financial implications of legacy application, data modernization, and integration projects Constructive tech management principles for ongoing legacy transformation efforts You will hear from: Jim Malone: Senior Content Director at CIO Marketing Services (moderator) Pradeep Dhananjaya: Banking Specialist Solutions Architect at AWS Joerg Schmuecker: Director, Financial Services Industry Solutions at MongoDB John Nerenberg: Managing Director at Accenture Steve Meyer: Principal Director at Accenture
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
Configuring MongoDB Atlas for PROTECTED Information Classification Level
The Australian Signals Directorate (ASD) Information Security Manual (ISM) has hundreds of controls for achieving PROTECTED level compliance. Configuring a self-managed environment in accordance with these controls can be a significant effort. MongoDB Atlas has strived to take the maximum burden of these requirements so customers can focus on application development and business requirements. Specifically, customers are only responsible for configuring a small subset of the total ISM controls to minimise effort. This whitepaper is to provide details and technical references demonstrating how MongoDB customers, such as Australian Government Organisations and ISVs, can use MongoDB Atlas to comply with PROTECTED information classification level requirements.
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!
Atlas Search on Google cloud webinar (EMEA + India)
During this webinar, we searched through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities to learn how you can work with a single API when building on MongoDB Atlas Search. Our talk points were: How full text search compares to standard database querying How Atlas Search differs from other full text search implementations An overview of the Atlas Search architecture A walkthrough of Atlas Search capabilities Demos of how to build and leverage Atlas Search indexes on Google Cloud Showcasing sample applications built using Atlas Search Watch the recording now and don't miss the chance to learn about Atlas Search!
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.