Building a Virtual Factory with MongoDB Atlas
Jump-start your digital transformation journey by learning about industrial IoT, immersive visualization, and AI, and discover how MongoDB brings all of these technologies together to facilitate uninterrupted data flow through real-time data transmission. This virtual factory demo simulates equipment performing complex maneuvers to uncover the most efficient processes and mimic the behavior of a real production process. See how in our demo of a 3D factory digital twin powered by MongoDB Atlas. This video will cover: What a virtual factory/factory digital twin is and how to use them to power innovation How virtual factories can help manufacturers reduce costs, increase efficiency, and improve quality How data flows in real-time to power intelligent, intuitive user experiences Key technologies covered in this session include: MongoDB Atlas, Realm, Atlas Device Sync, AWS IoT Core and Sagemaker
Atlas for the Edge in the Retail Industry
Learn why leading retailers choose MongoDB’s developer data platform to implement edge solutions that drive optimizations across their workforce, supply chain, logistics, and customer experience. Optimize inventory management, streamline sales floor operations, and create personalized customer experiences with Atlas for the Edge. Download the Atlas for the Edge in the Retail Industry data sheet to learn how 7-Eleven, Boots UK, Yodel, and Audemars Piguet partner with MongoDB to deliver mobile retail solutions.
Atlas for the Edge in the Healthcare Industry
A best-in-class, flexible developer data platform for healthcare edge applications. Elevate your applications by leveraging performant data management practices. Learn why leading healthcare organizations choose MongoDB’s multi-cloud database service, Atlas, to unleash innovation, while ensuring that critical patient data is securely and seamlessly transmitted to and from your edge and cloud database.
MongoDB & Microsoft Azure: Build the Next Big Thing
11am SGT Are you ready to harness the true potential of your data? Discover how you can build smart applications while maximizing the value of your data. During this webinar, we’ll cover: MongoDB Atlas, the industry's first unified developer data platform The seamless integration of MongoDB Atlas within the Microsoft Azure ecosystem Building and deploying end-to-end real-time applications using MongoDB Atlas on Azure You will also be provided with a code to build out your own application and you will learn how to build Smarter applications by using MongoDB Atlas and the following Azure products: Azure App Services, Azure Synapse Analytics Azure Functions Azure Data Factory PowerBI
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.
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!