Modernizing workloads with Gen AI
12 P.M. ET Join MongoDB and Anyscale to discover how to transform your transactional workloads with generative AI, unlocking unprecedented efficiency and scalability. In this one-hour webinar, we will explore the advantages of the document model and MongoDB Atlas Vector Search, how seamless integration with Anyscale Endpoints and the Ray framework empowers cutting-edge ML models at scale, and share best practices and real-world examples. During this time, you will learn how to: Enhance transactional processes using gen AI capabilities Seamlessly scale your workloads with Anyscale and Ray Achieve high-performance processing with MongoDB's flexible schema Enable semantic search on transactional data with Anyscale and MongoDB Don't miss out on this opportunity to revolutionize your data strategy and drive innovation with MongoDB and Anyscale.
Atlas Search eWorkshop (English)
9am GMT / 10am CET Join the MongoDB team for a 2.5 hour fully interactive, hands-on, virtual workshop. During this time you will be guided to solve challenges using our MongoDB Atlas Data Platform, with a focus on MongoDB Atlas Search. The workshop will be led by our team of senior solution architects, and will provide you with exclusive direct access to our expert panel. What we will cover: Creating data relationships using our powerful aggregation framework Creating search indexes Writing complex search queries on top of Atlas Search, our sophisticated search engine that offers advanced search capabilities like autocomplete, fuzzy search, highlighting, relevance, and more! Using rules to expose collections to be queried with Graphql directly from our Realm backend Auto-generating schemas Writing custom resolvers powered by our aggregation pipelines And so much more! At the end of the workshop, you will be able to fork a frontend application and test your development. Attendees will receive $50 in MongoDB Atlas credit. Places are very limited so act quick to reserve your spot.
Advanced Data Modeling
11 A.M. ET Take your data modeling expertise to the next level by attending the “Advanced Data Modeling” webinar. This session builds on the “Intro to data Modeling” webinar and highlights the critical factors to consider when creating the model that aligns best with your application. You will learn: How your workload drives your schema Learn about Schema Design anti patterns How to enhance the power of the document model with schema design patterns How to migrate from a relational schema to a document based schema Register today to save your spot. We look forward to seeing you there!
Atlas Vector Search (Webinar)
9am GMT / 10am CET Join the MongoDB team on March 21st for a webinar dedicated to Atlas Vector Search, the MongoDB solution for semantic search, integrated with generative AI and LLM. During this one-hour webinar, you will be able to learn more about the features of MongoDB's Developer Data Platform. In particular: How to use MongoDB Atlas for artificial intelligence-based applications Use cases of Atlas Vector Search Integration of MongoDB Atlas with LLM Don’t miss this opportunity to learn about Atlas Vector Search and get your questions answered. We look forward to seeing you there!
Data Modeling in Motion: A live coding session for the mobility sector
10AM ET l 3PM CET l 2PM GMT With its document-oriented data model, real-time analytics capabilities, and seamless integration with other cutting-edge technologies, MongoDB has become the go-to choice for forward-thinking automakers and suppliers. As the industry continues to evolve and embrace NoSQL as more than just a database but as a new way of thinking about data, MongoDB’s role in fueling the future of smart mobility is set to expand. This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset and to break down NoSQL data modeling for real-world workloads, deep diving into the core value of MongoDB for both SDEs and product stakeholders. Our live coding exploration will be guided by Rick Houlihan, who prior to joining MongoDB led the NoSQL Blackbelt team for Amazon during their migration from RDBMS to NoSQL, and Dr. Humza Akhtar, MongoDB’s principal of automotive manufacturing who brings extensive expertise in enabling Industry 4.0 and smart mobility solutions. We’ll cover: How to structure connected vehicle signal data with COVESA Vehicle Signal Specification (VSS), a natural NoSQL structure. Using VSS to store vehicle signals and user preferences in MongoDB Extending the VSS data model with an example Fleet Management schema to have a signal-to-fleet understanding of every vehicle using MongoDB Finally, using MongoDB's aggregation framework to generate a complete picture of fleet management operations A presentation recording will be shared with all registrants as well as the opportunity to book an exclusive one-on-one schema design review session with MongoDB NoSQL experts.
Demo: MongoDB Architecture and Technology Overview
In a future that holds widespread implementation of AI in enterprise applications and increased exploitation of unstructured data, the document model database is the data platform of choice. It’s more flexible, it scales easily, and it simplifies development to accelerate innovation. Learn why MongoDB — built by developers, for developers — is the industry’s most used modern database for the fifth year in a row. This one hour session is a high level overview and demo of our data developer platform, MongoDB Atlas. We’ll highlight the differences with RDBMS and the benefits of building modern applications using NoSQL. We’ll detail key features like time-series workloads, creation of data resources, and search. Then we’ll step through a complete set of CRUD operations to show you how it works. You’ll learn: The powerful and flexible way data is represented How the schema can be changed dynamically and without ORM updates How the MongoDB document model streamlines building AI-enriched applications How high availability and scale out are easily implemented How MongoDB Atlas aligns to your cloud strategy, working seamlessly with the three main cloud providers The data governance features inherent in MongoDB
Atlas Performance Monitoring and Metrics
2 P.M. ET Have you ever wanted to know how the best development teams and DevOps engineers ensure their applications are not just good, but exceptional? Check out our upcoming webinar, Atlas Performance Monitoring and Metrics. Monitoring the health and performance of MongoDB Atlas is crucial for effective database administration and capacity planning. In this 60-minute webinar, MongoDB experts will share key strategies for monitoring your cluster's health and performance. Even with the robust features of Atlas, it's vital for users, including advanced ones, to understand how to monitor clusters effectively to prevent problems. You’ll learn: Which key cluster metrics you need to monitor right now MongoDB terminology and index types Monitoring query performance Indexing strategy & anti-patterns Automated online archiving
Build smart applications with MongoDB Atlas and Google Cloud Vertex AI
10am - 11am GMT The application development landscape is evolving very rapidly. Today, users crave intuitive, context-aware experiences that understand their intent and deliver relevant results even when queries aren't perfectly phrased, putting an end to the keyword-based search practices. This is where MongoDB Atlas and Google Cloud Vertex AI can help users build and deploy scalable and resilient applications. MongoDB Atlas Vector Search is a cutting-edge tool that indexes and stores high-dimensional vectors, representing the essence of your data. It allows you to perform lightning-fast similarity searches, retrieving results based on meaning and context. Google Vertex AI is a comprehensive AI platform that houses an abundance of pre-trained models and tools, including the powerful Vertex AI PALM. This language model excels at extracting semantic representations from text data, generating those crucial vectors that fuel MongoDB Atlas Vector Search. Vector Search can be useful in a variety of contexts, such as natural language processing and recommendation systems. It is a powerful technique that can be used to find similar data based on its meaning. Join this webinar to learn more about the integration of MongoDB Atlas Vector Search with Google Cloud Vertex AI. We’ll cover: MongoDB & Google Cloud: Powering the next generation of GenAI applications Deep dive into the unified ML Platform and flexible data model Live demo The webinar will be recorded and all registrants will receive the recording. See you soon!
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, March 6th 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!
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!
Using AI to Unlock New Opportunities in Payments with MongoDB and Icon Solutions
9.30am IST | 12pm SGT | 2pm AEST | 4pm NZST Many organizations have already been making considerable use of artificial intelligence (AI) in areas such as risk, financial crime, and compliance for many years. There is now an even greater focus on using AI and intelligent automation to streamline a wide range of workflows and processes to drive product innovation and operational efficiency. In this webinar with MongoDB and Icon Solutions, you will discover the transformative power of AI in banking and payments. Accelerate AI adoption with both predictive and new Generative AI applications with the support of cutting-edge capabilities from payments solutions provider Icon Solutions and MongoDB. Hear about new features like Vector Search and Large-Language Model (LLM) integration. Don't miss this webinar where we will be covering: Emerging use cases for AI with insights from Celent’s latest ‘Harnessing the Benefits of AI in Payments’ analyst report Why AI and advanced analytics are leading the technology investment agenda The different use cases for AI in back, middle and front office operations to support payments innovation Where to start when building AI-enriched applications with MongoDB and Icon Solutions Speakers: Wei You Pan : Director, Financial Services Industry Solutions at MongoDB Matt Piper : Senior Solutions Consultant at Icon Solutions
Using AI to Unlock New Opportunities in Payments with Celent, Icon Solutions, and MongoDB
10am GMT, 11am CET, 15:30pm IST We are also running this webinar live in an AMER timezone on 7th March and APAC timezone on 24th April. Artificial intelligence technologies are by no means new to the banking industry. The use of machine learning has been central to areas such as risk, financial crime, and compliance for many years. Celent's recent " Harnessing the Benefits of AI in Payments " report highlights how the investments in data analytics and AI technologies lead the agenda for 2024 with 72% of banks exploring or testing new propositions. Many banks are already making considerable use of AI and analytics in their payment processing operations, and there is now an even greater focus across the industry on using AI and intelligent automation to streamline a wide range of workflows and processes to drive product innovation and operational efficiency. These themes are central to many of the payment transformation projects underway in the industry. Don't miss this webinar with guest speakers from industry analyst Celent and payments solutions provider Icon Solutions where we will be diving into the different AI use cases within payments. We will cover: Key findings from Celent's latest Using AI to Unlock New Opportunities in Payments report The current adoption and investment plans around AI technologies and advanced analytics by banks The different use cases for AI in back/middle and front office operations to support payments innovation Where to start when looking to leverage AI technologies Speakers: Kieran Hines : Principal Analyst, Banking and Payments at Celent Toine van Beusekom : Strategy Director at Icon Solutions Boris Bialek : Field CTO at MongoDB