Resources

March 21, 2024

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.

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March 14, 2024

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!

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March 6, 2024

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

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