Resources

April 26, 2023

The Future of Underwriting with App-Driven Analytics and AI/ML.

11 AM ET How do you scale AI/ML across your organization? And what use cases should you start with? ​ MongoDB and Databricks present a special fireside chat with Doug Calegari, Sr. Director of Architecture at Travelers Insurance, to talk about the future of machine learning in the insurance industry with a focus on underwriting. ​ As Underwriting for Property and Casualty insurers has become a pillar of growth following the pandemic, focus has increased on optimizing operational efficiency by increasing Straight Through Processing of risks. ​ ​ Join us to hear how Doug: Fosters collaboration between data and developer teams Trains and observes ML models Moves ML models into business applications for real-world impact Applies ML for decision support and automated underwriting tasks Proves ML value by affecting business outcomes ​ ​ ​ In this webinar, we’ll also highlight how MongoDB and Databricks can unite application developers and data scientists in a unified, secure platform to harness the power of AI/ML for decision support in underwriting (e.g. manual handling of policy changes). Speakers Doug Calegari is the Senior Director Architecture - AI/ML, MLOps and Data Science at Travelers. In a career that has spanned several decades, Doug has worked for multiple startup companies, insurance, and financial services institutions. Marcela Granados has more than 17 years of experience working in the insurance industry in both Commercial and Personal lines in all areas across the insurance value chain (Claims, Underwriting, Pricing, Marketing and Actuarial Science). Prior to joining us, she led the insurance analytics practice at EY leading teams of data scientists and actuaries to implement complex analytics solutions for the largest insurance companies. She has more than 13 publications on analytics and AI. Jeff Needham has over 25 years of IT and Data Architecture experience in software, healthcare and insurance organizations both large and small. Prior to joining MongoDB as Principal of Industry Solutions, Jeff led a major modernization effort with MongoDB, and subsequent cloud migration at Travelers Insurance. Jeff brings industry thought leadership, as well as practical solutions and strategy to MongoDB customers. I agree that by signing up for this event, I am expressly consenting to provide my registration information, including name, email, etc., to Databricks and the sponsor of the event. Databricks may use my information in accordance with their privacy policy. Databricks Privacy Policy .

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April 27, 2023

Payments modernization – architectures shaping the future

10am BST, 11am CEST, 12pm IDT, 2:30pm IST, 5pm SGT The payments landscape is evolving rapidly with customers expecting a connected and secure experience, enhanced value generation and all of this coupled with new and changing standards and regulations. Those institutions that fail to meet these requirements risk losing out on significant revenue. Payment providers – be it a PSP acquiring consumer transactions or a financial institution with large investment and corporate banking – are challenged with monolithic payment systems that are expensive to maintain and lack the data flexibility and third-party integration capabilities required by modern payment ecosystems. Data handling and a composable architecture and design are becoming the epicenter. Watch this webinar to learn how MongoDB’s developer data platform offers you the capabilities to create an enriched payments experience by consolidating, ingesting, and acting on payments data instantly, delivering value-added services and features to consumers and business customers. In this payments modernization webinar on April 27th, we will be covering: The business problems that are changing the way organizations think about data How a modern payments data architecture scales effortlessly, with zero downtime, and analyzes any type of payments data in place and in real time How organizations are meeting industry standards like 3-D Secure 2 with application-driven analytics that enable you to detect and block fraudulent activity Success stories of how organizations have modernized with MongoDB’s operational and analytical data services We’ll be joined by: Boris Bialek: Managing Director of Industry Solutions, MongoDB

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June 15, 2023

Payments modernization – architectures shaping the future of Asia-Pacific

8.30am IST | 11am SGT | 1pm AEDT | 3pm NZDT The payments landscape in Asia-Pacific is evolving rapidly with customers expecting a connected and secure experience, coupled with new and changing standards and regulations. Those institutions that fail to meet these requirements risk losing out on significant revenue. Payment providers – be it a PSP acquiring consumer transactions or a financial institution with large investment and corporate banking – are challenged with monolithic payment systems that are expensive to maintain and lack the data flexibility and third-party integration capabilities required by modern payment ecosystems. Data handling and a composable architecture and design are becoming the epicenter. Watch this webinar to learn how MongoDB’s developer data platform offers you the capabilities to create an enriched payments experience by consolidating, ingesting, and acting on payments data instantly, delivering value-added services and features to consumers and business customers. In this payments modernization webinar on June 15th, we will be covering: The business problems that are changing the way organizations think about data How a modern payments data architecture scales effortlessly, with zero downtime, and analyzes any type of payments data in place and in real time How organizations are meeting industry standards like 3-D Secure 2 with application-driven analytics that enable you to detect and block fraudulent activity Success stories of how organizations have modernized with MongoDB’s operational and analytical data services We’ll be joined by: Wei You Pan: Principal, Financial Services Industry Solutions at MongoDB

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