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Stephen Carrad, Vice President, Software Engineer
Post originally published on AWS Machine Learning Blog | November 2022
How JPMorgan Chase & Co. Uses AWS DeepRacer Events to Drive Global Cloud Adoption
JPMorgan Chase started its cloud journey four years ago, building the integrations required to deploy cloud-native applications into the cloud in a resilient and secure manner. In the first year, three applications tentatively dipped their toes into the cloud, and today, we have an ambitious cloud-first agenda.
DEVUP Conference Celebrates Firm’s Top Engineering Talent
DEVUP kicked off in Plano, TX bringing together top engineers from across JPMorgan Chase in for a unique event designed by engineers for engineers to showcase the breadth of innovation excellence of our community. Over the next two days, participants will have the opportunity to solve business challenges strategically, discuss the future of technology, and connect with a community of like-minded peers.
Ben Flatgard, Executive Director, Cybersecurity & Technology Policy & Partnership and President, Coalition to Reduce Cyber Risk (CR2
JPMorgan Chase Launches Global Pledge to Improve Security Across Sectors and Borders
JPMorgan Chase is committed to protecting the firm, its customers and clients, as well as the financial system and broader digital ecosystem from cyber threats. As threats grow more sophisticated and digital operations become more complex, effective cyber risk management becomes fundamental to good business practice. To advance the global field of cyber risk management, we are proud to sign, along with 37 other organizations from 8 countries, the Coalition to Reduce Cyber Risk’s (CR2) Cyber Risk Management Pledge (the “Pledge”). The Pledge commits JPMorgan Chase to continuing effective cybersecurity practices and advancing cyber risk management practices across industry sectors and borders.
Rao Lakkakula, Head of Product Security and OpenSSF Governing Board Member
Benjamin Flatgard, Executive Director, Cybersecurity & Technology Policy & Partnerships
Doing Our Part to Secure the Open Source Ecosystem
At JPMorgan Chase, we rely on open source software to help drive our innovation. Our more than 53,000 global technologists utilize thousands of open source packages to develop tools that give our company, clients, and customers an edge. Today, we took a step to enhance the security of these packages and make our operations – and the entire ecosystem – more resilient. We are proud to have worked with Open Source Security Foundation (OpenSSF) and its members, to create the new Open Source Software Security Mobilization Plan, which will help to address security issues in the software supply chain.
Marco Pistoia, Ph.D., Distinguished Engineer and Head of FLARE; Suresh Shetty, Distinguished Engineer and Head of Blockchain Engineering for Onyx by J.P. Morgan | February 2022
JPMorgan Chase, Toshiba and Ciena Build the First Quantum Key Distribution Network Used to Secure Mission-Critical Blockchain Application
Proof of Concept Showed Ability to Detect and Defend Against Potential Threats and Eavesdroppers
In groundbreaking research with partners Toshiba and Ciena, our Future Lab for Applied Research and Engineering (FLARE) and Global Network Infrastructure teams demonstrated the full viability of a first-of-its-kind Quantum Key Distribution (QKD) network for metropolitan areas, resistant to quantum computing attacks and capable of supporting 800 Gbps data rates for mission-critical applications under real-world environmental conditions.
Roman Eisenberg, Head of Digital Technology at Chase
Creating a Purpose-Driven Tech Culture at Chase
At Chase, we don’t just think of ourselves as a financial institution, but innovators building state-of-the-art applications, products and services with top-tier talent rivaling the largest tech companies in the world, many of whom we work with today. We’re in 60 million households in the U.S. and have nearly 59 million digital users, so our technologists have a unique opportunity to make an immediate and significant impact on a large customer base. We develop products that impact the financial health of our customers, while also making sure that they are easy to use for our customers. Because of our size and scale, our customer focus presents no shortage of challenges for technologists - not just for the “happy path” experiences but also for some of the most complex edge cases.
Sudeepto Roy, Software Engineer, GTI
Protecting web applications via Envoy OAuth2 filter
Sidecar pattern which provides uniformity among all your micro-services with respect to protecting endpoint with OAuth2 workflow
In a cloud native world, a sidecar is a well-known pattern where functionalities of an application are segregated into a separate process to provide isolation and encapsulation. Important point here to note is that it is assumed that the sidecar and the application are residing in an encapsulated environment which is trusted. Thus, all the communications between an application and a sidecar are trusted. This provides an opportunity to implement authorization and authentication with the sidecar. The sidecar will let the incoming connection pass through the application only after a successful authorization and authentication. This pattern greatly helps a polyglot application.
Senatus AI: Software Development Re-invented
A state-of-the-art toolkit of A.I.-augmented capabilities which aim to "shift left" in the Software Development Lifecycle.
Sandhya Sridharan, Managing Director, Head of Core Development Platform and Engineering | November 2021
Driving Enterprise Software Delivery at Scale at JP Morgan Chase
Sandhya Sridharan, Head of Core Development Platform and Engineering, shares her perspectives on how JPMorgan Chase is navigating the challenges of developing and operating its developer platform ecosystem at scale and what elite performing really means to our company.
At JPMorgan Chase, we operate at a tremendous scale. Our technology organization is more than 50,000 people strong, with 35,000 developers and our teams are performing north of 120,000 builds daily, with over 70,000 deployments. To make things more interesting, we also have tremendous complexity and variance in our software development ecosystem. With all that in mind, delivering value without sacrificing security, quality and regulatory requirements across our application suite is much easier said than done
AI Research | September 2021
Synthetic Data for Real Insights
J.P. Morgan AI Research generates synthetic datasets to accelerate research and model development in financial services.
ANU J., PAUL C., ARUP N., CHIEF TECHNOLOGY OFFICE | APR 2021
Evolution of Data Mesh Architecture Can Drive Significant Value in Modern Enterprise
Most modern organizations recognize that their data benefits their entire enterprise. Data has value to the individual business process that produces it, but data’s additional potential can be realized when it’s combined with other data assets.
LAWRENCE H., AI RESEARCH INTERN | SEP 2020
Searching for Patterns in Daily Stock Data: First Steps Towards Data-Driven Technical Analysis
Chart patterns are a commonly-used tool in the analysis of financial data. Analysts use chart patterns as indicators to predict future price movements. The patterns and their interpretations, however, are subjective and may lead to inconsistent inference and biased interpretation.
AMY V., FENGLIN Y., MING C., JOHN B., PRASHANT D. | SEP 2020
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING TECHNOLOGY, CHIEF TECHNOLOGY OFFICE
Snorkeling: Label Data With Less Labor
Check out how Snorkeling can complement active learning and help partially automate the process of data label creation.
GUANGYU W., MACHINE LEARNING CENTER OF EXCELLENCE | AUG 2020
How to Build a FAQ Bot With Pre-Trained BERT and Elasticsearch
In this tutorial, we will demonstrate a simple way to create a FAQ bot by matching user questions to pre-defined FAQs using Sentence-BERT and Dense Vector Search in ElasticSearch with concrete code example. The solution is fast, accurate and scalable in production level environment.
MING C., ERICAMARIE K, FENGLIN YIN, HUANG Z., JOHN B., PRASHANT D. | JULY 2020
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING TECHNOLOGY, CHIEF TECHNOLOGY OFFICE
Use ML to Improve Customer Experience Without Data and Privacy Compromise
Read on to find out how you can use machine learning to redact personally identifiable information to generate customer insights while ensuring data and privacy protection.
APPLIED AI & ML TEAM | JUNE 2020
Enter EVA (Email Virtualization Automation)
How the firm’s in-house machine learning solution for emails helped teams process the email surge in Q1.
AUSTIN G., DIGITAL ADVANCED COMPUTING | MAY 2019
Quantum Computing From a Computer Science Perspective
When approaching quantum computing from a computer science perspective, it may seem intuitive to begin by comparing quantum computers directly with their classical counterpart. However, many who attempt to learn this way (myself included) end up more confused than informed, especially after encountering the complex mathematical and physics notation present in popular literature.
PRASHANT D., CHIEF TECHNOLOGY OFFICE | APRIL 2020
Learning More From Less Data With Active Learning
How JPMC is combining the power of machine learning and human intelligence to create high-performance models in less time and at less cost.
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