Articles by Jay
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Delivering accuracy and explainability for AI
Delivering accuracy and explainability for AI
By Jay Nanduri
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Our journey of applying generative AI to advance healthcare
Our journey of applying generative AI to advance healthcare
By Jay Nanduri
Activity
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This week in USA TODAY: ""As we've tracked GLP-1 use over the last couple of years, we've just seen these dramatic increases of use," said Tricia…
This week in USA TODAY: ""As we've tracked GLP-1 use over the last couple of years, we've just seen these dramatic increases of use," said Tricia…
Liked by Jay Nanduri
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Dr. Michael R. Jaff was one of the earliest champions of Truveta, and I was honored to have him join us on stage at last week's Symposium. Like Jaff,…
Dr. Michael R. Jaff was one of the earliest champions of Truveta, and I was honored to have him join us on stage at last week's Symposium. Like Jaff,…
Liked by Jay Nanduri
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What a week! Last week we wrapped on the 2nd annual Truveta Symposium, and I’m left feeling incredibly inspired and humbled by the energy coming out…
What a week! Last week we wrapped on the 2nd annual Truveta Symposium, and I’m left feeling incredibly inspired and humbled by the energy coming out…
Liked by Jay Nanduri
Experience & Education
Volunteer Experience
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Board of Director
Givology
- 4 years 5 months
Education
Givology: Give to learn, learn to give.
Givology (http://www.givology.com/) a 100% volunteer-run social enterprise focusing on grassroots education projects and student scholarships around the world. From teacher training and school lunch programs to library construction and scholarships emphasizing transparency and maximizing the impact on every dollar given.
Publications
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Ecommerce Fraud Detection Through Fraud Islands and Multi-layer Machine Learning Model
Future of Information and Communication Conference FICC 2020: Advances in Information and Communication
Main challenge for e-commerce transaction fraud prevention is that fraud patterns are rather dynamic and diverse. This paper introduces two innovative methods, fraud islands (link analysis) and multi-layer machine learning model, which can effectively tackle the challenge of detecting diverse fraud patterns. Fraud Islands are formed using link analysis to investigate the relationships between different fraudulent entities and to uncover the hidden complex fraud patterns through the formed…
Main challenge for e-commerce transaction fraud prevention is that fraud patterns are rather dynamic and diverse. This paper introduces two innovative methods, fraud islands (link analysis) and multi-layer machine learning model, which can effectively tackle the challenge of detecting diverse fraud patterns. Fraud Islands are formed using link analysis to investigate the relationships between different fraudulent entities and to uncover the hidden complex fraud patterns through the formed network. Multi-layer model is used to deal with the largely diverse nature of fraud patterns. Currently, the fraud labels are determined through different channels which are banks’ declination decision, manual review agents’ rejection decisions, banks’ fraud alert and customers’ chargeback requests. It can be reasonably assumed that different fraud patterns could be caught though different fraud risk prevention forces (i.e. bank, manual review team and fraud machine learning model). The experiments showed that by integrating few different machine learning models which were trained using different types of fraud labels, the accuracy of fraud decisions can be significantly improved.
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Microsoft Uses Machine Learning and Optimization to Reduce E-Commerce Fraud
The Institute for Operations Research and the Management Sciences
Many merchants conduct their businesses through e-commerce. One major challenge in tackling e-commerce fraud results from dynamic fraud patterns, which can degrade the detection power of risk models and can lead to them failing to detect fraud that has emerging unrecognized patterns. The problem is further exacerbated by the conventional decision frameworks that ignore the follow-up decisions made by other associated parties (e.g., payment-instrument-issuing banks and manual review agents)…
Many merchants conduct their businesses through e-commerce. One major challenge in tackling e-commerce fraud results from dynamic fraud patterns, which can degrade the detection power of risk models and can lead to them failing to detect fraud that has emerging unrecognized patterns. The problem is further exacerbated by the conventional decision frameworks that ignore the follow-up decisions made by other associated parties (e.g., payment-instrument-issuing banks and manual review agents). Microsoft developed a new fraud-management system (FMS) that effectively tackles these two challenges. It keeps features used by the machine learning (ML) risk models up to date by using real-time archiving, dynamic risk tables, and knowledge graphs. The FMS uses customized long-term and short-term sequential ML models to detect both historical and emerging fraud patterns. It also makes rapid real-time optimal decisions using a dynamic programming approach to optimize the long-term profit by taking into account the aforementioned multiple-party decisions. After implementing these innovations over a two-year period (2016–2018), Microsoft reduced its fraud loss by 0.52%, thus generating $75 million in additional savings; reduced the incorrect fraud rejection rate by 1.38%; and improved its bank authorization rate by 7.7 percentage points. The result was many millions of dollars in additional revenue. These innovations simultaneously prevent fraud and increase bank acceptance. In April 2019, Microsoft launched Microsoft Dynamics 365 Fraud Protection, a cloud-based service available for all e-commerce merchants.
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2019 Franz Edelman Award Finalist Microsoft
The Institute for Operations Research and the Management Sciences
This podcast is part of a series highlighting the finalist teams of the 2019 INFORMS Franz Edelman Award. We will be releasing these episodes in the countdown to the INFORMS Business Analytics Conference in Austin, TX, April 14-16. In this episode, we are joined by Jay Nanduri, Distinguished Engineer, and Anand Oka, Principal Group Program Manager with Microsoft to learn how Microsoft leveraged O.R. to create a fraud detection system that identifies and reduces online fraudulent activity, while…
This podcast is part of a series highlighting the finalist teams of the 2019 INFORMS Franz Edelman Award. We will be releasing these episodes in the countdown to the INFORMS Business Analytics Conference in Austin, TX, April 14-16. In this episode, we are joined by Jay Nanduri, Distinguished Engineer, and Anand Oka, Principal Group Program Manager with Microsoft to learn how Microsoft leveraged O.R. to create a fraud detection system that identifies and reduces online fraudulent activity, while protecting legitimate consumer purchases and saving tens of millions of dollars.
Honors & Awards
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Franz-Edelman-Laureate-2019
The Institute for Operations Research and the Management Sciences
https://pubsonline.informs.org/do/10.1287/orms.2019.02.31p/abs/
https://www.informs.org/Recognizing-Excellence/INFORMS-Prizes/Franz-Edelman-Award/Franz-Edelman-Laureates2/Franz-Edelman-Laureates-Class-of-2019
Languages
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Hindi
Native or bilingual proficiency
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Telugu
Native or bilingual proficiency
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English
Full professional proficiency
Recommendations received
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Join now to viewMore activity by Jay
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Reflecting on last week's Truveta Symposium with gratitude for the incredible representation across healthcare, public health, and life science…
Reflecting on last week's Truveta Symposium with gratitude for the incredible representation across healthcare, public health, and life science…
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This was a really incredible week - we held our second annual Truveta Symposium, welcoming healthcare, public health, and life sciences organizations…
This was a really incredible week - we held our second annual Truveta Symposium, welcoming healthcare, public health, and life sciences organizations…
Liked by Jay Nanduri
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Check out the full JAMA Internal Medicine study comparing Mounjaro and Ozempic code in Truveta Studio – fully reproducible by research teams to…
Check out the full JAMA Internal Medicine study comparing Mounjaro and Ozempic code in Truveta Studio – fully reproducible by research teams to…
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✨ And just like that, Truveta Symposium is wrapped! ✨ After months of planning meetings and organization, I'm so proud of the team I got to work…
✨ And just like that, Truveta Symposium is wrapped! ✨ After months of planning meetings and organization, I'm so proud of the team I got to work…
Liked by Jay Nanduri
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It's almost time for our annual Truveta Symposium! We're excited to connect with our customers and members this week, as we work together towards…
It's almost time for our annual Truveta Symposium! We're excited to connect with our customers and members this week, as we work together towards…
Liked by Jay Nanduri
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Published today in JAMA Internal Medicine - Truveta Research comparative effectiveness study on Mounjaro vs. Ozempic. Now peer-reviewed, looks at…
Published today in JAMA Internal Medicine - Truveta Research comparative effectiveness study on Mounjaro vs. Ozempic. Now peer-reviewed, looks at…
Liked by Jay Nanduri
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Truveta Data delivers the largest and most complete mother-child EHR dataset, empowering researchers to study mothers and children through their…
Truveta Data delivers the largest and most complete mother-child EHR dataset, empowering researchers to study mothers and children through their…
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Our Co-founder and CTO Jay Nanduri's latest article in his series on Truveta's AI approach focuses on how we ensure that the AI technologies used in…
Our Co-founder and CTO Jay Nanduri's latest article in his series on Truveta's AI approach focuses on how we ensure that the AI technologies used in…
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As #MensHealthMonth draws to a close, Truveta Research is sharing insights on prostate-specific antigen (PSA) screening recommendations, and how…
As #MensHealthMonth draws to a close, Truveta Research is sharing insights on prostate-specific antigen (PSA) screening recommendations, and how…
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"Perinatal women and their children have historically been excluded from clinical trials and data sources... That hinders efforts to understand the…
"Perinatal women and their children have historically been excluded from clinical trials and data sources... That hinders efforts to understand the…
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Recently, Truveta Research released the latest installment of their GLP-1 RA monitoring report. The report shows that overall prescription rates and…
Recently, Truveta Research released the latest installment of their GLP-1 RA monitoring report. The report shows that overall prescription rates and…
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Truveta offers regulatory and audit capabilities to support customers in real-world evidence submissions to the FDA and other global regulatory…
Truveta offers regulatory and audit capabilities to support customers in real-world evidence submissions to the FDA and other global regulatory…
Liked by Jay Nanduri
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❕❕TUNE IN NOW❕❕ Dr. Nick Stucky and Tricia Rodriguez, PhD, MPH just walked through detailed methodologies and findings from three Truveta Research…
❕❕TUNE IN NOW❕❕ Dr. Nick Stucky and Tricia Rodriguez, PhD, MPH just walked through detailed methodologies and findings from three Truveta Research…
Liked by Jay Nanduri
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⚡⚡LIVE⚡⚡ Our webinar hosts, Dr. Nick Stucky and Tricia Rodriguez, PhD, MPH, are discussing Truveta's partnerships with 30 health systems, giving us…
⚡⚡LIVE⚡⚡ Our webinar hosts, Dr. Nick Stucky and Tricia Rodriguez, PhD, MPH, are discussing Truveta's partnerships with 30 health systems, giving us…
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