7 events found.
Week of Events
Sunday, January 18, 2026
No events on this day.
Monday, January 19, 2026
No events on this day.
Tuesday, January 20, 2026
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January 20, 2026 -IEEE Seattle January EXCOM and Distinquished lecture on Fraud detection Tuesday January 20th, 2026
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January 20, 2026 -Distinquished lecture on AI for Fraud detection and Remediation Tuesday January 20th, 2026
IEEE Seattle January EXCOM and Distinquished lecture on Fraud detection Tuesday January 20th, 2026
Please join the IEEE Seattle Section January 20th EXCOM Meeting at Seattle University Prior to EXCOM , 6pm - 6:50pm Distinquished speaker Speaker :Manav Kapoor, Senior Technical Product Manager, Amazon Topic: AI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement Abstract Consumer fraud losses reached $12.5 billion in 2024, a 25% increase year-over-year, despite 99% of financial institutions deploying AI for fraud detection. This paradox reveals the industry's true challenge: while AI-powered detection has achieved 92-98% accuracy, enforcement systems remain woefully underprepared to act on those detections at scale. This talk examines why the bottleneck has shifted from finding bad actors to stopping them. Drawing from 14+ years of building fraud prevention systems at Amazon, Goldman Sachs, and Barclays, Manav presents a practical framework for closing the detection-enforcement gap through four emerging capabilities: agentic AI case management, unified risk intelligence, automated dispute resolution, and upstream network disruption. Attendees will learn: - How to evaluate AI fraud capabilities that matter: real-time decisioning under 200ms, 40-60% fewer false positives, and seamless customer experience without added friction. - Why scaling detection without enforcement infrastructure creates operational debt, and how to right-size AI investment for measurable business outcomes. - Co-branded card fraud patterns unique to loyalty programs (points laundering, synthetic redemption, promo abuse) and how to build detection rules that protect brand partners without blocking legitimate high-value customers. - How to structure the fraud prevention P&L: balancing direct loss prevention against false positive costs, customer churn from declined transactions, and operational expense of manual review queues. The institutions that thrive in this AI-first era will recognize fraud prevention not as a cost center, but as a strategic capability enabling digital innovation at scale. Biography: Manav Kapoor is a seasoned product and technology leader with over 14 years of experience driving innovation at the intersection of technology, customer experience, and business strategy. He currently serves as a Senior Technical Product Manager at Amazon's Selling Partner Trust and Store Integrity organization, leading AI/ML-powered technology innovations that protect customers from sales abuse through unfair and illegitimate business practices across Amazon's global marketplace, safeguarding 300MM+ Amazon customers worldwide. Previously, as a VP at Goldman Sachs, Manav led the fraud product team for Apple Card and spearheaded the launch of the digital High Yield Savings Account in partnership with Apple, the first banking product fully integrated into Apple's iOS ecosystem, which accumulated over $10 billion in deposits. Manav has built a career translating complex technical challenges into customer-first innovations, spanning marketplace trust and safety, fraud detection, digital banking, and customer experience. An IEEE Senior Member, Products That Count Advisory Council member, and Forbes Technology Council member, he speaks on ecosystem-driven product strategy, fraud detection, AI governance, and responsible AI implementation in regulated industries and e-commerce. Seattle Section EXCOM immediately follows 7PM- 8:30pm Psarking Link. PLease register for free parking Here's the parking link for Jan 20th. You are invited to reserve parking for an event at Seattle University. To reserve parking, click on the following link: https://www.offstreet.io/events/0JKFLOM9 and enter your vehicle license plate. Note: This is a virtual parking permit. Agenda: January 20th 2026, Pacific Time 6:00pm- 6:50 pm. Distinquished speaker ; Manav Kapoor, Senior Technical Product Manager, Amazon AI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement 7:00pm- 8:30pm; IEEE Seattle section EXCOM 1) Section business 2) Section finance, 3) Chapter report; 4) Stubent Branch report 5) other business Here's the parking link for Jan 20th. You are invited to reserve parking for an event at Seattle University. To reserve parking, click on the following link: https://www.offstreet.io/events/0JKFLOM9 and enter your vehicle license plate. Note: This is a virtual parking permit. Room: 107, Bldg: Bann, 901 12th Avenue, , Seattle, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/533031
Distinquished lecture on AI for Fraud detection and Remediation Tuesday January 20th, 2026
Please join the IEEE Seattle Section January 20th EXCOM Meeting at Seattle University Prior to EXCOM , 6pm - 6:50pm Distinquished speaker Speaker :Manav Kapoor, Senior Technical Product Manager, Amazon Topic: AI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement Abstract Consumer fraud losses reached $12.5 billion in 2024, a 25% increase year-over-year, despite 99% of financial institutions deploying AI for fraud detection. This paradox reveals the industry's true challenge: while AI-powered detection has achieved 92-98% accuracy, enforcement systems remain woefully underprepared to act on those detections at scale. This talk examines why the bottleneck has shifted from finding bad actors to stopping them. Drawing from 14+ years of building fraud prevention systems at Amazon, Goldman Sachs, and Barclays, Manav presents a practical framework for closing the detection-enforcement gap through four emerging capabilities: agentic AI case management, unified risk intelligence, automated dispute resolution, and upstream network disruption. Attendees will learn: - How to evaluate AI fraud capabilities that matter: real-time decisioning under 200ms, 40-60% fewer false positives, and seamless customer experience without added friction. - Why scaling detection without enforcement infrastructure creates operational debt, and how to right-size AI investment for measurable business outcomes. - Co-branded card fraud patterns unique to loyalty programs (points laundering, synthetic redemption, promo abuse) and how to build detection rules that protect brand partners without blocking legitimate high-value customers. - How to structure the fraud prevention P&L: balancing direct loss prevention against false positive costs, customer churn from declined transactions, and operational expense of manual review queues. The institutions that thrive in this AI-first era will recognize fraud prevention not as a cost center, but as a strategic capability enabling digital innovation at scale. Biography: Manav Kapoor is a seasoned product and technology leader with over 14 years of experience driving innovation at the intersection of technology, customer experience, and business strategy. He currently serves as a Senior Technical Product Manager at Amazon's Selling Partner Trust and Store Integrity organization, leading AI/ML-powered technology innovations that protect customers from sales abuse through unfair and illegitimate business practices across Amazon's global marketplace, safeguarding 300MM+ Amazon customers worldwide. Previously, as a VP at Goldman Sachs, Manav led the fraud product team for Apple Card and spearheaded the launch of the digital High Yield Savings Account in partnership with Apple, the first banking product fully integrated into Apple's iOS ecosystem, which accumulated over $10 billion in deposits. Manav has built a career translating complex technical challenges into customer-first innovations, spanning marketplace trust and safety, fraud detection, digital banking, and customer experience. An IEEE Senior Member, Products That Count Advisory Council member, and Forbes Technology Council member, he speaks on ecosystem-driven product strategy, fraud detection, AI governance, and responsible AI implementation in regulated industries and e-commerce. Seattle Section EXCOM immediately follows 7PM- 8:30pm Psarking Link. PLease register for free parking Here's the parking link for Jan 20th. You are invited to reserve parking for an event at Seattle University. To reserve parking, click on the following link: https://www.offstreet.io/events/0JKFLOM9 and enter your vehicle license plate. Note: This is a virtual parking permit. Agenda: January 20th 2026, Pacific Time 6:00pm- 6:50 pm. Distinquished speaker ; Manav Kapoor, Senior Technical Product Manager, Amazon AI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement 7:00pm- 8:30pm; IEEE Seattle section EXCOM 1) Section business 2) Section finance, 3) Chapter report; 4) Stubent Branch report 5) other business Here's the parking link for Jan 20th. You are invited to reserve parking for an event at Seattle University. To reserve parking, click on the following link: https://www.offstreet.io/events/0JKFLOM9 and enter your vehicle license plate. Note: This is a virtual parking permit. Room: 107, Bldg: Bann, 901 12th Avenue, , Seattle, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/533161
Wednesday, January 21, 2026
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January 21, 2026 -Let’s Connect Intelligences
Let’s Connect Intelligences
Abstract: Who remembers a world without cell phones, the Internet, and ChatGPT? Radio Frequency Integrated Circuits (RFIC) have enabled democratizing communications with ever-greater data exchanges. At the IMS laboratory, we invent the technology and systems that allow us to increase the communication potential from one generation to the next tenfold: goodbye 4G and soon 5G, we are making 6G with the following generation in our sights. What more can we connect and how? Get ready for the revolution where human and artificial intelligences will communicate in tomorrow's networks with integrated circuits we will invent now. Bio: Dr. Francois Rivet received his Master's and Ph.D. degrees in 2005 and 2009 from the University of Bordeaux, France. Since June 2010, he has been tenured as an Associate Professor at the Bordeaux Institute of Technology (Bordeaux INP). His research is focused on the design of RFICs in the IMS Laboratory, the University of Bordeaux microelectronics laboratory. In 2014, he founded the "Circuits and Systems" research team. Dr. Rivet has publications in top-ranked journals, international and national conferences, and holds 20 patents. He is involved in several Steering and Technical Program Committees of flagship conferences. He was General Chair of the IEEE Radio Frequency Integrated Circuits Symposium (RFIC) in 2025 in San Francisco, USA. He is a member of the Board of Governors of the IEEE Circuits and Systems Society since 2024. [] Speaker(s): Francois Rivet, Room: 269 (2nd Floor), Bldg: Electrical and Computer Engineering Building, University of Washington, Seattle Campus, 185 Stevens Way NE, , Seattle, Washington, United States, 98195
Thursday, January 22, 2026
No events on this day.
Friday, January 23, 2026
No events on this day.
Saturday, January 24, 2026
No events on this day.