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Company Info for chicagofed.org | Icebreaker

Federal Reserve Bank of Chicago - Federal Reserve Bank of Chicago

Federal Reserve Bank of Chicago - Federal Reserve Bank of Chicago

The homepage of the Federal Reserve Bank of Chicago, including recent news, upcoming events, and economic snapshot data.

32 members

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chicagofed.org

Members

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Machine Learning @ Stripe | ex-Amazon

Jacqueline Barrett

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Helping high growth companies unlock the full potential of their data | PE & Startup Advisor

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Undisclosed in Irvine, CA

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Former Senior Counsel and Policy Advisor at the CFTC, Federal Reserve / Crypto, DeFi, Financial Markets, Derivatives, Securities/ Regulatory, Policy, and Strategic Consultant

Michelle Katics

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We are leading the way, combining simulation and AI to empower lenders to "See the Future. Shape the Outcome". BankersLab® is the award-winning and patented provider of consumer, retail and small business lending simulation. Clients in 5 countries have already experienced our AI + Portfolio Simulation approach. Clients have used our simulation in over 45 countries, including banks, FinTechs, credit unions, lenders, and credit bureaus. I am a FinTech entrepreneur, FemTech leader, and start-up mentor with over 25 years of experience in financial risk management, analytics, and portfolio simulation.

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Senior Policy Advisor & Head of Financial Markets Risk Analysis at the Federal Reserve

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Sr. Application Analyst at Societe Generale Corporate and Investment Banking - SGCIB

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Scott Amyx is Founder & CEO at Uplifty AI, Managing Partner at Astor Perkins, Harvard Business Review Advisory Council Member, Forbes New York Business Council Member, Singularity University/ Smart City Accelerator mentor and startup board member and SXSW Pitch judge. Scott is a Tribeca Disruptor Foundation Fellow, a disruptive innovation awards program of Tribeca Film Festival. Scott is a national Sloan Fellow. He has spoken at TEDx on exponential technologies, Fourth Industrial Revolution & success. He is also the Co-Organizer of TEDxWallStreet. Scott is a global thought leader on breakthrough innovation, voted top 10 international innovation keynote speaker, & author on smart cities, the Fourth Industrial Revolution and winner of the Cloud & DevOps World Award for Most Innovative and was voted Top Global Smart Cities by Inc. Magazine, HP Enterprise, and Postscapes. Scott has been nominated to the World Economic Forum as a committee member for the Future of the Internet. The Republic of Korea nominated Scott to present at the ITU Telecom World, United Nations. Sovereignties, governments, multinationals, and international consulting & research firms look to Scott for unrivaled insights and pulse on the changing landscape. He is a highly sought after, celebrated innovation keynote speaker who has spoken worldwide, including, but not limited to, the International CES, SXSW, European Commission, United Nations, ITU, Tribeca Film Festival and Skoll World Forum at the University of Oxford, MIT, Princeton University, KAIST, South Korea, University of Helsinki, Finland, University of Wisconsin, University of Connecticut, and Effat University, Saudi Arabia to name a few. He is represented by The Harry Walker Agency, London Speakers Bureau, BigSpeak, Thinking Heads, The Sweeney Agency and other major global speaking bureaus. Scott has been featured on New York Times, TIME, Forbes, The Washington Post, WIRED, TechCrunch, Inc., Pew Research, Chicago Tribune, InformationWeek, Forrester, & television & radio programs. He has spoken or scheduled to speak at TED, European Commission, World Economic Forum, ITU Telecom World/United Nations, International CES, Internet of Things World, IBM Insight, Amplify, Watson IoT, InterConnect, Cloud Expo Europe, & more. Scott is the co-author of Internet of Things and Data Analytics Handbook, an academic publication by John Wiley and Sons and The Advances in Information Security, Privacy, & Ethics Book Series: Managing Security Issues and the Hidden Dangers of Wearable Technologies, an academic publication by IGI Global.

Elliot Smalling

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Senior Data Scientist - Machine Learning