• AI & Machine Learning at Capital One

    Online event

    *** Online Event. Zoom link will be shared with registered attendees ***

    With multiple Ph.Ds and consistent success building highly effective AI and Machine Learning organizations at companies such as Facebook, Google, and IBM, Abhijit Bose is on a mission to take Capital One Machine Learning to the next level. As the current head of Capital One’s Center for Machine Learning, Abhijit Bose, will provide us with insights into how he is shaping the future of ML at Capital One, both from platform as well as organizational development perspective. Whether you are looking to build your own individual career in ML or building an ML organization for your company, there will be plenty of insights to take away from. This talk is suitable for both technical and business audiences with enough time for Q&A.

    About Abhijit Bose:

    Abhijit Bose has 20+ years of experience building and leading world class machine learning and data science organizations. He is currently serving as the Head of Machine Learning & Enterprise Platforms at Capital One. Prior to Capital One, Abhijit was Facebook’s Head of East Coast Engineering, leading AI Research. Prior to joining Facebook, he was the Managing Director of Data Science for JP Morgan's Digital Organization. He has also worked for IBM, Google, and American Express.

    Abhijit Bose has an equally stellar academic background with a Bachelors in Mechanical Engineering, dual-Masters in Mechanical Engineering and Computer Science, as well as a dual-Ph.D in Computer Science and Engineering Mechanics. Abhijit lives in New Jersey with his wife, 5-year-old twins and an Eskie. Outside of work, he enjoys volunteering with his family at their local animal shelter, as well as hiking and visiting state parks.

    4
  • Document Understanding - NLP & OCR Innovations at MIT CSAIL

    Online event

    [masked]: Introduction[masked]: Main talk + Q&A

    COVID-19 has been a major catalyst for transformation, accelerating the need to automate processes that have been traditionally paper based. Document understanding, leveraging the latest innovations in NLP and OCR techniques have been critical in supporting his transformation. In this talk, Dr. Amar Gupta will introduce the latest innovations happening in this domain at MIT CSAIL, the largest AI research lab at MIT with over 1000 researchers and 60 research groups. He will use examples from Telemedicine and Finance industry that can be broadly adopted for consumer services uses cases involving document understanding and processing.

    The talk is suitable for both technical as well as business audience. Considering the broad applications of Amar’s research, we expect this talk to be highly interactive with half the time reserved for Q&A.

    About the speaker:
    Dr. Amar Gupta is a Principal Investigator and Scientist at MIT CSAIL, the largest AI research lab at MIT with over 1000 researchers and 60 research groups. He is a well-known author of numerous research publications and books, with thousands of citations (https://en.wikipedia.org/wiki/Amar_Gupta)

    Dr. Gupta has spent the bulk of his career at MIT. He played the lead role in developing the patented AI-based technology for automated reading and processing of bank checks. After serving as Endowed Professor at another university and as Dean of Computer Science and Information Systems at a third university, he rejoined MIT. He has served as advisor to large companies and international agencies (including World Bank and World Health Organization) and possesses a rich and diverse portfolio of research which has played a significant role in nucleating several technologies that are in broad use today. At MIT, he is currently affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL), the Department of Electrical Engineering and Computer Science (EECS), and the Institute for Medical Engineering & Science (IMES).

    2
  • Open source tools for rigorous, reproducible machine learning

    Online event

    Curious to learn about the development, implementation and engineering surrounding MLOps? Join this talk by Dr. Elle O'Brien (https://www.linkedin.com/in/drelleobrien/), lecturer and researcher at University of Michigan, data scientist at Iterative.ai and co-creator of CML.
    ---
    Machine learning is maturing as a discipline: now that it’s trivially easy to create and train models, it’s never been more challenging to manage the complexity of experiments, changing datasets, and the demands of a full-stack project. In this talk, we’ll examine why one of the staples of DevOps, continuous integration, has been so challenging to implement in ML projects so far and how it can be done using open-source tools like Git, GitHub Actions, and DVC (Data Version Control). We will discuss a new open source project (Continuous Machine Learning) created to adapt popular continuous integration systems like GitHub Actions and GitLab CI to data science projects.
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  • AI and ML in Space Tech

    Online event

    *** This is an online event. Zoom link will be shared with registered attendees ***

    Agenda (Central times):
    5.00 pm: Event kickoff & Meetup Intro[masked]pm: Main Talk following 10 minutes for Q&A

    We are excited to have two IBM space industry specialists, Naeem Altaf and Colin Alstad, to talk about space industry, various space tech initiatives and the AI/ML that powers today's space age.

    Program:
    25 min - Space Age Overview
    25 min - Space Situational Awareness - AI behind it
    10 min - questions

    Here's the link to the SSA open source project:
    https://github.com/IBM/spacetech-ssa

    About the Speakers:
    Naeem Altaf, IBM Distinguished Engineer & CTO Space Tech
    IBM Quantum Ambassador
    Blue Tech Innovation Lab, Space Tech Hub
    Explore Mars, Board of Technical Advisors
    Center of Advanced Studies Executive, UT Austin
    Member, IBM Academy of Technology
    https://www.linkedin.com/in/lahori/

    Colin Alstad, Senior Data Scientist at IBM
    https://www.linkedin.com/in/calstad/

    2
  • Machine Learning for Causal Inference: Challenges and Opportunities

    *** This is an online event. Zoom link will be shared with registered attendees ***

    Agenda (All Central times):
    5.45pm: Event kickoff & Meetup Intro[masked]pm: Main Talk (Includes 30mins for Q&A)

    In this talk, Josh and Chris will talk about the fundamentals of causal inference and the role ML can play in achieving causal insight in the absence of randomized experimental data.

    We will explore the following questions:
    * What is the difference between predictive and causal inference? Why is causal inference valuable?

    * What makes achieving causal insights difficult? What is the difference between observational and experimental settings?

    * What are the limitations and opportunities in applying ML to causal inference problems?

    About the speakers:
    Chris Yang - CTO @ Domino Data Labs, a platform for Data Science and Machine Learning.
    Linkedin: https://www.linkedin.com/in/christopher-yang-a629a658/

    Josh Broomberg - R&D Engineer @ Domino Data Labs
    Linkedin: https://www.linkedin.com/in/joshuamax/

    Domino Data Lab:
    https://www.dominodatalab.com/

    2
  • AI Innovations at MIT CSAIL

    Online event

    [masked]pm CST: Introduction and Networking[masked]pm CST: Main Talk and Q&A

    Curious about the latest AI innovations at MIT CSAIL, the largest research lab at MIT? Join us to hear from Lori Glover, Managing Director - MIT CSAIL Global Strategic Alliances. Lori will share some of the exciting AI initiatives across the lab and related success stories. The talk will be valuable for both business and technical audience.

    You don’t want to miss if any of these apply to you:
    • You are curious about AI innovations at MIT CSAIL for your own professional or academic growth.
    • You are in a leadership role and like to know how your company or team can benefit from MIT CSAIL.
    • You want to network (virtually) with like-minded professionals.

    About the speaker:
    Lori Glover leads global partnerships and alliances for MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) – the largest lab at MIT with over 1000 researchers and 60 research groups. She is responsible for corporate and organizational engagement with the lab through the CSAIL Alliance Program, research initiatives, the Visiting Industry Researcher program, start-ups and technology ecosystem, professional development programs and talent acquisition/recruiting within CSAIL. She also serves as Executive Director of SystemsThatLearn@CSAIL, FinTech@CSAIL and MachineLearningApplications@CSAIL.

    Lori is also a member of the Board of Directors for the American Society of Engineering Education, College and Industry Partnership Division, the Advisory Board of EBSCO and the Massachusetts Cyber Education and Training Consortium (CETC).

    She holds a Juris Doctor and has also practiced law as a member of both the Massachusetts and Florida bar associations.

    1
  • Explainable AI @ Capital One Center for Machine Learning

    Online event

    *** This is an online event. Zoom link will be shared with registered attendees ***

    Agenda (All Central times):[masked]pm: Event kickoff & Meetup Intro[masked]pm: Main Talk (Includes 30mins for Q&A)

    What are the top challenges companies face when deploying AI solutions? Most experts argue that the limitations around explainability of AI models continue to be among the top reasons AI solutions do not see the light of day, even if they significantly improve accuracy. As such, Explainable AI is considered the next frontier in AI space. Moreover, we cannot have Responsible AI without Explainable AI.

    In this talk, Teuta Mercado – Director of Responsible will lay out the context around why Explainable AI is required for Responsible AI, followed by Bayan Bruss - Head of Applied Research and Senthil Kumar-Chief ML Scientist at the Capital One Center for Machine Learning reviewing Explainable AI space along with some of the cutting edge research they are leading.

    About the speakers:

    Bayan Bruss
    Bayan is the director and head of Applied Machine Learning research at Capital One’s Center for Machine Learning. His research experience spans many disciplines from risk modeling for critical infrastructure, computational psycholinguistics, cybersecurity, and representation learning. Most recently he has been focused on the application of graph machine learning to financial transactions. He has served on the program committee for several conferences and workshops (KDD ‘20, ICAIF ‘20, Usenix SCaiNet ‘19). Bayan is reachable at: https://www.linkedin.com/in/bayan-bruss/

    Senthil Kumar
    Senthil is the Chief ML Scientist at Capital One’s Center for Machine Learning where he applies Machine Learning and AI to various business problems. Prior to joining Capital One, he was at Bell Laboratories where he developed new technologies and managed several successful products that have been licensed around the world. He has published over 30 papers and holds 6 patents. Most recently, he co-organized the 2019 KDD Workshop on Anomaly Detection in Finance, and the 2019 NeurIPS Workshop on Robust AI in Financial Services. Senthil is reachable at: https://www.linkedin.com/in/senthil-kumar-24b0419/

    Teuta Mercado
    Teuta leads the Responsible AI program at Capital One which seeks to empower associates to ethically innovate machine learning. Teuta joined Capital One in 2016 as a Compliance Advisor to the Retail Bank, and has over 10 years of experience in Financial Services compliance. Teuta is reachable at: http://linkedin.com/in/teuta-bitici-mercado-b9058a4

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  • Virtual: Business Process Optimization with Machine Learning!

    Online event

    This is a joint event with Kaggle Days Meetups, Dallas.

    Kaggle Days Meetups are a series of events held all over the world, created by Kaggle and LogicAI, that aim to gather Kagglers and people interested in data science around one city.

    Agenda:
    4:00 - 4:10 Open lobby chat between virtual participants
    4:10 – 4:15 Introductions by Babar, Aamer, and Authman
    4:15 – 5:00 Presentations and QA
    5:00 – Closing remarks and SPECIAL announcement!

    Abstract:
    Running inference with machine learning models has become rather straightforward. But the process needed to get there successfully can be anything but simple. Technical and business complications enforce constraints, additional ad-hoc training and validation might be required, perhaps even thousands of models may need to be spun up, or you might even do something unconventional like using a label to predict itself! In this meetup, we demonstrate with a real-life use case that properly understanding a business issue and then translating it into a technically constrained problem are KEY to applying data science properly.

    During the presentation, Kaggle Master and long time data-science educator Laurae, along with his invitee, Sebastien Davoust will talk about how they approach operational efficiency with "next-day package delivery routing" optimization at La Poste Colissimo, a French prime postal delivery service. From understanding the problem to implementing a solution, you will discover and learn the most important ins and outs of solving business problems with applied data science. Go beyond model.fit!

    Speakers:
    Laurae (Damien Soukhavong) was awarded an MSc with honors in auditing, management accounting, and information systems from SKEMA Business School in Paris. He spent five years doing data science freelancing, corporate ML training, and content writing. He has since been working as an architect and data science consultant at Planeum for large accounts, such as La Poste, Givaudan, and Faurecia. https://www.linkedin.com/in/dsoukhavong

    Sebastien Davoust received his Master in electronics, electrical engineering, and automatic from the Paris-Saclay University (formerly Paris Faculty of Sciences of Orsay). He worked as a Unix and BI consultant at Thales from[masked], and as a SAP BI expert consultant from[masked]. Since then, he's been working as a business intelligence coordinator at La Poste Colissimo. https://www.linkedin.com/in/sébastien-davoust-6a376726/

    About our Hosts:
    Dialexa is a Technology Research, Design, and Creation Firm. We build revolutionary technology products and user experiences that solve today's complex business challenges. Whether it's bringing car subscriptions to market or re-engineering physician engagement for healthcare systems, Dialexa drives true innovation, creates larger impact, and furthers our client's business objectives. To learn more about Dialexa, visit https://www.dialexa.com

    #BusinessUnderstanding #OperationsResearch #PredictiveModeling #MachineLearning

  • Implications of Artificial Intelligence for Cybersecurity

    Online event

    *** This is an online event. Zoom link will be shared with registered attendees ***
    [masked]pm: Kickoff and Introduction[masked]pm: Main Talk and Q&A

    Ever wonder about the impact of AI on Cybersecurity? Join us to hear from a top authority on this subject, Dr. Frederick Chang, former Director of Research at the NSA (National Security Agency) who has also served as a cybersecurity expert witness on multiple occasions at hearings convened by the U.S. House of Representatives.

    With ever growing cybersecurity threats and challenges, it’s no surprise that the interest on the impact of AI on cybersecurity has boomed. The computing and communications technologies on which we have come to rely present serious security concerns; Cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity.

    The National Academies of Sciences, Engineering, and Medicine convened an extensive workshop on the topic last year and published their detailed findings at: https://www.nap.edu/catalog/25488/implications-of-artificial-intelligence-for-cybersecurity-proceedings-of-a-workshop.
    In this talk Dr. Chang, who chaired the workshop, will summarize those valuable finings. The talk is suitable for both technical and business audience.

    About the Speaker:
    Frederick R. Chang is the Chair of the Computer Science Department in the Lyle School of Engineering at Southern Methodist University (SMU). He is also the Bobby B. Lyle Endowed Centennial Distinguished Chair in Cyber Security and Professor in the Department of Computer Science. He is the Founding Director of the Darwin Deason Institute for Cyber Security and is a Senior Fellow in the John Goodwin Tower Center for Public Policy and International Affairs in SMU’s Dedman College. Additionally, Chang’s career spans service in the private sector and in government including as the former Director of Research at the National Security Agency.

    Dr. Chang was elected as a member of the United States National Academy of Engineering in 2016. He is currently the Co-Chair of the Intelligence Community Studies Board of the National Academies of Sciences, Engineering and Medicine and he is also a member of the Army Research Laboratory Technical Assessment Board of the National Academies. He has served as a member of the Computer Science and Telecommunications Board of the National Academies and as a member of the Commission on Cybersecurity for the 44th Presidency. He is the lead inventor on two U.S. patents and has appeared before Congress as a cybersecurity expert witness on multiple occasions. Dr. Chang received his B.A. degree from the University of California, San Diego and his M.A. and Ph.D. degrees from the University of Oregon. He has also completed the Program for Senior Executives at the Sloan School of Management at the Massachusetts Institute of Technology. He has been awarded the National Security Agency Director’s Distinguished Service Medal.