Virtual AI Summit schedule

Kapila Monga is an artificial intelligence (AI) and machine learning (ML) professional with over 15+ years of experience working with healthcare and life sciences clients across North America, designing AI/ML solutions. She currently serves as head of data science at Bon Secours Mercy Health.

Dr. Felix Bradbury is an award-winning data scientist, and board-certified healthcare executive with over 30 years of diverse experience with global health systems delivery. He is an oncology RN who holds a Doctor of Science in Health Systems Management and Medical Economics from Tulane University. While at Tulane, he completed a doctoral fellowship in medical informatics at the Ochsner Hospital and Healthplan. Dr. Bradbury currently serves on the Programs Policies and Services Committee of the Board of the American College of Healthcare Executives. As an associate editor for the Journal of Healthcare Management, he handles editorial work relating to AI, analytic infrastructure, and operations research. He received the Regent’s Award from the ACHE in 2005 and again in 2015 as well as MIT’s Fire Hose award in 2020 for work in data science and machine learning.

Mr. Vivek Verma is a Research Scientist with over a decade of experience working in sensors, semiconductors, pharmaceuticals, and automotive industry. He is currently working as Mid Data Scientist at Toyota Connected. He has also consulted startups in Artificial Intelligence and Data Science and helped to created Centers of Excellence in many universities globally. His interests lies in finding novel applications of AI in healthcare, automotives and sustainability. He can be reached out on LinkedIn and Twitter.

At Wayfair, we use machine learning to create experiences that our customers love, from search over personalization and recommendation to delivery time predictions. Supporting these high-impact use cases at scale requires robust and agile systems. Just as our recent growth necessitated a move from on-prem to public cloud based services, it required us to re-think our ML engineering strategy and move from home-grown custom solutions to industry-proven fully managed cloud based solutions. As we already made the decision to move our core systems to Google's Cloud Platform, it was natural to follow lead for our ML platform and tooling, which led us to invest heavily into Vertex AI, Google's end-to-end ML platform. In this talk, I will present the experience we had onboarding Vertex AI as well as the tooling and processes we have built to integrate and support it into our existing systems.

Christian is a seasoned Machine Learning Engineer with experience in ML research and engineering across the automotive, adtech and e-commerce industries. Most recently, he uses his broad experience to build processes and solutions that bring the latest cutting edge models from ML research to production at Wayfair.

After more than 10 years deploying machine learning models, and working with hundreds of companies, this presentation identifies the best-in-class tech stack for a streamlined and dependable AI workflow. The presentation demonstrates the standard ML lifecycle using the AI stack. 

Ted Kwartler is the Field CTO at DataRobot. Ted sets product strategy for explainable and ethical uses of data technology. Ted brings unique insights and experience utilizing data, business acumen and ethics to his current and previous positions at Liberty Mutual Insurance and Amazon. In addition to having 4 DataCamp courses, he teaches graduate courses at the Harvard Extension School and is the author of “Text Mining in Practice with R.” Ted is an advisor to the US Government Bureau of Economic Affairs, sitting on a Congressionally mandated committee called the “Advisory Committee for Data for Evidence Building” advocating for data-driven policies.

After more than 10 years deploying machine learning models, and working with hundreds of companies, this presentation identifies the best-in-class tech stack for a streamlined and dependable AI workflow. The presentation demonstrates the standard ML lifecycle using the AI stack.

Alex Tsourmas is a Customer-Facing Data Scientist at DataRobot. He leverages the DataRobot platform to drive the adoption of AI and Machine Learning at enterprises in the United States and Canada. Prior to DataRobot, Alex worked as a data science consultant at IBM for Fortune 500 companies across the United States. He has worked on a diverse range of use-cases including international shipping, the prediction of behavior in the derivatives markets, and refinery optimization. Alex is currently furthering his studies in analytics at the University of Chicago.

Chathuri is a data science and AI leader with contributions to paradigm changing initiatives including FDA’s AI/ML framework for digital health. She used to provide leadership in AI and MLOps at Sanofi Chief Data Office. Prior to Sanofi, she spent time at US FDA (CDRH and CDER) and BioMerieux, pushing boundaries in life science industry using data science and AI covering multiple functional areas: R&D, industrial affairs, medical affairs, and pharmacovigilance. She adept at advancing capabilities for data and AI scaling-up with modern cloud-based technologies in agile. Chathuri has experience in building teams, platforms, enterprise standards and learning curriculums to inspire cultural shifts to build AI- and Data-Products at scale.

Neha Borkar works in the Provisioning & Administration Analytics team at Adobe. She work on driving ARR growth opportunities using predictive modeling and hypothesis-driven data analysis, as well as extensive work on A/B testing and design of experiments for improving engagement and retention for the B2B segment. Neha enjoys solving problems and using her skills to contribute to the exciting technological advances that happen every day at Adobe. Neha graduated from the Georgia Institute of Technology with a master’s degree in Industrial & Systems Engineering and a minor in ML and Statistics.

Carolyn Phillips is a Senior Staff Machine Learning Scientist at Wayfair.  She specializes in getting machine learning science research deployed at scale into engineering production systems.   Carolyn is passionate about building elegant, simple, but pragmatic solutions that make innovating easy.  With a PhD in Applied Physics and Scientific Computing from the University of Michigan, Carolyn began her career as a computational scientist at Argonne National Laboratory.   She is ready to wax poetically about the self-assembly of icosahedral quasicrystals if asked.

Dominique Boucher is currently Chief Solutions Architect / Conversational AI at National Bank of Canada where he is responsible for the development of NBC's dialogue system platform from the technical side. His main interests revolve around the application of AI/machine learning techniques to complex business problems, and in the use of conversational interfaces to help optimize business processes in particular. Prior to that, he was the CTO of Nu Echo where he led the Omnichannel Innovations Lab, from both the business and R&D perspectives. He has been in the speech recognition and conversational AI industry for more than 20 years. He holds a PhD from the University of Montreal.

Sarah is a Senior Manager of Conversation Design AI Development for the Self-Support and Modernization team at RBC. She has been at the bank for almost 5 years now and is responsible for designing and developing end-to-end natural conversational experiences for a virtual assistant that is being built in house. She is passionate about human-centric design, technology transformation and continuous learning.

As the use of artificial intelligence, machine learning and Big Data continues to develop across industries, companies are presented with increasingly complex legal, ethical and operational challenges. Companies that create or work with AI offerings to support or enhance products or business methods need guidance to succeed. Learn how best to build and maintain an ethics by design program, leverage your existing privacy and security program framework, and manage stakeholders at this presentation by legal and data ethics leads at Autodesk

Alexandra Ross is Senior Director, Senior Data Protection, Use & Ethics Counsel at Autodesk, Inc. where she provides legal, strategic and governance support for Autodesk’s global privacy, security, data use and ethics programs. She is also an Advisor to BreachRx and an Innovators Evangelist for The Rise of Privacy Tech (TROPT).  Previously she was Senior Counsel at Paragon Legal and Associate General Counsel for Wal-Mart Stores. She is a certified information privacy professional (CIPP/US, CIPP/E, CIPM, CIPT, FIP and PLS), holds a law degree from UC Hastings College of Law, and a B.S. in theater from Northwestern University. Alexandra is a recipient of the 2019 Bay Area Corporate Counsel Award – Privacy.

As the use of artificial intelligence, machine learning and Big Data continues to develop across industries, companies are presented with increasingly complex legal, ethical and operational challenges. Companies that create or work with AI offerings to support or enhance products or business methods need guidance to succeed. Learn how best to build and maintain an ethics by design program, leverage your existing privacy and security program framework, and manage stakeholders at this presentation by legal and data ethics leads at Autodesk.

Alec Shuldiner, PhD., leads Autodesk’s Data Ethics Program, a key component of the company’s trusted data practices. He has a background in big data, compliance, and technological systems, and is an occasional IoT researcher and commentator.

Detlef Nauck is the Head of AI & Data Science Research for BT’s Applied Research Division located at Adastral Park, Ipswich, UK. Detlef has over 30 years of experience in AI and Machine Learning and leads a programme spanning the work of a large team of international researchers who develop capabilities underpinning modern AI systems.
A key part of Detlef’s work is to establish best practices in Data Science and Machine Learning for conducting data analytics professionally and responsibly. Detlef has a keen interest in AI Ethics and Explainable AI to tackle bias and to increase transparency and accountability in AI.
Detlef is a computer scientist by training and holds a PhD and a Postdoctoral Degree (Habilitation) in Machine Learning and Data Analytics. He is a Visiting Professor at Bournemouth University and has published 3 books, over 120 papers, and holds over 20 AI patents.

Emmanuel Ferreyra Olivares, PhD, is an AI & Data Security researcher with Fujitsu Research of Europe. In this role, Emmanuel is involved in designing and developing reliable and secure data-driven AI solutions relevant for highly regulated industries by practising close collaboration with global partners both in the industry and academia. Emmanuel’s research interests are in the broad areas of Cyber Security, Explainable AI, Computational Intelligence and Smart Simulation.

A User Experience Researcher in Safety, John earned his/their PhD in Communication from Cornell University in 2021, as well as an MS in Communication, an MA in Cultural anthropology, and BS in Political Science. A classical ethnographer by training, John has expanded an anthropological approach to encompass media studies, social physiology, political science, and urban design. It’s from that mixed vantage that John considers the effects on and of technology on social process and structures; documenting for his PhD the legacy of for hire transportations’ impact on the evolution of unequal access, its reflection of dominant societal priorities, and their impact on emerging rideshare and autonomous transportation systems. John’s current work in the realm of safety blends a passion for wicked problems with the demand of real-world complexities impacting the transportation landscape.

Abhishek Gupta is the Senior Responsible AI Leader & Expert with the Boston Consulting Group (BCG) where he works with BCG's Chief AI Ethics Officer to advise clients and build end-to-end Responsible AI programs. He is also the Founder & Principal Researcher at the Montreal AI Ethics Institute, an international non-profit research institute with a mission to democratize AI ethics literacy. Through his work as the Chair of the Standards Working Group at the Green Software Foundation, he is leading the development of a Software Carbon Intensity standard towards the comparable and interoperable measurement of the environmental impacts of AI systems.

Apostol Vassilev leads a Research Team at NIST. His team focuses on a wide range of AI problems: AI bias identification and mitigation, meta learning with large language models for various NLP tasks, robustness and resilience of AI systems, applications of AI for mitigating cybersecurity attacks. Apostol’s scientific background is in mathematics (Ph.D.) and computer science (MS), but he is also interested in social aspects of using AI technology and advocates for a comprehensive socio-technical approach to evaluating AI’s impact on individuals and society.

Supreet is an AVP at Morgan Stanley. Prior to Morgan Stanley, she was a management consultant at ZS Associates where she automated different workflows and built data driven solutions for fortune 500 clients. She is extremely passionate about technology and AI and hence started her own community called DataBuzz where she engages the audience by sharing the latest AI and Tech trends and also mentors people who want to pivot in this field.