Global Head of Predictive Marketing and Shopping Analytics

Unilever

Sunando Das leads the Predictive Marketing and Shopping Analytics global centre of excellence in the Consumer and Market Insight team at Unilever. As part of his role, Sunando works with a team of data scientists, data engineers, econometricians, insights specialists and a network of specialist agency partners to create data science/ advanced analytics solutions, deploy scalable global programs across markets and drive business outcomes with stakeholders across functions. 

An accomplished speaker and thought leader, Sunando regularly publishes/ presents in platforms such as AI Summit, CIOapplications, Ad:Tech, AdMap, ARF Re:Think, Campaign, ESOMAR, Global Service Quality, Journal of Brand Management, i-Media. His work on AI algorithms for personalization strategies won the Research-Live Innovation of the year 2015 award, use of machine learning to uncover innovation platforms won MRS 2016 award for impactful insights. Sunando is a veteran data science practitioner with two decades of experience across strategic insights, adtech/ martech and consulting. 

Sunando is an MBA graduate with B.S. in Statistics. He has Data Science IoT certificate from the University of Oxford.

Assistant Professor, NYU and Vice President of AI

Mutual of America Financial Group  

With responsibilities of the Chief AI Officer, Stavros develops and delivers enterprise-wide AI Vision, and Strategy, leads hands-on development, and delivers integrated solutions. Strong business and technical acumen, with resilience in decision making and demonstrated ability in engaging and communicating with stakeholders. A thought leader with sharp focus on delivery, he develops and inspires multi-talented teams, which collaborate and choose the best tools for the job, drive adoption, build models, and deliver AI solutions, for business value generation, while providing seamless integration, automation, and the best user experience, taking into account AI ethics and explainability. Example: 27 AI related projects within 2 years, across multiple business lines. 11 in production. 
20+ years of multi-industry experience which includes solutions architecture, scalability, governance, machine learning, deep learning, NLP, data science, data engineering, building data-driven solutions and delivering business value. Stavros is an Adjunct Assistant Professor at NYU, an Honorary Appointee at the University of Exeter, has participated as a speaker at recent AI conferences, and has contributed to multiple peer-reviewed publications. Stavros is delivering Analytics and AI to production.

AVP

Morgan Stanley

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.

Associate Director, AI and Digital Diagnostics

AstraZeneca

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's 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 is 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.

Head of Data Science

Bon Secours Mercy Health 

Kapila is the Head of Data Science and Intelligent Process Automation at Bon Secours Mercy Health and has over 15+ years of experience in designing and delivering end to end data science and machine learning solutions. In her role at BSMH she is responsible for ensuring data science value realization in the $ 11 BN pro forma operating revenue / 50 hospital chain health system. Prior to Bon Secours Mercy Health, Kapila was leading the Data Science and Machine Learning solutioning for Healthcare across NA for Cognizant Technology Solutions. She has worked with Health insurance companies and provider systems across the US to partner with them on their journey of AI and Data science value realization. Kapila writes for Journal of AHIMA on topics related to Healthcare AI/ML and is passionate about using Digital technologies to Care for Caregivers.

Senior Director, Conversational AI Technologies

National Bank of Canada 

Dominique Boucher is currently  Senior Director, Conversational AI Technologies 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 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 and holds a PhD from the University of Montreal.

Senior Director, Senior Data Protection, Use & Ethics Counsel

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.

AI Healthcare Practitioner

MITRE

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.

As the AI Practitioner for the MITRE Corporation, a $9B per year Federally Funded Research and Development Corporation (FFRDC) – or ‘think tank’ – that traces its roots to MIT’s School of Engineering and Lincoln Labs during WWII, he leads their work in the development of artificial intelligence solutions for clinicians. The MITRE Corporation sits at the intersection of leading-edge technology, industry, and academia with an express mission of “Solving the world’s most complex problems”.

Prior to joining MITRE, he was the executive data science and machine learning officer for the Saint Francis Health System, a top-20 IBM Watson facility in Cape Girardeau, Missouri.

Dr. Bradbury uses data science methods to enable provider and payor organizations to realize the value inherent in their existing data streams. He partners with health systems to develop flexible and scalable analytic strategies to create sustainable strategic advantage while improving clinical outcomes, reducing avoidable spend, and improving patients’ experiences with healthcare delivery…all integral parts of the IHI’s Triple Aim initiative and the re-engineering of the healthcare system so that patients, their families, healthcare providers, and the nation, can benefit.

User Experience Researcher

Uber

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.

Director of Product Management

Google

For the past 10 years, Yariv has been leading products and product teams at Google Zurich. In his current role, he is leading the Zurich product team working on the Google Assistant. Prior to this role, Yariv worked on a wide range of products, including proprietary Google infrastructure, privacy and security, products designed for the Emerging Markets, and even the notorious non skippable ads on YouTube. Before joining Google, Yariv was an engineering manager in various Israeli start-ups and companies.

Data Ethics Lead

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.

Founder and Principal Researcher

Montreal AI Ethics Institute 

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.

His work focuses on applied technical, policy, and organizational measures for building ethical, safe, and inclusive AI systems and organizations, specializing in the operationalization of Responsible AI and its deployments in organizations and assessing and mitigating the environmental impact of these systems. He has advised national governments, multilateral organizations, academic institutions, and corporations across the globe. His work on community building has been recognized by governments from across North America, Europe, Asia, and Oceania. He is a highly sought after speaker with talks at the United Nations, European Parliament, G7 AI Summit, TEDx, Harvard Business School, Kellogg School of Management, amongst others. His writing on Responsible AI has been featured by Wall Street Journal, Forbes, MIT Technology Review, Protocol, Fortune, VentureBeat, amongst others. 

He is an alumnus of the US State Department International Visitors Leadership Program representing Canada and has received The Gradient Writing Prize 2021 for his work on The Imperative for Sustainable AI Systems. His research has been published in leading AI journals and presented at top-tier ML conferences like NeurIPS, ICML, and IJCAI. He is the author of the widely-read State of AI Ethics Report and The AI Ethics Brief. He formerly worked at Microsoft as a Machine Learning Engineer in Commercial Software Engineering (CSE) where his team helped to solve the toughest technical challenges faced by Microsoft's biggest customers. He also served on the CSE Responsible AI Board at Microsoft. You can learn more about his work here.

Conversational AI Designer

Intuit

Mid Data Scientist (Innovation)

Toyota Connected North America

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.

Research Team Lead, AI & Cybersecurity Expert

National Institute of Standards and Technology (NIST) 

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.

Product Analytics & Data Science

Adobe

Neha Borkar works in the Provisioning & Administration Analytics team at Adobe, driving ARR growth opportunities using predictive modeling and hypothesis-driven data analysis, as well as extensive work on A/B testing and designing 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.

Head of AI & Data Science Research

BT

Principal Researcher

Fujitsu Research

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.

Senior Staff Machine Learning Scientist

Wayfair

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.

Senior Manager, Conversation Design AI Development

RBC

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.

Senior Machine Learning Engineer

Wayfair

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.