Business Talks
Solution Partners
+ Sessions with 3 Day Pass
Companies Attending
AIX Tracks
Ai X Retail
Ai X Climate
Ai X Machines
Ai X Cyber & Fraud
Ai X Manufacturing
Ai X for Finance
Ai X for Marketing
Ai X for Healthcare
Ai X for Energy
Ai X Biotech & Pharma
Topics You’ll Learn
Applying Artificial Intelligence Across the Enterprise
Forming and Managing Effective AI Teams
Understanding Deep Learning and Machine Learning for Business
Understanding AI Ethics, Governance, and Bias in Models
Artificial Intelligence for Good
Explainable AI and Transparency in AI Workflows and Models
Artificial Intelligence Governance, Compliance, and Regulation
Leveraging AI for Online Marketing, Sales, and Advertising
Cybersecurity and Threat Detection with AI and Machine Learning
And many more topics over 3 days.
Keynote Speakers
SOME OF OUR CONFIRMED SPEAKERS
Sadie St Lawrence
Sadie St Lawrence is the Founder and CEO of Women in Data, a community of 30,000+ data leaders, practitioners, and citizens whose mission is to increase diversity in data careers. Women in Data has been named a Top 50 Leading Company of The Year, and has been rated as the #1 community for Women in AI and Tech. Sadie has trained over 400,000 people in data science and has developed multiple programs in machine learning and career development. Sadie has been awarded, Top 30 Most Inspiring Women in AI, Top 10 Most Admired Businesswomen to Watch in 2021, Top 21 Influencer in Data, and is the recipient of the Outstanding Service Award from UC Davis. In addition, she serves on boards, and is the host of the Data Bytes podcast.
Creating An Ethical AI Environment (Business Talk)
Gaurav Rao
Gaurav is currently the Executive Vice President and General Manager of Machine Learning and AI at AtScale. He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications.
Most recently, Gaurav served as VP of Product at Neural Magic – innovators in software acceleration for deep learning utilizing sparse model architectures. Previously, he served in a number of executive roles at IBM spanning product, engineering, and sales that were focused on taking cutting edge data science, machine learning, and AI products and solutions to market; specializing in model training, serving, mlops, and trusted AI in the context of driving business outcomes for enterprise applications. He is also an advisor to data and AI companies.
A New Era of Applied AI: How to Accelerate Enterprise Adoption of AI for Business Impact (Business Talk)
Victor Zitian Chen, PhD, CFA
Dr. Victor Zitian Chen, CFA, is a believer and action-taker on the idea of a world brain. Dr. Chen is currently the Director of Data Analytics and Insights, Experimental Design and Causal Inference at Fidelity Investments. He leads the causal analytics efforts across the personal investing business at the Fidelity, including experimentation, prescriptive analytics, and causal knowledge graph-based applications. Before joining Fidelity, Dr. Chen was a tenured professor in management and data science at the University of North Carolina, Charlotte, and a visiting professor in international business at Copenhagen Business School, Denmark. He led two major National Science Foundation (NSF) grants focusing on causal knowledge graph-based explainable AI and analytics applications. He founded and led the Global OpenLabs for Performance Enhancement-Analytics and Knowledge System (GoPeaks) – a startup to advance and commercialize knowledge synthesis and causal/prescriptive analytics solutions for business decisions.
Causal/Prescriptive Analytics in Business Decisions(Business Talk)
Jeremy Gu
Jeremy Wenxiao Gu is the Director of Data Science and manages the statistical experimentation team at Shipt Inc, San Francisco. The company is an American delivery service owned by Target Corporation. Before Shipt, Jeremy was Data Science Manager at Stitch Fix (2020-2021), Data Scientist and Manager at Uber (2017-2019), and Data Scientist at Amazon (2014-2017). Jeremy received an MS in Statistics from the University of Washington (2014) and a BS in Mathematics and Statistics from the University of Minnesota (2012). Jeremy is also a member of the American Statistical Association (ASA). He served as Chapter Vice President and Chapter Representative of ASA for three years (2015-2018).
Using Causal Inference Model to Set Up Financial Goals of Company(Business Talk)
Anna Litvak-Hinenzon, PhD
Anna Litvak-Hinenzon is SVP, Global Head of Data Science at The RepTrak Company. She leads RepTrak’s global international data organization, providing clients with actionable data insights on Reputation, Brand, and ESG. As a data and technology leader for over 15 years, Anna helps organizations to achieve goals with data products powered by cutting-edge machine learning and AI models leveraging multiple data sources. Anna is a passionate digital transformation leader, an author of numerous patents and papers, with a Ph.D. in Applied Mathematics in her background.
How to Model Public Opinions in the Media Age(Business Talk)
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WHY ATTEND
Expert Executive AI Speakers
Hear from top expert speakers and prepare your company for the next wave of innovation and growth. Here is a sample of our incredibly insightful session topics for 2022
How to Effectively Scale ML & AI in Any Organization
How Healthcare Data Science is Special
Everybody onboard: Talk AI to non-STEMs
Measuring Integrity: Emergent Data Science Techniques within the Legal, Regulatory & Compliance Space
What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making
Accelerating the machine learning workflow: How to build the right ML experience for engineers
Automating Industrial Inspection with Deep Learning and Computer Vision
Powering Conversational AI to Enhance Global Customer Experience
Data-Driven Innovation in the Federal Government
Machine Learning and Robotics in Healthcare Devices and Rehabilitation
Participate at ODSC West 2023
As part of the global data science community we value inclusivity, diversity, and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conduct, speaker submissions, or speaker committee pages.
Some of Our Past Speakers
Ella Hilal, PhD
Ella Hilal is an active researcher and a subject matter expert with more than 15 years of experience in data intelligence, machine learning, ambient intelligence, autonomous systems, and Internet of Things, backed by versatile experience in academia and the tech industry in proactive innovation, solution development, and turning novel ideas into revenue-generating products. Dr. Hilal has been recognized as one of the leading women in the Internet of Things and Machine-to-Machine space by the Connected World forum. She has a Doctorate degree in Pattern Analysis and Machine Intelligence from the University of Waterloo. She is the Director of Data Science and Engineering for Plus and International at Shopify. Dr. Hilal is also an adjunct assistant Professor at the University of Waterloo. Dr. Hilal has been recognized numerous prestigious awards, most prominent of which are NSERC IRDF, NSERC CGS, Fulbright, DAAD, and OGS. Dr. Hilal is an active evangelist for responsible innovation, women in tech, and STEM. She has also been recognized by the Google Anita Borg Memorial Scholarship as a Google scholar for her active role and leadership in supporting women in technology. She has been recognized as a champion in a Women in Technology Peer2Peer group, where professionals in the Waterloo region explore challenges and share insights to encourage retention and advancement of women in technology.
How to Effectively Scale ML & AI in Any Organization(Business Talk)
Jeremy Osinski
Jeremy is a leader in leveraging advanced analytics and data science within the legal, risk and compliance space. He leads the Forensics Technology and Innovation team within New England for Ernst & Young LLP.
Jeremy assists clients in enhancing integrity programs through data-driven techniques. He focuses on forensic data analytics, electronic discovery, information governance and cybercrime. He has served clients within financial services, power and utilities, and the public sector.
Jeremy has built teams and served clients on five continents. He is also a cofounder of the EY flagship forensic analytics platform, “EY Virtual.” He has delivered technology-enabled managed services to many clients.
He is a frequent speaker around emergent technologies, including artificial intelligence and robotic process automation.
Jeremy holds BS degrees in Finance and Economics from the Villanova School of Business at Villanova University. He is a certified fraud examiner and certified anti‑money laundering specialist.
Measuring Integrity: Emergent Data Science Techniques within the Legal, Regulatory & Compliance Space(Business Talk)
Kerry Weinberg
Kerry Weinberg leads Data at League, North America’s leading Health OS. Before joining League, Kerry led Data Science & Engineering for Amgen’s Digital Health & Innovation where her team applied machine learning to better understand human disease, improve Amgen’s ability to reach patients, and improve patient outcomes. Before joining Amgen, Kerry received her MBA and M.S. Biological Engineering from MIT as part of the Leaders for Global Operations Program. She previously led systems engineering efforts for high-speed cell sorters at Beckman Coulter. Kerry holds a B.S. Biological Engineering also from MIT.
A Day in the Life: Data in Digital Health(Business Talk)
Kristen Honey, PhD
As the Deputy Chief Data Officer of Strategy at the Department of Health and Human Services (HHS), I play a critical role in advancing and transforming HHS headquarters into a data-driven culture while ensuring optimal use of data to produce evidence-based policymaking and improvements of operations. Prior to joining HHS, I served in the White House for 3 years across 2 Administrations, first working as a Policy Advisor to the U.S. Chief Technology Advisor in the Office of Science and Technology Policy (OSTP), and then as a Senior Policy Analyst in the Office of Management and Budget (OMB).
Data-Driven Innovation for COVID-19(Business Talk)
Jeff Potts, PhD
Jeff Potts is the Advanced Analytics Leader for Baker Hughes. Jeff leads an interdisciplinary team of senior data scientists and technologists to deliver new analytics solutions leveraging AI and ML across Baker Hughes product companies, with focus on applications for industrial inspection, additive manufacturing, and energy transition. Jeff holds a PhD in Materials Engineering from the University of Texas at Austin and a bachelor’s degree in Mechanical Engineering from Oklahoma State University. He has published over twenty technical publications and filed over ten patent applications, with technical and leadership experience in a variety of areas including artificial intelligence, energy storage, augmented/mixed/virtual reality technologies and materials development.
Automating Industrial Inspection with Deep Learning and Computer Vision(Business Talk)
Olga Beregovaya
A seasoned professional with over 20 years of leadership experience in language technology, NLP, ML and AI data generation and annotation, Olga is the VP, AI Innovation at Welocalize. She is passionate about growing business through driving change and innovation, and an expert in building things from scratch and bringing them to measurable success. Olga has experience on both the buyer and the supplier side, giving her unique perspective around establishing strategic buyer/supplier alliances and designing cost-effective Global Content Lifecycle Programs. She has built and managed global production, engineering and development teams of up to 300 members specializing in NLP and broader ML and AI.
Creating Data to Enable Multilingual AI: What Can Go Wrong and Ways to Mitigate It (Business Talk)
Serg Masis
Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he’s a Climate and Agronomic Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a search engine startup, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events efficiently. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making. He wrote the bestselling book “Interpretable Machine Learning with Python” and is currently working on a new book titled “DIY AI” for Addison-Wesley for a broader audience of curious developers, makers, and hackers.
Enhance Trust with Machine Learning Model Error Analysis(Workshop)
David Gilmore
David Gilmore is a serial entrepreneur with a track record of building elite global teams, creating and launching enterprise software products built on emerging technologies, and executing complex GTMs in healthcare, adtech, national security, and finserv. Currently, David leads federated (multi-cloud) and privacy-preserving analytics products at LiveRamp where he serves as the Head of Privacy Tech Solutions. Previously, David was the CEO at Datafleets, which was acquired by LiveRamp in February 2021.
A Framework for Evaluating Privacy-preserving Data Infrastructure for Collaboration(Business Talk)
Francesco Murdaca
Francesco is a senior data scientist/software engineer at Red Hat and he is part of the AI Centre of Excellence (AICoE) and Office of the CTO. He works with the Thoth team, where they created a recommender system to help developers (including data scientists) to focus on important problems offloading many tasks that are automated and performed by pipelines and bots. He has a passion for AI, software and space. He previously worked on a research project with the European Space Agency (ESA) and industrial partners mixing AI and space to create a recommender system for the design of satellites. He loves to read, travel and learn languages.
Reproducibility and Dependencies for Jupyter Notebooks(Business Talk)
Nick Elledge
Nick Elledge is the head of operations for privacy technology at LiveRamp, where he is responsible for accelerating the development of the company’s privacy-enhancing technologies. His extensive experience bringing privacy-first solutions to market is integral to LiveRamp’s international growth. Prior to LiveRamp, Nick founded DataFleets, a privacy-preserving analytics platform. He previously was vice president and chief investment officer of E.L. Rothschild. Before that, he was a venture capital investor at Andreessen Horowitz, an innovation consultant to the United Nations World Food Programme, and a business analyst at McKinsey & Company.
Nick holds an MBA from Stanford University, a Master’s of Public Administration in international economics from Harvard University, a bachelor of science and bachelor of arts in economics and public policy from Southern Methodist University. He loves international travel, ultimate frisbee, and improv comedy.”
A Framework for Evaluating Privacy-preserving Data Infrastructure for Collaboration(Business Talk)
Jay Fraser
Jay is a tech executive and military leader with 15 years of multinational experience including general management of small to mid-size organizations. He currently leads Global Business Development efforts in HP’s Data Science Business. Jay joined HP in 2015 after spending 8 years on active duty as a Marine Infantry Officer serving in a variety of leadership roles and deploying across the globe. He holds a BS from the US Naval Academy and an MBA from UCLA. Although he was born and raised in Boston and his loyalty lies with New England sports teams, he enjoys living with his wife in beautiful San Diego!
The Power of Data Science – Real World Use Cases(Business Talk)
Tom Coyle
Tom is a graduate of the U.S. Military Academy at West Point and served 7 years as an Army Officer. Following his Army service, he became a diplomat where he served in numerous overseas postings and conducted various trips abroad. Upon returning to Washington, DC, he became interested in technology and started exploring the startup work. He also joined a task force to help bring AI and other emerging technology to the government. He also started a leadership company called Adventures in Leadership. Starting in 2019, he devoted the company to teaching AI for Decision Makers. He helped clients plan, develop, and procure AI solutions to their business use cases and taught AI classes for C-Suite executives.
In 2020, he joined DataRobot where he worked as Director of Strategic Initiatives under CEO and Founder Jeremy Achin. While there, he helped outline government strategy and led the development of several COVID-19 related projects. He also developed a fantasy football application using DataRobot. He also led teams in developing cyber security and insider threat solutions for government customers and also taught AI classes for U.S. government customers.
He is the CTO and co-founder of Sciencella LLC, an early stage health tech startup. He currently serves as an AI advisor for Veloxxity LLC and Royal Technology and Agriculture. He is the author of Leadership Lessons from the Battle of Gettysburg, which also includes lessons on what happens when leaders do not adapt to new technology. He is an avid musician, reader, husband, and father.
Leadership and AI(Business Talk)
Aaron Cheng, PhD
Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems. Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America. Aaron received his Ph.D. degree in Applied Physics from Northwestern University.
Managed AI: How To Avoid The Pitfalls of No-Code AI(Business Talk)
Marcella Valentine
Marcella Valentine is a founding technical program manager at CrowdAI. She serves as a thought leader on building the right data foundation for scalable machine learning projects, from the United States Government to the Fortune 500, turning customer ideas and needs into actionable machine learning project plans. Her background is in large scale geospatial projects and has previously worked in groundwater flow research and contamination cleanup. She holds a Bachelors of Science in Geophysics and Geographic Information Systems from the University of California, Davis.
Accelerating the Delivery of Vision AI(Business Talk)
West 2021 Registration
AI X Business Summit at ODSC West 2021
20% Last Chance | Offer ends in:
Choose your Pass
Access to AI Solution Showcase Expo Area & Demo Talks
AI Expo and Demo Hall
Accelerate AI Business Summit (Business Talks&Panels)
Virtual AI X Business Summit (Business Talks & Panels on Tue)
Access to Keynotes, Talks & Workshops
VIP, Speaker&Business Networking Recception
Daily Access to Speaker/VIP Networking Lounge & Lunch
VIP Registration & Gift Bag
3-Days Ai X
Pass
$699
IN-PERSON. All 3 Days
(Business Talks, & ODSC Talks & Workshops on Day 2 - 3)
AI X West Schedule
Agenda Overview
Day 1 (Nov 16) -AI Talks & Tutorials
Gain proficiency in essential AI skills and accelerate your insights by attending one of our many introductory-level talks and workshops. After attending these sessions, you will better understand the basics of AI and its incredible potential for accelerated growth. Co-located at ODSC West, we have some of the best and brightest speakers on the planet presenting on topics including:
How to Effectively Scale ML & AI in Any Organization
How Healthcare Data Science is Special
Everybody Onboard: Talk AI to Non-STEMs
Measuring Integrity: Emergent Data Science Techniques Within the Legal, Regulatory & Compliance Space
What do Planes and Machine Learning Have in Common? How Interpretable ML Can Improve Decision-Making
Powering Conversational AI to Enhance Global Customer Experience
Automating Industrial Inspection with Deep Learning and Computer Vision
Day 2 (Nov 17) -AI Talks & ODSC Tutorials
Included with 3 Day Pass
In addition to Ai X talks and keynotes, you can access all talks and workshops on our ODSC Day 2 schedule. Introductory sessions include:
NLP Fundamentals
Artificial Intelligence for Conservation and Sustainability: From the Local to the Global
Using Deep Learning to Understand Documents
MLOps… From Model to Production
Responsible AI; From Principles to Practice
DistilBERT: Build a Question Answering System using Transfer Learning in Python
Generative Art and Design with TensorFlow
Day 3 (Nov 18) -ODSC Talks & Tutorials
Included with 3 Day Pass
In addition to Ai X talks and keynotes, you get access to all talks and workshops on day 3 of our ODSC schedule. Introductory sessions include:
Introduction to Scikit-learn: Machine learning in Python
Causal Machine Learning: Using Causality to Drive Growth
Evolution of Natural Language Processing (NLP) and Conversational AI
Using AI to Overcome Bias & Make Hiring More Equitable
Deep Dive into Reinforcement Learning
Image Recognition with TensorFlow
Introduction to Data Visualization in Python
Accelerate Your Business With AI
Savvy business professionals and executives are embracing AI to accelerate growth
Attend Accelerate AI and better understand exactly how impactful AI solutions can reshape your business; learn how to incorporate AI across the enterprise
Case Studies
Discussion Panels
Solution Showcase
Executive Workshops
Presentations
Networking Sessions
Health Care
Biotech
Pharma
Life Sciences
Financial Services
Quant Finance
Insurance
Banking
Cross Industry
Auto & Manufacturing
Retail & Online
Media & Marketing
Why Attend?
AI and data science is transforming business. The CxO summit will give you the knowledge and connections to be at the forefront.
Superior Content
Hear from top industry executives using data science to grow their business
Attend talks, panels, and group discussions to get you up to speed
Learn from the best and brightest AI and data science innovators
Attend non-technical talks that will help you understand AI and data science
Superior Networking
Meet executives from multiple industries engaging AI and data science
Connect with the best and brightest AI and Data Science innovators
Network, connect, and collaborate with those defining the future of business
Participate in multiple networking events, including breakfast, lunch, and evening reception
Superior Expo
Attend one of the largest AI and data science Expos on the west coast
Discover first-hand these innovative products and services
Gain insight into how AI and data science can transform your business
View live on-floor presentations and product demonstrations
Who Should Attend?
Business executives: including VPs, heads, and leads from Healthcare, Education, Finance, Insurance, Bio/Pharma, Manufacturing, Retail, Media & Marketing, Energy & Utilities, Government, Transportation, E-commerce and other key industries.
Chiefs and Heads of: Data, Data Science, Technology, Information, Analytics, Strategy, Innovation, Marketing, and others.
Innovators such as: Startup-ups, Investors, VC’s, Entrepreneurs, Evangelists & Decision-makers, and Strategy Executives.
Media
ODSC Events attract some of the world’s most influential and market-shaping publications, across trade and industry publications and blogs.
As AI and data science transform industry and touch every aspect of our lives, more people need to be informed of its impact. Come hear and meet the thought leaders, core contributors, and innovators who are driving this new age of disruption.
Become an AI Expert
Day 1
HEAR and LEARN from AI Experts on how to apply AI in your business and career
Day 2 and 3
At our solution showcase Expo, EXPERIENCE first-hand the platforms and tools that make AI work in the real world
Day 3 and 4
At our ODSC workshops and talks, LEARN THE BASICS to work with AI experts and data scientists in a language they understand
Learn from leading AI experts real world methods for applying AI
Experience and understand first hand at our solution showcase the platforms delivering AI
Attend our kick-start talks and hands-on workshops to learn the basics of deep learning, machine learning and other key topics
Learn the language of AI and meet and network with the experts in person to help you advance in the field of AI
Return to your workplace with the knowledge and understanding to accelerate your business and career with AI
Ready to Become an AI Expert?
Register nowPartnering With ODSC
ODSC Newsletter
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